The Addison-Wesley Data and Analytics Series

The Addison-Wesley Data and Analytics Series provides readers with practical knowledge for solving problems and answering questions with data. Titles in the series will tackle three primary areas of focus:

1)    Infrastructure: how to store, move, and manage data
2)    Algorithms: how to mine intelligence or make predictions based on data
3)    Visualizations: how to represent data and insights in a meaningful and compelling way

The series aims to tie all three of these areas together to help the reader build end-to-end systems for fighting spam; making recommendations; building personalization; detecting trends, patterns, or problems; and gaining insight from the data exhaust of systems and user interactions.

 

Books, eBooks, and Video Training

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference
Pandas for Everyone: Python Data Analysis
R for Everyone: Advanced Analytics and Graphics, Second Edition
Practical Cassandra: A Developer's Approach to Cassandra
Data Just Right: Practical Big Data Analytics
Visual Storytelling with D3: An Introduction to Data Visualization in JavaScript
Visual Data Storytelling with Tableau
Data Analytics with Spark Using Python
Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale
Apache Hadoop YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop 2
Hadoop 2 Quick-Start Guide: Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem
Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS
Pragmatic AI: An Introduction to Cloud-Based Machine Learning
Deep Learning with TensorFlow LiveLessons: Applications of Deep Neural Networks to Machine Learning Tasks
Deep Learning for Natural Language Processing LiveLessons: Applications of Deep Neural Networks to Machine Learning Tasks
Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS
Working with Big Data LiveLessons (Video Training): Infrastructure, Algorithms, and Visualizations
Hadoop Fundamentals LiveLessons (Video Training)
R Programming LiveLessons, 2nd Edition
Fundamentals of Data Analytics in Python LiveLessons (Video Training)
Data Just Right LiveLessons
Apache Hadoop YARN LiveLessons (Video Training)
Advanced R LiveLessons, Part I: Tools for Greater Productivity and Machine Learning
Building Spark Applications LiveLessons
Hadoop and Spark Fundamentals LiveLessons
Pandas Data Analysis with Python Fundamentals LiveLessons
Pandas Data Cleaning and Modeling with Python LiveLessons
Using Jupyter Notebooks for Data Science Analysis in Python LiveLessons

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