F# for Machine Learning Essentials(Paperback)

Sudipta Mukherjee

  • 出版商: Packt Publishing
  • 出版日期: 2016-02-25
  • 售價: $1,760
  • 貴賓價: 9.5$1,672
  • 語言: 英文
  • 頁數: 194
  • 裝訂: Paperback
  • ISBN: 1783989343
  • ISBN-13: 9781783989348
  • 相關分類: F#Machine Learning
  • 海外代購書籍(需單獨結帳)
    無現貨庫存(No stock available)

相關主題

商品描述

Key Features

  • Design algorithms in F# to tackle complex computing problems
  • Be a proficient F# data scientist using this simple-to-follow guide
  • Solve real-world, data-related problems with robust statistical models, built for a range of datasets

Book Description

The 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 learn

  • Use F# to find patterns through raw data
  • Build a set of classification systems using Accord.NET, Weka, and F#
  • Run machine learning jobs on the Cloud with MBrace
  • Perform mathematical operations on matrices and vectors using Math.NET
  • Use a recommender system for your own problem domain
  • Identify tourist spots across the globe using inputs from the user with decision tree algorithms

About the Author

Sudipta 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 Contents

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

商品描述(中文翻譯)

主要特點


  • 使用F#設計算法來解決複雜的計算問題

  • 成為一位熟練的F#數據科學家,使用這本易於理解的指南

  • 使用強大的統計模型解決現實世界中與數據相關的問題,適用於各種數據集

書籍描述

F#函數式編程語言使開發人員能夠編寫簡單的代碼來解決複雜的問題。使用F#,開發人員可以創建一致且可預測的程序,這些程序更容易進行測試和重用,更容易進行並行處理,並且更不容易出現錯誤。

如果您想學習如何使用F#構建機器學習系統,那麼這本書就是您需要的。

從介紹機器學習的幾個類別開始,您將迅速學習實現經過時間驗證的監督學習算法。然後,您將逐步解決使用回歸分析預測房價的問題。接著,您將學習使用Accord.NET實現支持向量機技術和聚類。您還將學習從頭開始構建電子商務網站的推薦系統。最後,您將深入研究高級主題,例如在執行情感分析時實現神經網絡算法。

您將學到什麼


  • 使用F#從原始數據中找到模式

  • 使用Accord.NET、Weka和F#構建一組分類系統

  • 使用MBrace在雲端上運行機器學習任務

  • 使用Math.NET對矩陣和向量進行數學運算

  • 為您自己的問題領域使用推薦系統

  • 使用決策樹算法根據用戶輸入識別全球旅遊景點

關於作者

Sudipta Mukherjee出生於加爾各答,移居班加羅爾。他是一位電子工程師,教育背景和職業熱情使他成為一位計算機工程師/科學家。他於2004年畢業,獲得電子與通信工程學位。

他對數據結構、算法、文本處理、自然語言處理工具開發、編程語言和機器學習等方面有濃厚的興趣。他的第一本關於使用C語言的數據結構的書獲得了很好的評價。該書的部分內容可以在Google圖書上閱讀,網址為http://goo.gl/pttSh。該書還被翻譯成簡體中文,可以在亞馬遜中國網站上購買,網址為http://goo.gl/lc536。這是Sudipta與Packt Publishing合作的第二本書。他的第一本書《.NET 4.0泛型》(http://goo.gl/MN18ce)也受到了很好的評價。在過去的幾年中,他一直對函數式編程風格著迷。他去年出版了一本關於函數式編程的書《Thinking in LINQ》(http://goo.gl/hm0lNF)。去年,他還在@FuConf上發表了一個基於他的LINQ書籍的演講(https://goo.gl/umdxIX)。他與妻子和兒子住在班加羅爾。

您可以通過電子郵件sudipto80@yahoo.com或Twitter@samthecoder與Sudipta聯繫。

目錄


  1. 機器學習簡介

  2. 線性回歸

  3. 分類技術

  4. 信息檢索

  5. 協同過濾

  6. 情感分析

  7. 異常檢測