Machine Learning for the Web

Andrea Isoni

Machine Learning for the Web
  • 出版商: Packt Publishing
  • 出版日期: 2016-07-29
  • 售價: $2,040
  • 貴賓價: 9.5 折 $1,938
  • 語言: 英文
  • 頁數: 298
  • 裝訂: Paperback
  • ISBN: 1785886606
  • ISBN-13: 9781785886607
  • 相關分類: Machine Learning
  • 相關翻譯: 機器學習Web應用 (簡中版)

    • 下單後立即進貨 (約3~4週)

商品描述

Key Features

  • Targets two big and prominent markets where sophisticated web apps are of need and importance.
  • Practical examples of building machine learning web application, which are easy to follow and replicate.
  • A comprehensive tutorial on Python libraries and frameworks to get you up and started.

Book Description

Python is a general purpose and also a comparatively easy to learn programming language. Hence it is the language of choice for data scientists to prototype, visualize, and run data analyses on small and medium-sized data sets. This is a unique book that helps bridge the gap between machine learning and web development. It focuses on the difficulties of implementing predictive analytics in web applications. We focus on the Python language, frameworks, tools, and libraries, showing you how to build a machine learning system. You will explore the core machine learning concepts and then develop and deploy the data into a web application using the Django framework. You will also learn to carry out web, document, and server mining tasks, and build recommendation engines. Later, you will explore Python’s impressive Django framework and will find out how to build a modern simple web app with machine learning features.

What you will learn

  • Get familiar with the fundamental concepts and some of the jargons used in the machine learning community
  • Use tools and techniques to mine data from websites
  • Grasp the core concepts of Django framework
  • Get to know the most useful clustering and classification techniques and implement them in Python
  • Acquire all the necessary knowledge to build a web application with Django
  • Successfully build and deploy a movie recommendation system application using the Django framework in Python

About the Author

Andrea Isoni is a data scientist, PhD, and physicist professional with extensive experience in software developer positions. He has an extensive knowledge of machine learning algorithms and techniques. He also has experience with multiple languages, such as Python, C/C++, Java, JavaScript, C#, SQL, HTML, and Hadoop.

Table of Contents

  1. Introduction to Practical Machine Learning Using Python
  2. Unsupervised Machine Learning
  3. Supervised Machine Learning
  4. Web Mining Techniques
  5. Recommendation Systems
  6. Getting Started with Django
  7. Movie Recommendation System Web Application
  8. Sentiment Analyser Application for Movie Reviews

商品描述(中文翻譯)

主要特點



  • 針對兩個重要的市場，這些市場需要並重視複雜的網頁應用程式。

  • 提供易於跟隨和複製的建立機器學習網頁應用程式的實用範例。

  • 全面教授Python的函式庫和框架，讓您能夠快速上手。

書籍描述


Python是一種通用且相對容易學習的程式語言。因此，對於資料科學家來說，它是原型、視覺化和運行小型和中型資料集上的資料分析的首選語言。這本獨特的書籍幫助彌合機器學習和網頁開發之間的差距。它專注於在網頁應用程式中實現預測分析的困難之處。我們專注於Python語言、框架、工具和函式庫，向您展示如何建立一個機器學習系統。您將探索核心機器學習概念，然後使用Django框架將數據開發並部署到網頁應用程式中。您還將學習進行網頁、文件和伺服器挖掘任務，並建立推薦引擎。隨後，您將探索Python強大的Django框架，並了解如何使用機器學習功能建立一個現代簡單的網頁應用程式。

您將學到什麼



  • 熟悉機器學習社群中的基本概念和術語

  • 使用工具和技術從網站中挖掘數據

  • 掌握Django框架的核心概念

  • 了解最有用的分群和分類技術，並在Python中實現它們

  • 獲得構建具有Django的網頁應用程式所需的所有知識

  • 使用Python的Django框架成功構建和部署電影推薦系統應用程式

關於作者


Andrea Isoni是一位資料科學家、擁有博士學位的物理學專業人士，擁有豐富的軟體開發人員職位經驗。他對機器學習演算法和技術有深入的了解。他還具有多種語言的經驗，例如Python、C/C++、Java、JavaScript、C#、SQL、HTML和Hadoop。

目錄



  1. 實用Python機器學習介紹

  2. 非監督式機器學習

  3. 監督式機器學習

  4. 網頁挖掘技術

  5. 推薦系統

  6. 開始使用Django

  7. 電影推薦系統網頁應用程式

  8. 用於電影評論的情感分析應用程式

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