Data Mining
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A Technical Analysis of the SQL Machine Learning Library MADlib
Tsinghua University Press · 2019
A Technical Analysis of the SQL Machine Learning Library MADlib, written by Wang Xueying and published by Tsinghua University Press in February 2019, …
Parallel Data Mining and Performance Optimization: Association Rules and Data Correlation Analysis
Publishing House of Electronics Industry · 2019
Big data has enabled every industry to rapidly accumulate massive datasets, yet the situation of rich information but poor knowledge persists. Bridgin…
Learning Python Data Analysis and Mining from Scratch
Tsinghua University Press · 2018
This is a hands-on tutorial on Python data analysis and mining for readers with no prior background, using Python 3 as its main tool (the second editi…
Python Data Analysis and Data-Driven Operations (2nd Edition)
China Machine Press · 2019
This is the second edition of Python Data Analysis and Data-Driven Operations, written by big data technology expert Song Tianlong and published by Ch…
R for Web Analytics
China Machine Press · 2014
Published by China Machine Press in 2014 and written by Li Ming, R for Web Analytics is a technical monograph in the Data Analytics Technology Series,…
Python Financial Big Data Mining and Analysis: A Complete Workflow
China Machine Press · 2019
Financial professionals deal with massive amounts of data every day, and how to mine the needed information from that data and analyze it accordingly …
Big Data in Practice: A Detailed Guide to MATLAB Data Mining and Its Applications
Tsinghua University Press · 2017
This book is a hands-on MATLAB data mining tutorial aimed at real-world application scenarios. Starting from the data selection, cleaning, and mining …
Python for Data Science: A Technical Deep Dive with Business Practice
China Machine Press · 2018
Python data science books on the market roughly fall into two categories: one leans toward language instruction and ends once the syntax is covered; t…
R Language Data Analysis and Mining in Practice
China Machine Press · 2015
This book is one volume in China Machine Press's Big Data Technology Series, co-authored by Zhang Liangjun, Yun Weibiao, Wang Lu, and Liu Xiaoyong, fi…
Spark MLlib Machine Learning in Practice (2nd Edition)
Tsinghua University Press · 2017
This is the second edition of Spark MLlib Machine Learning in Practice. The book has 13 chapters and is organized around MLlib, the machine learning l…
Augmented Analytics: AI-Driven Data Analysis, Business Decision-Making, and Case Studies
China Machine Press · 2019
Augmented Analytics: AI-Driven Data Analysis, Business Decision-Making, and Case Studies was co-written by three veteran data science practitioners—Pe…
O'Reilly Premium Book Series (21 Volumes)
China Machine Press
This is an ebook collection compiled from titles in the O'Reilly Premium Book Series published by China Machine Press, comprising 21 computer technolo…
Research on Complex Data Analysis Methods and Their Applications
Beijing Institute of Technology Press · 2013
This is a typical "small volume, hard content" methodological academic monograph: only 131 pages, yet it quite completely organizes the three main thr…
Recommender Systems in Practice
Posts & Telecom Press · 2012
In an age of information overload, users struggle to find what truly interests them among vast amounts of content, while content producers struggle to…
Big Data Mining and Statistical Machine Learning
China Renmin University Press · 2016
This book is a textbook for professional master's students in applied statistics and data analysis practitioners, systematically surveying the most co…
Learning Big Data Mining the Easy Way: Algorithms, Scenarios, and Data Products
Publishing House of Electronics Industry · 2018
This book is an introductory guide for beginners in big data mining. Drawing on his own hands-on experience in data mining and data products in the in…
ECharts Data Visualization: Getting Started, Hands-On Practice, and Advanced Techniques
China Machine Press · 2020
ECharts Data Visualization: Getting Started, Hands-On Practice, and Advanced Techniques is a hands-on ECharts manual by Wang Dawei, written from the a…
Machine Learning in Practice: Deep Applications in Medical Big Data
China Machine Press · 2018
Written by Hong Song Lin, a Canadian data mining and machine learning expert, this book is part of China Machine Press's "Intelligent Systems and Tech…
Building Machine Learning Systems with Python
Posts & Telecom Press · 2014
Building Machine Learning Systems with Python, by Willi Richert and Luis Pedro Coelho, translated by Liu Feng, was published by Posts & Telecom Press …
Collective Intelligence Programming
Publishing House of Electronics Industry · 2015
Originally published as Programming Collective Intelligence, this is one of the earlier classic introductory books that teaches machine learning and d…