Read F# for Machine Learning

[PDF.4yqm] F# for Machine Learning

[PDF.4yqm] F# for Machine Learning

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Key FeaturesDesign algorithms in F to tackle complex computing problemsBe a proficient F data scientist using this simple-to-follow guideSolve real-world, data-related problems with robust statistical models, built for a range of datasetsBook DescriptionThe 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.If you want to learn how to use F to build machine learning systems, then this is the book you want.Starting 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.What you will learnUse F to find patterns through raw dataBuild a set of classification systems using Accord.NET, Weka, and FRun machine learning jobs on the Cloud with MBracePerform mathematical operations on matrices and vectors using Math.NETUse a recommender system for your own problem domainIdentify tourist spots across the globe using inputs from the user with decision tree algorithmsAbout the AuthorSudipta Mukherjee was born in Kolkata and migrated to Bangalore. He is an electronics engineer by education and a computer engineer/scientist by profession and passion. He graduated in 2004 with a degree in electronics and communication engineering.He has a keen interest in data structure, algorithms, text processing, natural language processing tools development, programming languages, and machine learning at large. His first book on Data Structure using C has been received quite well. Parts of the book can be read on Google Books at http://goo.gl/pttSh. The book was also translated into simplified Chinese, available from Amazon.cn at http://goo.gl/lc536. This is Sudipta's second book with Packt Publishing. His first book, .NET 4.0 Generics (http://goo.gl/MN18ce), was also received very well. During the last few years, he has been hooked to the functional programming style. His book on functional programming, Thinking in LINQ (http://goo.gl/hm0lNF), was released last year. Last year, he also gave a talk at @FuConf based on his LINQ book (https://goo.gl/umdxIX). He lives in Bangalore with his wife and son.Sudipta can be reached via e-mail at sudipto80@yahoo.com and via Twitter at @samthecoder.Table of ContentsIntroduction to Machine LearningLinear RegressionClassification TechniquesInformation RetrievalCollaborative FilteringSentiment AnalysisAnomaly Detection Guide - Machine Learning The F Software Foundation F is well-suited to machine learning because of its efficient execution succinct style data access capabilities and scalability F has been successfully used by F for Machine Learning - PDF Free Download - Fox eBook F for Machine Learning PDF Free Download Reviews Read Online ISBN: 1783989343 By Sudipta Mukherjee F for Machine Learning Essentials PACKT Books Get up and running with machine learning with F in a fun and functional way F for Machine Learning - Packt Publishing Why F ? Geared for Scientific Programming Very active community Ubiquitous availability get more done for less typing d Computers everywhere Clustering F for Machine Learning a Gentle Introduction and Coding If youre in the Bay Area dont miss F for Machine Learning a Gentle Introduction and Coding Dojo on Tuesday May 14 at 6:00pm Machine Learning F for Machine Learning - F for Machine Learning [Sudipta Mukherjee] on *FREE* shipping on qualifying offers Key Features Design algorithms in F to tackle complex F for Machine Learning - Free Tech PDF eBook Library F for Machine Learning by Sudipta Mukherjee Year: 2016 Pages: 194 ISBN: 978-1-78398-934-8 1783989343 Description *** Key Features *** * Design algorithms in F The F Software Foundation - F Sharp The F Software Foundation members actively seek to encourage and facilitate community operated F related meetups F for Data and Machine Learning net - Resources for working with Machine Learning in F I have learned a Machine Learning course using Matlab as a prototyping tool Since I got addicted to F I would like to continue my Machine Learning study Setting up F Interactive for Machine Learning with Large Before getting started with Machine Learning in F Interactive its best to prepare it for large datasets and external 64-bit libraries so you dont get
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