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:
- Infrastructure: how to store, move, and manage data
- Algorithms: how to mine intelligence or make predictions based on data
- 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.
For video courses and training, please visit our Data Science Resource Center.
All Titles
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- Foundations of Deep Reinforcement Learning: Theory and Practice in Python
- eBook (Watermarked) $38.39
- Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
- eBook (Watermarked) $38.39
- Machine Learning with Python for Everyone
- eBook (Watermarked) $38.39
- Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R
- eBook (Watermarked) $38.39
- Data Analytics with Spark Using Python
- eBook (Watermarked) $34.39