جزییات کتاب
A definitive guide to creating an intelligent web application with the best of machine learning and JavaScriptKey FeaturesSolve complex computational problems in browser with JavaScriptTeach your browser how to learn from rules using the power of machine learningUnderstand discoveries on web interface and API in machine learningBook DescriptionIn over 20 years of existence, JavaScript has been pushing beyond the boundaries of web evolution with proven existence on servers, embedded devices, Smart TVs, IoT, Smart Cars, and more. Today, with the added advantage of machine learning research and support for JS libraries, JavaScript makes your browsers smarter than ever with the ability to learn patterns and reproduce them to become a part of innovative products and applications.Hands-on Machine Learning with JavaScript presents various avenues of machine learning in a practical and objective way, and helps implement them using the JavaScript language. Predicting behaviors, analyzing feelings, grouping data, and building neural models are some of the skills you will build from this book. You will learn how to train your machine learning models and work with different kinds of data. During this journey, you will come across use cases such as face detection, spam filtering, recommendation systems, character recognition, and more. Moreover, you will learn how to work with deep neural networks and guide your applications to gain insights from data.By the end of this book, you'll have gained hands-on knowledge on evaluating and implementing the right model, along with choosing from different JS libraries, such as NaturalNode, brain, harthur, classifier, and many more to design smarter applications.What you will learnGet an overview of state-of-the-art machine learningUnderstand the pre-processing of data handling, cleaning, and preparationLearn Mining and Pattern Extraction with JavaScriptBuild your own model for classification, clustering, and predictionIdentify the most appropriate model for each type of problemApply machine learning techniques to real-world applicationsLearn how JavaScript can be a powerful language for machine learningWho This Book Is ForThis book is for you if you are a JavaScript developer who wants to implement machine learning to make applications smarter, gain insightful information from the data, and enter the field of machine learning without switching to another language. Working knowledge of JavaScript language is expected to get the most out of the book.Table of ContentsExploring the potential of JavascriptData ExplorationTour of machine learning algorithmsGrouping with Clustering AlgorithmsIdentify patterns with Classification AlgorithmsApplying Association Rule AlgorithmsForecast with Regression AlgorithmsArtificial Neural Network AlgorithmsDeep Neural NetworkNatural Language Processing in practiceUsing Machine Learning on javascript Real-time applicationsChoosing the best algorithm for your application
درباره نویسنده
جان کلایتون مایر (به انگلیسی: John Clayton Mayer) خواننده، ترانهنویس و تهیهکنندهٔ آمریکایی است. او در بریجپورت، کنتیکت به دنیا آمد و در فیرفیلد، کنتیکت بزرگ شد.