Derniers tutorials ajoutés (Tuto.com) https://en.tuto.com/rss/last-entries Les derniers tutorials ajoutés sur Tuto.com fr-FR Copyright 2017 Responsive Web Design – From Concept to Complete Site https://en.tuto.com/css/responsive-web-design-from-concept-to-complete-site-css,85991.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/85991.jpg"/><br><strong>Easily design responsive websites</strong> that can adapt to any device regardless of screen size using HTML 5 and CSS3 <h2>About This Responsive Web Design video course</h2> <ul> <li>Learn how to create fluid styles that flow to fill a browser of any size</li> <li>Discover <strong>the best design and coding practices</strong> in <strong>HTML5</strong> and <strong>CSS3 for</strong> flexible layouts</li> <li>Contains <strong>everything you need to know to create simple to complex responsive sites</strong> starting from a design mockup to implementing it as a finished product</li> </ul> <h3>Course In Detail</h3> There&rsquo;s never been a greater range of screen sizes of tablets, smartphones, and even televisions and associated web view user experiences to consider. Web pages being built to be responsive provide the best possible version of their content to match the viewing devices of not just today&rsquo;s devices but tomorrow&rsquo;s too.<br /> <br /> This <strong>video course </strong>walks you through crafting responsive websites that provide an optimal viewing experience on any device using HTML5 and CSS3.<br /> <br /> By following this<strong> structured video course</strong>, you will<strong> learn how to convert fix-width layouts to responsive layouts</strong>, contain a fluid layout with maximum or minimum properties, write syntax for a media query, select breakpoints, write HTML to embed all the saved elements into a page, and add CSS to your site ensuring that you have <strong>the skills to create your very own responsive website quickly and efficiently.</strong><br /> <br /> Responsive Web Design &ndash; From Concept to Complete Site starts with an overview of the technology, the best practices to follow, and then moves on to a complete implementation of a responsive site using HTML5 and CSS3 media queries.<br /> <br /> After learning the essentials of responsive web design in the introductory section, you will walk through splitting a mockup into images and content areas, defining a fluid grid using those divisions, creating a percentage-based layout for the fluid grid with CSS, and then begin creating a full-functional responsive page. The latter section contains hands-on exercises that will walk you through all the HTML5 and CSS3 code required to build your sample page.<br /> <br /> This course ends with an <strong>overview on the future of web design</strong>, the features you can use today, and tips on how to remain current in the field. https://en.tuto.com/css/responsive-web-design-from-concept-to-complete-site-css,85991.html Fri, 30 Jun 2017 11:36:29 +0200 Fun Projects with Vue 2 https://en.tuto.com/vue-js/fun-projects-with-vue-2-vue-js,86141.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/86141.jpg"/><br>Get up and running with simple and fun projects using the <strong>Vue.js</strong> framework! <h2>About This Vue.JS video course</h2> <ul> <li><strong>Create your own custom applications</strong> based on intelligently designed, readable code templates</li> <li>Address different designs for single page application frameworks with interactivity for the web</li> <li>Get up and running with Vue.js&rsquo; features and handle the Vue ecosystem effectively!</li> </ul> <h3>Vue.JS video tutorial In Detail</h3> <strong>Vue.js is the latest JavaScript framework </strong>to take web development community by Storm. Since its release, it has managed to establish itself as <strong>one of the most popular frameworks</strong> for building user interfaces and is seeing<strong> rapid adoption rate</strong>.<br /> <br /> With <strong>Vue.js 2 </strong>released now, there are major improvements made in the framework making it leaner and faster<br /> <br /> In this <strong>video course</strong>, you will start with creating a To-Do Application, where you will be taken through<strong> the necessary basics of Vue</strong>, and learn to add, toggle, remove, and change a to-do item. After that, you will build a GitHub application which connects to GitHub using the Axios client. <strong>You will learn to create different Vue components</strong> as well as handle computed properties for your application. Finally, you will then <strong>build a real-time chat application</strong>, where you will work with Pusher service, Vue Router, and Vuex.<br /> <br /> By the end of this course, you will have worked with the different features of Vue.js that will make you fall in love with single page web application development. https://en.tuto.com/vue-js/fun-projects-with-vue-2-vue-js,86141.html Mon, 03 Jul 2017 11:12:27 +0200 Data Science with Spark https://en.tuto.com/apache-spark/data-science-with-spark-apache-spark,86331.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/86331.jpg"/><br>Get started with <strong>Spark for data science</strong> using this unique <strong>video tutorial</strong> <h2>About This Data Science with Spark video course</h2> <ul> <li>Explore various facets of <strong>data science with Spark</strong> using this example-rich video</li> <li>Learn how to tell a compelling story in data science using Spark&#39;s eco-system</li> <li>Get up and running with Apache Spark and clean, analyze, and visualize data with ease</li> </ul> <h3>Apache Spart video course In Detail</h3> The real power and value proposition of <a href="https://spark.apache.org/" target="_blank" title="Apache Spark">Apache Spark</a> is its speed and platform to execute <strong>Data Science</strong> tasks. Spark&#39;s unique use case is that it combines ETL, batch analytic, real-time stream analysis, machine learning, graph processing, and visualizations to allow Data Scientists to tackle the complexities that come with raw unstructured data sets. Spark embraces this approach and has the vision to make the transition from working on a single machine to working on a cluster, something that makes data science tasks a lot more agile.<br /> <br /> In this video course, you&rsquo;ll get a hands-on technical resource that will enable you to<strong> become comfortable and confident working with Spark for Data Science</strong>. We won&#39;t just explore Spark&rsquo;s Data Science libraries, we&rsquo;ll dive deeper and expand on the topics.<br /> <br /> This<strong> video training</strong> starts by taking you through Spark and the needed steps to <strong>build machine learning applications</strong>. You will learn to collect, clean, and visualize data coming from Twitter with Spark streaming. Then, you will get acquainted with Spark Machine learning algorithms and different machine learning techniques. You will also learn to apply statistical analysis and mining operations on our Tweet dataset. Finally, the course will end by giving you some ideas on how to perform awesome analysis including graph processing.<br /> <br /> By the end of the course, <strong>you will be able to do your Data scientist job in a very visual way</strong>, comprehensive and appealing for business and other stakeholders. https://en.tuto.com/apache-spark/data-science-with-spark-apache-spark,86331.html Mon, 03 Jul 2017 12:03:35 +0200 Fundamentals of R Programming and Statistical Analysis https://en.tuto.com/r/fundamentals-of-r-programming-and-statistical-analysis-r,86901.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/86901.jpg"/><br>A comprehensive guide to <strong>working on statistical data with the R </strong>language <h2>About This Fundamentals of R Programming and Statistical Analysis Video course</h2> <ul> <li>Perform <strong>basic and advanced scientific computing</strong>.</li> <li>Look into the <strong>various phases of statistical analysis</strong> using R</li> <li>Get a clear understanding of <strong>how to manipulate data </strong>by working on real-world, practical examples</li> </ul> <h3>Course In Detail</h3> The <strong>R language </strong>is widely used among <strong>statisticians</strong> and <strong>data miners</strong> to develop statistical software and <strong>data analysis</strong>.<br /> <br /> In this<strong> video course,</strong> we&rsquo;ll start by diving into the <strong>different types of R data structures</strong> and y<strong>ou&rsquo;ll learn how the R programming language handles data.</strong> Then we&rsquo;ll look in-depth at manipulating different datasets in R. After that, we&rsquo;ll dive into <strong>data visualization</strong> with R, using basic plots, heat maps, and networks. We&rsquo;ll explore the different flow control loops of the R programming language, and you&rsquo;ll learn how to debug your code.<br /> <br /> In the second half of the course, you&rsquo;ll get hands-on working with the various statistical methods in R programming. You&rsquo;ll find out how to work with different probability distributions, various types of hypothesis testing, and statistical analysis with the R programming language.<br /> <br /> By the end of this video course, you will be well-versed in <strong>the basics of R programming </strong>and the various concepts of statistical data analysis with R.<br /> &nbsp; https://en.tuto.com/r/fundamentals-of-r-programming-and-statistical-analysis-r,86901.html Mon, 03 Jul 2017 11:40:12 +0200 Mastering Meteor: Powerful Reactive Applications with Full-Stack JavaScript https://en.tuto.com/meteor/mastering-meteor-powerful-reactive-applications-with-full-stack-javascript-meteor,86211.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/86211.jpg"/><br>Master one of the most exciting <strong>full-stack JavaScript platforms: Meteor,</strong> to build powerful, reactive applications <h2>About This Meteor: Powerful Reactive Applications Video course</h2> <ul> <li>Dive deep into <strong>Meteor</strong> and discover how it can be used as a powerful engine to <strong>develop virtually any application</strong></li> <li>Immerse yourself in <strong>full-stack JavaScript</strong> and understand how much easier development can be by using JavaScript everywhere</li> <li><strong>Learn by doing</strong>&mdash;build a complex, <strong>feature-rich application</strong> and go further by integrating it with other frameworks</li> </ul> <h2>Meteor video tutorial In Detail</h2> <strong>Meteor</strong> is a powerful platform that enables end-to-end, client and server-side <strong>web application development entirely in JavaScript.</strong> It enters as an alternative to popular full-stack options such as MEAN and offers developers the opportunity to vastly <strong>simplify development concerns</strong> while building applications on the run. Meteor&#39;s reactive approach to development makes good to<strong> create real-time applications</strong> with, and the platform provides an excellent option for deployment to mobile.<br /> <br /> This <strong>video course</strong> gets right under the hood of the <strong>Meteor platform</strong>, demonstrating how to take advantage of its powerful development engine to build exciting, versatile applications.<br /> We start by carefully designing an application structure, building a single page layout with multipage routing, and adding authentication. We&rsquo;ll expose database data, and then look at how to work with subscriptions and queries. Then, we dive into the options for templating, with a look at dynamic Blaze templates and the Spacebars templating language. You&rsquo;ll learn event handling and then test our application using Cucumber and Jasmine. After that, we deploy our application locally on the <strong>Meteor server</strong>, and then to Amazon to set it up for frequent updates and hot code deployment. Finally, you&rsquo;ll learn how to work with third-party integrations, and set up REST endpoints to interact with other external services such as PayPal.<br /> <br /> This <strong>video training</strong> will help you to <strong>work at your own pace</strong> while mastering the patterns used to define all of the critical pieces of a web application.<br /> &nbsp; https://en.tuto.com/meteor/mastering-meteor-powerful-reactive-applications-with-full-stack-javascript-meteor,86211.html Mon, 03 Jul 2017 14:00:45 +0200 Machine Learning with Scala https://en.tuto.com/scala/machine-learning-with-scala-scala,86381.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/86381.jpg"/><br>Explore the most innovative and cutting edge <strong>machine learning techniques with Scala</strong>. <h2>About This Machine Learning with Scala Video course</h2> <ul> <li>Learn how to implement classification, regression, and clustering</li> <li>Discover<strong> key Scala machine learning libraries</strong>, what each library brings to the table, and what kind of problems each library is able to solve</li> <li><strong>Dive deep into the world of analytics</strong> to predict situations correctly</li> </ul> <h3>Machine Learning with Scala In Detail</h3> The ability to apply <strong>machine learning</strong> techniques to large datasets is becoming a highly sought-after skill in the world of technology. <strong>Scala</strong> can help you <strong>deliver key insights into your data</strong>&mdash;its unique capabilities as a language let you build sophisticated algorithms and statistical models. For this reason, <strong>machine learning and Scala</strong> fit together perfectly and knowledge of both would be beneficial for anyone entering the data science field.<br /> <br /> The course starts with a <strong>general introduction to the Scala programming language</strong>. From there, you&rsquo;ll be introduced to <strong>several practical machine learning algorithms</strong> from the areas of exploratory data analysis. You&rsquo;ll look at supervised learning machine learning models for prediction and classification tasks, and unsupervised learning techniques such as clustering and dimensionality reduction and neural networks.<br /> <br /> By the end, you will be comfortable applying <strong>machine learning algorithms to solve real-world problems</strong> using <strong>Scala</strong>. https://en.tuto.com/scala/machine-learning-with-scala-scala,86381.html Mon, 03 Jul 2017 14:28:15 +0200 Angular 2 Deep Dive https://en.tuto.com/angularjs/angular-2-deep-dive-angularjs,87081.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/87081.jpg"/><br>Dive into the core architectural components and concepts of <strong>Angular 2 </strong>to develop strongly structured, versatile <strong>web applications</strong>. <h2>About this Angular 2 Deep Dive Video course</h2> <ul> <li>Create dynamic components and navigate through the various pages of an application</li> <li>Take advantage of powerful data binding and incorporate complex business logic with services</li> <li>Discover fundamentals as well as deeper topics for each area of learning, all through <strong>practical examples</strong></li> </ul> <h3>Angular 2 video course In Detail</h3> <strong>Angular 2</strong> promises cross-platform coding, greater development efficiency, better speed and performance and incredible tooling to create applications, both mobile and desktop.<br /> Angular 2 is a massive architectural overhaul from its predecessor, and will completely change the way developers approach JavaScript web development. The redesign incorporates several new key development concepts and practices, meaning developers have to adopt a <strong>new way of approaching projects with Angular</strong>.<br /> <br /> This <strong>video training</strong> delivers an early deepdive into the architectural aspects of Angular 2 development, and imparts the knowledge you need to understand comprehensively and put into practice the key concepts powering the framework.<br /> <br /> We will begin by grasping the concepts of Angular 2, and apply them to an application that grows in complexity throughout the course, culminating in a fully-featured example of song-library.<br /> You will discover how to present data to users while also ensuring that their interactions on the UI are handled by the presentation layer of your app. Then, we will take a look at business logic needs so that the system behaves exactly as per your requirements; here services and other abstraction layers will come into play.<br /> <br /> You will also learn how to create forms with ease, and smoothly handle validation. At the end, we&rsquo;ll glue all these development aspects with reactive and asynchronous programming, which you will embrace as you learn to control flows and story lines of actions in the app.<br /> <br /> This course will not only teach you the ropes of developing with the framework, but also help you build more complex and future-proof applications. https://en.tuto.com/angularjs/angular-2-deep-dive-angularjs,87081.html Mon, 03 Jul 2017 14:40:44 +0200 Deep Learning with Python https://en.tuto.com/python/deep-learning-with-python-python,87031.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/87031.jpg"/><br>Dive into the future of <strong>data science</strong> and implement intelligent systems using <strong>deep learning with Python</strong>. <h2>About This Deep Learning with Python Video course</h2> <ul> <li>Gain an insight into the world of <strong>deep learning </strong>based AI programs</li> <li>Implement automatic image recognition and text analysis models using deep learning</li> <li> <h3>Get to know each concept along with its practical implementation</h3> </li> </ul> <h3>Deep Learning with Python In Detail</h3> <strong>Deep learning</strong> is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in <strong>Python</strong>. The aim of deep learning is to <strong>develop deep neural networks </strong>by increasing and improving the number of training layers for each network, so that a machine learns more about the data until it&rsquo;s as accurate as possible. Developers can avail the techniques provided by deep learning to accomplish complex machine learning tasks, and train AI networks to develop deep levels of perceptual recognition.<br /> <br /> Deep learning is the next step to machine learning with a more advanced implementation. Currently, it&rsquo;s not established as an industry standard, but is heading in that direction and brings a strong promise of being a game changer when dealing with raw unstructured data. Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language processing. Developers can avail the benefits of building AI programs that, instead of using hand coded rules, learn from examples how to solve complicated tasks. With deep learning being used by many data scientists, deeper neural networks are evaluated for accurate results.<br /> <br /> This <strong>video course </strong>takes you from basic calculus knowledge to <strong>understanding backpropagation</strong> and its application for <strong>training in neural networks for deep learning</strong> and understand automatic differentiation. Through the <strong>tutorial</strong>, we will cover thorough training in convolutional, recurrent neural networks and build up the theory that focuses on supervised learning and integrate into your product offerings such as search, image recognition, and object processing. Also, we will examine the performance of the sentimental analysis model and will conclude with the introduction of Tensorflow.<br /> <br /> By the end of this course, <strong>you can start working with deep learning right away</strong>. This course will make you confident about its implementation in your current work as well as further research. https://en.tuto.com/python/deep-learning-with-python-python,87031.html Mon, 03 Jul 2017 15:37:47 +0200 Deep Learning with TensorFlow https://en.tuto.com/tensorflow/deep-learning-with-tensorflow-tensorflow,86401.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/86401.jpg"/><br>Channel the power of <strong>deep learning</strong> with <strong>Google&#39;s TensorFlow</strong>! <h2>About This Deep Learning with TensorFlow Video course</h2> <ul> <li>Explore various possibilities with <strong>deep learning</strong> and gain amazing insights from data using Google&rsquo;s brainchild&mdash;<strong>TensorFlow</strong></li> <li>Want to learn what more can be done with deep learning? Explore various neural networks with the help of this comprehensive guide!</li> <li>Rich in concepts, this is an advanced guide on deep learning that will give you the background to innovate in your environment</li> </ul> <h3>Deep Learning with TensorFlow In Detail</h3> <strong>Deep learning</strong> is the intersection of statistics, artificial intelligence, and data to build accurate models and <strong>TensorFlow</strong> is one of the newest and <strong>most comprehensive libraries for implementing deep learning</strong>.<br /> <br /> With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. This <strong>video course </strong>is your guide to<strong> exploring the possibilities with deep learning</strong>; it will enable you to <strong>understand data like never before!</strong><br /> <br /> With the efficiency and simplicity of <strong>TensorFlow</strong>, you will be able to process your data and gain insights that will change how you look at data.<br /> <br /> With this <strong>video tutorial</strong>, you will dig your teeth deeper into the hidden layers of abstraction using raw data. This course will offer you various complex algorithms for deep learning and <strong>various examples</strong> that use these <strong>deep neural networks</strong>. You will also learn how to train your machine to craft new features to make sense of deeper layers of data. During the video course, you will come across topics such as logistic regression, convolutional neural networks, recurrent neural networks, training deep networks, high level interfaces, and more.<br /> <br /> With the help of novel practical examples, <strong>you will become an ace at advanced multilayer networks, image recognition, and beyond</strong>. https://en.tuto.com/tensorflow/deep-learning-with-tensorflow-tensorflow,86401.html Mon, 03 Jul 2017 15:19:16 +0200 Responsive Web Design: Advancing your Design to the Modern Web https://en.tuto.com/css/responsive-web-design-advancing-your-design-to-the-modern-web-css,86001.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/86001.jpg"/><br>A fascinating journey into the world of <strong>responsive web design</strong> <h2>About This Resonsive Design video course</h2> <ul> <li>Polish your skills to design highly responsive websites for the modern web</li> <li>Learn how to plan your design for print, web, mobile, and even TVs</li> <li>Gaze into the future of web design with <strong>CSS4 features!</strong></li> </ul> <h3><strong>Course In Detail</strong></h3> The modern web puts the user at the center of all activities. With 100s of different devices out there, web designers must up their game and develop sites that work for TV, mobile, and print, and large as well as small screens. The modern web is based on responsive websites that adapt to the user and their needs. Today websites reach far and wide from computers, TVs, printers, and e-books to mobile devices. The old way of building websites doesn&#39;t work anymore and we need to move to a responsive web design strategy to keep up with the changing world.<br /> <br /> This <strong>video course </strong>walks you through all the steps involved in <strong>building responsive designs</strong> with ease and will <strong>upgrade your skills as a web designer</strong>.<br /> <br /> We will start off with the <strong>basics of media queries</strong>, which are the key to responsive design, and creating custom layouts based on output type. You&rsquo;ll get a <strong>deeper understanding of responsive design</strong>, how to plan for it, and how to work with various media query expressions and features. <strong>You&rsquo;ll learn how to design for multiple devices and resolutions</strong>, and <strong>optimize</strong> for media types including print, screen, mobile, desktop, and more. In addition, you will also become familiar with central responsive frameworks, such as <strong>Bootstrap</strong>, and will become able to tackle responsive design challenges using effective design strategies.<br /> <br /> Finally, we will look at the future of web design and discuss <strong>CSS4 media queries</strong>, which were still in the planning stages when this course was being developed. These are not supported yet by browsers, but will give us a glimpse of what lies ahead to help us understand the possible future for media queries.<br /> This video course is the ultimate guide to responsive web design that will give you all the knowledge and skills needed to create fully responsive designs for the modern web! https://en.tuto.com/css/responsive-web-design-advancing-your-design-to-the-modern-web-css,86001.html Fri, 30 Jun 2017 11:39:53 +0200 Angular 2 Solutions - Intermediate Concepts https://en.tuto.com/angularjs/angular-2-solutions-intermediate-concepts-angularjs,85921.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/85921.jpg"/><br>Around <strong>25 recipes to help you become pro </strong>in building<strong> powerful web apps with Angular 2</strong> <h2>About This Angular 2 video training</h2> <ul> <li>This first-rate reference guide&#39;s clear structure and intuitive index give you as a developer exactly the information you want in exactly the way you want it&mdash;it&#39;s easy to search, browse, or consult when you&rsquo;re faced with a problem you need to solve.</li> <li>This course is divided into recipes. This format has been praised by readers as being &quot;&quot;easily-digestible&quot;&quot; and &quot;&quot;self-contained.&quot;&quot; These bite-size chunks save you time and energy, and keep the necessary concepts clear</li> <li>The wide range of topics covered means the course is relevant to you no matter your capability level</li> <li>The author provides expert guidance in clear and concise prose</li> </ul> <h3>Course In Detail</h3> <strong>Angular 2 </strong>introduces an entirely new paradigm for applications, wholly embracing all the newest concepts that are built into the next generation of browsers and cutting away all the fat and bloat from Angular 1.<br /> <br /> This <strong>course</strong> plunges directly into the heart of <strong>all the most important Angular 2 concepts</strong>. Alongside the Angular 2 content, the course covers the <strong>new ES6 syntax</strong>, <strong>Typescript conventions,</strong> <strong>Web Components</strong>, and <strong>RxJS</strong> observables, among many other brand-new concepts.<br /> <br /> The second volume of <strong>this course will cover the ES6 implementation of Promises </strong>and will show you how to integrate them with Angular 2 applications.<br /> <br /> Once you&rsquo;ve built a good foundation for the new concepts of Angular 2 from the previous volume, you&rsquo;ll work with implementing RxJS observables and you&rsquo;ll understand how to use them effectively.<br /> <br /> Finally, you&rsquo;ll learn how to inject dependencies and wrap HTTP APIs with a service. These topics will help you gradually level up your knowledge and move on to the next volume of this course. https://en.tuto.com/angularjs/angular-2-solutions-intermediate-concepts-angularjs,85921.html Fri, 30 Jun 2017 11:07:40 +0200 Learning R for Data Visualization https://en.tuto.com/r/learning-r-for-data-visualization-r,86311.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/86311.jpg"/><br>Get to grips with R&rsquo;s most popular packages and functions to create interactive visualizations for the web <h2>About This Learning R for Data Visualization Video course</h2> <ul> <li>Learn how to <strong>visualize data</strong> and import/export in CSV, TXT, and Excel formats</li> <li>Develop a professionally-featured website using the best R has to offer</li> <li>Focus on demonstrating customized visualization on your website</li> </ul> <h3>R video cours In Detail</h3> <strong>R</strong> is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level graphics, and machine learning. R gives aspiring analysts and data scientists the ability to represent complex sets of data in an impressive way.<br /> <br /> The <strong>video course is structured in simple lessons</strong> so that the learning process feels like a <strong>step-by-step guide</strong> to plotting.<br /> <br /> We start by importing data in R from popular formats such as CSV and Excel tables. Then you will learn <strong>how to create basic plots </strong>such as histograms, scatterplots, and more, with the default options, which guarantees stunning results.<br /> <br /> The second part of the course is dedicated to <strong>interactive plots</strong>. Static plots, in fact, are extremely important for scientific manuscripts, but nowadays most of our work is done online on websites and blogs, where static plots do not harness the full potential of the technology. Interactive plots, on the other hand, can improve that and allow us <strong>to present our results in more appealing and informative ways</strong>, by using the native language of the web. Do not worry though, you will not need to learn an additional programming language because this course will show you <strong>how to create stunning web plots directly from R</strong>.<br /> <br /> In the final part of the course, the Shiny package will be extensively discussed. This allows you to <strong>create fully-featured web pages directly from the R console</strong>, and <strong>Shiny</strong> also allows it to be uploaded to a live website where your peers and colleagues can browse it and you can share your work. You will see how to build a complete website to import and plot data, plus we will present a method to upload it for everybody to use. Finally, you will revise all the concepts you&#39;ve learned while having some fun creating a complete website.<br /> <br /> By the end of the course, <strong>you will have an armour full of different visualization techniques</strong>, with the capacity to apply these abilities to real-world data sets. https://en.tuto.com/r/learning-r-for-data-visualization-r,86311.html Mon, 03 Jul 2017 12:07:54 +0200 Deep Learning with R https://en.tuto.com/data-science/deep-learning-with-r-data-science,86741.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/86741.jpg"/><br>Optimize <strong>Algorithms</strong> and achieve greater levels of accuracy with<strong> Deep learning</strong> <h2>About This Deep Learning R video Course</h2> <ul> <li>Explore and create intelligent systems using <strong>Deep learning techniques</strong></li> <li>Understand the usage of multiple applications like Natural Language Processing, Bioinformatics, Recommendation Engines, etc. where deep learning models are implemented</li> <li>Get hands on with various Deep Learning scenarios and get mind blowing insights from your data</li> </ul> <h2>Deep Learning course In Detail</h2> <strong>Deep learning r</strong>efers to artificial neural networks that are composed of many layers. <strong>Deep learning is a powerful set of techniques </strong>for<strong> finding accurate information from raw data</strong>.<br /> This <strong>video tutorial </strong>will teach you <strong>how to leverage deep learning to make sense of your raw data</strong> by exploring various hidden layers of data.<br /> <br /> Each section in this course provides a clear and concise introduction of a key topic, one or more example of implementations of these concepts in <strong>R</strong>, and guidance for additional learning, exploration, and application of the skills learned therein. You will start by understanding the basics of Deep Learning and Artificial neural Networks and move on to exploring advanced ANN&rsquo;s and RNN&rsquo;s. You will deep dive into Convolutional Neural Networks and Unsupervised Learning. You will also learn about the applications of Deep Learning in various fields and understand the practical implementations of Scalability, HPC and Feature Engineering.<br /> <br /> Starting out at a basic level, users will be learning <strong>how to develop and implement Deep Learning algorithms using R</strong> in real world scenarios. https://en.tuto.com/data-science/deep-learning-with-r-data-science,86741.html Mon, 03 Jul 2017 11:26:55 +0200 Julia Solutions https://en.tuto.com/julia/julia-solutions-julia,86361.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/86361.jpg"/><br>Comprehensive guide to <strong>learn data science </strong>for a <strong>Julia</strong> programmer, right from the exploratory analytics part to the visualization part <h2>About This Julia Video course</h2> <ul> <li>Follow a <strong>practical approach to learn Julia programming</strong> the easy way</li> <li>Get an <strong>extensive coverage of Julia&rsquo;s packages</strong> for <strong>statistical analysis</strong></li> <li>This video-based approach will help you <strong>get familiar with the key concepts in Julia</strong></li> </ul> <h3>Julia video tutorial In Detail</h3> Want to handle everything that <strong>Julia</strong> can throw at you and get the most of it every day? This<strong> practical guide to programming with Julia </strong>for performing numerical computation will make you more productive and able to <strong>work with data more efficiently.</strong><br /> <br /> The <strong>video course</strong> starts with the <strong>main features of Julia </strong>to help you quickly refresh your knowledge of functions, modules, and arrays. We&rsquo;ll also show you how to utilize the Julia language to identify, retrieve, and transform data sets so you can perform <strong>data analysis </strong>and <strong>data manipulation</strong>. Later on, you&rsquo;ll see <strong>how to optimize data science programs</strong> with parallel computing and memory allocation. You&rsquo;ll get familiar with the concepts of package development and networking to solve numerical problems using the Julia platform.<br /> <br /> This <strong>video course </strong>includes recipes on identifying and classifying data science problems, data modelling, data analysis, data manipulation, meta-programming, multidimensional arrays, and parallel computing. By the end of the course, you will acquire the skills to<strong> work more effectively with your data</strong>. https://en.tuto.com/julia/julia-solutions-julia,86361.html Mon, 03 Jul 2017 14:19:31 +0200 Learning Python Data Analysis https://en.tuto.com/python/learning-python-data-analysis-python,86981.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/86981.jpg"/><br>Analyze and understand your data with the power and simplicity of <strong>Python.</strong> <h2>About This Learning Python Data Analysis Video course</h2> <ul> <li><strong>Learn Data Analysis</strong> using modern processing techniques with Numpy, SciPy, and Pandas</li> <li>Apply Natural Language Algorithms other Machine Learning Algorithms to provide unique and interesting insights</li> <li>Present Insights quickly and cleanly through the use of a Dashboard Application</li> </ul> <h3>Learning Python Data Analysis In Detail</h3> <strong>Python</strong> features numerous numerical and mathematical toolkits such as: Numpy, Scipy, Scikit learn and SciKit, all used for <strong>data analysis</strong> and <strong>machine learning</strong>. With the aid of all of these, <strong>Python</strong> has become <strong>the language of choice for data scientists</strong> for data analysis, visualization, and machine learning.<br /> <br /> This <strong>video training</strong> aims to <strong>teach Python developers how to perform data analysis </strong>with the language by taking advantage of the core data science libraries in the Python ecosystem. The learning objective for viewers is to understand how to locate, manipulate, and <strong>analyse data with Python</strong>, with the ability to analyse large and small sets of data using libraries such as Numpy, pandas, IPython and SciPy.<br /> This is a two part series. The first series is focused on getting and manipulation sizeable amounts of data using modern techniques. The second series is focused on advanced analysis of the data to include modern machine learning techniques. https://en.tuto.com/python/learning-python-data-analysis-python,86981.html Mon, 03 Jul 2017 15:07:27 +0200 Python Machine Learning - Part 1 https://en.tuto.com/python/python-machine-learning-part-1-python,87061.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/87061.jpg"/><br>Unlock deeper insights into <strong>Machine Leaning </strong>with this vital guide to cutting-edge <strong>predictive analytics</strong> <h2>About This Python Machine Learning Video course</h2> <ul> <li>Leverage <strong>Python</strong>&rsquo;s most powerful open source libraries for <strong>deep learning</strong>, <strong>data wrangling</strong>, and <strong>data visualization</strong></li> <li>Get to know effective strategies and<strong> best practices to improve and optimize machine learning systems</strong> and algorithms</li> <li>Ask&mdash;and answer&mdash; tough questions of your data with robust statistical models, built for a range of datasets</li> </ul> <h3>Python Machine Learning in detail</h3> <strong>Machine learning </strong>and <strong>predictive analytics</strong> are transforming the way that businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, and is becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. <strong>Python</strong> can help you deliver key insights into your data. Its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success.<br /> <br /> This <strong>video course</strong> gives you access to the world of predictive analytics and demonstrates why<strong> Python is one of the world&rsquo;s leading data science languages</strong>. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science courseis invaluable. It coversa wide range of powerful Python libraries, including scikit-learn, <strong>Theano</strong>, and <strong>Keras</strong>, and features guidance and tips on everything from sentiment analysis to neural networks.<br /> <br /> With this video,you&rsquo;ll soon be able to answer some of the most important questions facing you and your organization. https://en.tuto.com/python/python-machine-learning-part-1-python,87061.html Mon, 03 Jul 2017 15:53:05 +0200 Learning ElasticSearch 5.0 https://en.tuto.com/elastic/learning-elasticsearch-5-0-elastic,87011.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/87011.jpg"/><br>Store, search, and analyze your data with ease using <strong>ElasticSearch 5.0</strong> <h2>About This Learning Elastic Search Video Course</h2> <ul> <li>Get the basics of ElasticSearch concepts, APIs and best use cases</li> <li>Create large-scale ElasticSearch clusters and build analytics using aggregation</li> <li>Implement Elastic Search 5.0 in the logstash Apache web log analysis.</li> </ul> <h3>Learn Elastic Search In Detail</h3> This <strong>video course</strong> is a <strong>step-by-step guide</strong> to <strong>using Elasticsearch</strong> in combination with the rest of the ELK stack (now called Elastic Stack) to <strong>ship</strong>, <strong>parse</strong>, <strong>store</strong>, and <strong>analyze logs</strong>.<br /> <br /> You&rsquo;ll start this course by getting an understanding of what <strong>ElasticSearch</strong> is, what it&rsquo;s used for, and why it&rsquo;s important. Then, you&rsquo;ll be introduced to <strong>the new features in ElasticSearch 5.0.</strong> We&rsquo;ll go through <strong>each of the fundamental concepts of ElasticSearch</strong> such as queries, indices, and aggregation.<br /> <br /> You&rsquo;ll find out how to <strong>add more power to your searches using filters</strong>, <strong>ranges</strong>, and more. You&rsquo;ll also see how ElasticSearch can be used with the other components of the Elastic Stack such as <em>LogStash</em>, <em>Kibana</em>, and <em>Beats</em>. Finally, we&rsquo;ll take a walk through getting ElasticSearch up and running on the popular <em>Logstash</em> <strong>Apache web log analysis</strong>.<br /> <br /> Finally, we&rsquo;ll build, test and run our first Logstash pipeline to analyze Apache web logs. This step combines all the understanding of ElasticSearch, Logstash, Kibana and the lightweight data shipper FileBeat that we acquired from previous sections.<br /> <br /> By the end of this course, you will have a firm <strong>understanding of all the fundamentals of ElasticSearch 5.0,</strong> along with knowledge of practical real world usage. https://en.tuto.com/elastic/learning-elasticsearch-5-0-elastic,87011.html Mon, 03 Jul 2017 15:41:54 +0200 JavaScript Design Patterns: 20 Patterns for Advancing Your JavaScript Skills https://en.tuto.com/javascript/javascript-design-patterns-20-patterns-for-advancing-your-javascript-skills-javascript,86031.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/86031.jpg"/><br>Dive deep into <strong>JavaScript design patterns</strong> to write intelligent, pragmatic code for a wide array of real-world programming situations <h2>About This JavasScript Design Patterns video course</h2> <ul> <li>A deep exploration of <strong>20 JavaScript design patterns</strong></li> <li>Understand how to adopt and apply design patterns to a wide range of real world development scenarios</li> <li>Definitive coverage of the Creational, Structural, and Behavioral pattern types</li> <li>Take your JavaScript programming to an advanced level by understanding design patterns in depth.</li> </ul> <h3>Training In Detail</h3> <strong>Design patterns are intelligent, reusable strategies for solving common development problems faced by developers</strong>.<br /> <br /> For Web developers working with JavaScript, design patterns provide a tested, methodical plan of attack for tackling challenges that arise in real-world application development.<br /> <br /> JavaScript Design Patterns 20 Patterns for Advancing Your JavaScript Skills will immerse you in the world of intelligent JavaScript programming, demonstrating to Web developers how to mobilize design patterns and presenting key programming concepts and common solutions to frequently occurring programming problems.<br /> Exploring 20 different design patterns, this video course demonstrates the internal logic of each, while providing examples and real-world scenarios that developers can adopt and implement when programming in JavaScript.<br /> <br /> The course opens by introducing the conceptual logic behind design patterns: what they are; what they are not; what makes a pattern; major pattern types; and what role they play in the bigger picture of Web development. We then dive straight into a real-world case study, building a mock application with in-built issues that design patterns can solve.<br /> <br /> Following on from this introduction, the course quickly expands into exploring the core design patterns underlying the major pattern types: Creational, Structural, and Behavioral patterns. With the knowledge delivered throughout the course, developers will come away from JavaScript Design Patterns 20 Patterns for Advancing Your JavaScript Skills armed with a powerful arsenal for solving a wide array of different JavaScript programming problems. https://en.tuto.com/javascript/javascript-design-patterns-20-patterns-for-advancing-your-javascript-skills-javascript,86031.html Fri, 30 Jun 2017 10:38:43 +0200 The Complete Guide to Node.js https://en.tuto.com/node-js/the-complete-guide-to-node-js-node-js,85901.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/85901.jpg"/><br>Learn everything you need to about <strong>Node.js</strong> <h2>About this Node.JS video training</h2> <ul> <li>Understand how modules work in Node.js</li> <li>Learn asynchronous programming</li> <li>Learn Node.js paradigms</li> </ul> <h3>Course in detail</h3> We will be covering <strong>how to use Node.js to build websites</strong>. This <strong>course</strong> will focus primarily on Express as the framework that the website will be built in. In addition to <strong>Express</strong>, we will cover using <strong>Redis</strong> and<strong> Socket.io </strong>to make more <strong>robust and dynamic sites</strong>. Many courses only focus on one of these, but this course will cover all of them.<br /> <br /> By the end of this course <strong>the reader will be able to build applications using Express, Redis, and Socket.io</strong>. <ul> <li>Express helps by making full featured web applications easy, if you know how.</li> <li>Redis opens doors by making data quick and easy to fetch. Many sites have used Redis to make difficult data problems easy. Lastly</li> <li>Socket.io makes two way communication between the browser and web application easy. If you have every needed to build something that was real-time than Socket.io is what you want to use.</li> </ul> https://en.tuto.com/node-js/the-complete-guide-to-node-js-node-js,85901.html Fri, 30 Jun 2017 10:58:45 +0200 Learning Data Analysis with R https://en.tuto.com/data-science/learning-data-analysis-with-r-data-science,86961.html <img src="http://en-images.tuto.net/tuto/thumb/450/220/86961.jpg"/><br>Find, process, <strong>analyze</strong>, <strong>manipulate</strong>, and <strong>crunch data in R</strong> <h2>About This Learning Data Analysis with R Video course</h2> <ul> <li>Harness the power of Open Data to propel your career or business to a new level</li> <li>Manipulate and analyze small and large sets of <strong>data with R</strong></li> <li><strong>Practice with real world examples of Data Analysis</strong> and build a strong foundation for moving into Data Science</li> </ul> <h3>Data Analysis Course In Detail</h3> <strong>R is a programming language</strong> and software environment for <strong>statistical computing</strong> and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.<br /> <br /> This <strong>video course</strong> delivers viewers the ability to <strong>conduct data analysis </strong>in practical contexts with R, using core language packages and tools. The end goal is to <strong>provide analysts and data scientists a comprehensive learning course on how to manipulate and analyse small and large sets of data with R</strong>. It will introduce how CRAN works and will demonstrate why viewers should use them.<br /> You will start with the most basic importing techniques, to downloading compressed data from the web and learn of more advanced ways to handle even the most difficult datasets to import. Next, you will move on to create static plots, while the second will show how to plot spatial data on interactive web platforms such as Google Maps and Open Street maps. Finally, you will learn to implement your learning with real-world examples of data analysis.<br /> <br /> This <strong>video training</strong> will lay the foundations for deeper applications of data analysis, and pave the way for advanced data science. https://en.tuto.com/data-science/learning-data-analysis-with-r-data-science,86961.html Mon, 03 Jul 2017 11:48:02 +0200