Hands-On Data Science and Python Machine Learning

相似文件 换一批

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

English | 31 July 2017 | ISBN: 1787280748 | ASIN: B072QBVXGH | 420 Pages | AZW3 | 7.21 MB


Key Features

Take your first steps in the world of data science by understanding the tools and techniques of data analysis
Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods
Learn how to use Apache Spark for processing Big Data efficiently

Book Description

Join Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them.

Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn   how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis.

What you will learn

Learn how to clean your data and ready it for analysis
Implement the popular clustering and regression methods in Python
Train efficient machine learning models using decision trees and random forests
Visualize the results of your analysis using Python's Matplotlib library
Use Apache Spark's MLlib package to perform machine learning on large datasets

About the Author

My name is Frank Kane. I spent nine years at Amazon and IMDb, wrangling millions of customer ratings and customer transactions to produce things such as personalized recommendations for movies and products and "people who bought this also bought." I tell you, I wish we had Apache Spark back then, when I spent years trying to solve these problems there. I hold 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, I left to start my own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

Table of Contents

Getting Started
Statistics and Probability Refresher and Python Practice
Matplotlib and Advanced Probability Concepts
Predictive Models
Machine Learning with Python
Recommender Systems
More Data Mining and Machine Learning Techniques
Dealing with Real-World Data
Apache Spark: Machine Learning on Big Data
Testing and Experimental Design

本帖隐藏的内容

Hands-On Data Science and Python Machine Learning py2.rar (5.6 MB, 需要: 10 个论坛币) 本附件包括：

• Hands-On Data Science and Python Machine Learning py2.azw3

2017-8-15 21:52:09 上传

需要: 10 个论坛币  [购买]

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏10 回帖

关键词：Data Science Learning machine earning Science

楼主好人，谢谢分享

Thanks for sharing!

thanks for sharing

thanks

谢谢楼主分享！