{"product_id":"9781783989355","title":"F# for Machine Learning Essentials","description":"\u003cp\u003e\u003cb\u003eGet up and running with machine learning with F# in a fun and functional way\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout This Book\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDesign algorithms in F# to tackle complex computing problems\u003c\/li\u003e\n\u003cli\u003eBe a proficient F# data scientist using this simple-to-follow guide\u003c\/li\u003e\n\u003cli\u003eSolve real-world, data-related problems with robust statistical models, built for a range of datasets\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cp\u003eIf you are a C# or an F# developer who now wants to explore the area of machine learning, then this book is for you. Familiarity with theoretical concepts and notation of mathematics and statistics would be an added advantage.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUse F# to find patterns through raw data\u003c\/li\u003e\n\u003cli\u003eBuild a set of classification systems using Accord.NET, Weka, and F#\u003c\/li\u003e\n\u003cli\u003eRun machine learning jobs on the Cloud with MBrace\u003c\/li\u003e\n\u003cli\u003ePerform mathematical operations on matrices and vectors using Math.NET\u003c\/li\u003e\n\u003cli\u003eUse a recommender system for your own problem domain\u003c\/li\u003e\n\u003cli\u003eIdentify tourist spots across the globe using inputs from the user with decision tree algorithms\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eIn Detail\u003c\/b\u003e\u003cp\u003eThe F# functional programming language enables developers to write simple code to solve complex problems. With F#, developers create consistent and predictable programs that are easier to test and reuse, simpler to parallelize, and are less prone to bugs.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIf you want to learn how to use F# to build machine learning systems, then this is the book you want.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eStarting with an introduction to the several categories on machine learning, you will quickly learn to implement time-tested, supervised learning algorithms. You will gradually move on to solving problems on predicting housing pricing using Regression Analysis. You will then learn to use Accord.NET to implement SVM techniques and clustering. You will also learn to build a recommender system for your e-commerce site from scratch. Finally, you will dive into advanced topics such as implementing neural network algorithms while performing sentiment analysis on your data.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStyle and approach\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThis book is a fast-paced tutorial guide that uses hands-on examples to explain real-world applications of machine learning. Using practical examples, the book will explore several machine learning techniques and also describe how you can use F# to build machine learning systems.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":47172492230896,"sku":"9781783989355","price":31.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781783989355_p0.jpg?v=1763726154","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781783989355","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}