F# for Machine Learning Essentials

F# for Machine Learning Essentials


Key Features

  • Design algorithms in F# to take on complicated computing problems
  • Be a educated F# information scientist utilizing this simple-to-follow guide
  • Solve real-world, data-related issues of strong statistical versions, equipped for various datasets

Book Description

The F# practical programming language permits builders to jot down uncomplicated code to resolve advanced difficulties. With F#, builders create constant and predictable courses which are more uncomplicated to check and reuse, easier to parallelize, and are much less at risk of bugs.

If you must the best way to use F# to construct desktop studying platforms, then this is often the booklet you want.

Starting with an creation to the various different types on laptop studying, you are going to speedy discover ways to enforce time-tested, supervised studying algorithms. you are going to progressively flow directly to fixing difficulties on predicting housing pricing utilizing Regression research. you are going to then discover ways to use Accord.NET to enforce SVM options and clustering. additionally, you will learn how to construct a recommender procedure to your e-commerce website from scratch. ultimately, you are going to dive into complex issues resembling enforcing neural community algorithms whereas appearing sentiment research in your data.

What you are going to learn

  • Use F# to discover styles via uncooked data
  • Build a collection of category structures utilizing Accord.NET, Weka, and F#
  • Run desktop studying jobs at the Cloud with MBrace
  • Perform mathematical operations on matrices and vectors utilizing Math.NET
  • Use a recommender method in your personal challenge domain
  • Identify vacationer spots around the globe utilizing inputs from the consumer with selection tree algorithms

About the Author

Sudipta Mukherjee used to be born in Kolkata and migrated to Bangalore. he's an electronics engineer by way of schooling and a working laptop or computer engineer/scientist by means of occupation and keenness. He graduated in 2004 with a level in electronics and conversation engineering.

He has a willing curiosity in facts constitution, algorithms, textual content processing, usual language processing instruments improvement, programming languages, and computing device studying at huge. His first e-book on information constitution utilizing C has been acquired really good. elements of the booklet should be learn on Google Books at http://goo.gl/pttSh. The ebook was once additionally translated into simplified chinese language, to be had from Amazon.cn at http://goo.gl/lc536. this can be Sudipta's moment e-book with Packt Publishing. His first booklet, .NET 4.0 Generics (http://goo.gl/MN18ce), was once additionally obtained rather well. over the past few years, he has been hooked to the useful programming sort. His publication on sensible programming, considering in LINQ (http://goo.gl/hm0lNF), used to be published final yr. final 12 months, he additionally gave a conversation at @FuConf in keeping with his LINQ e-book (https://goo.gl/umdxIX). He lives in Bangalore together with his spouse and son.

Sudipta might be reached through electronic mail at sudipto80@yahoo.com and through Twitter at @samthecoder.

Table of Contents

  1. Introduction to desktop Learning
  2. Linear Regression
  3. Classification Techniques
  4. Information Retrieval
  5. Collaborative Filtering
  6. Sentiment Analysis
  7. Anomaly Detection

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