Free Data Science Books & Tutorials. Read online or download these free Data Science eBooks, lecture notes & tutorials.
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Data Mining in Medical and Biological Research (Eugenia G. Giannopoulou)
 
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The goal of this free programming book is to compile the most recent developments and uses of data mining research from around the globe in the exciting fields of medicine and biology. ...
Planning for Big Data: A CIO's Handbook to the Changing Data Landscape (Edd Dumbill)
 
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This free programming book offers a useful, approachable "brief" on the state of Big Data analytics today and how you may profitably use this technology to boost your company's profitability.  
Big Data Now: Current Perspectives from O'Reilly Radar (O'Reilly Radar Team)
 
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This free programming book summarizes the report's findings on trends, techniques, applications, and predictions.  
Engineering Agile Big-Data Systems (Kevin Feeney, et al)
 
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This free programming book describes a way for coordinating these procedures over the course of product lifecycles in order to address these issues in software and data engineering. It covers techniques that can be used to accomplish these goals...
Introduction to Probability for Data Science (Stanley H. Chan)
 
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This book serves as an introduction to probability for college students. Its goal is to explain the rationale, implication, and intuition behind the probabilistic tools that we use in research and engineering.
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale (Gwen Shapira, et al)
 
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Whether it's log messages, metrics, user activity, or outgoing messages, every corporate application generates data. The act of moving the data is just as crucial as the data itself.
The Data Engineer's Guide to Apache Spark (Databricks)
 
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This book is intended for data engineers who want to create faster and more dependable data pipelines by taking advantage of Apache Spark's phenomenal growth.
The Ultimate Guide to Basic Data Cleaning (SocialCops)
 
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Trying to purge corrupt data? You'll learn the best advice and shortcuts in this manual to increase the productivity of your data cleansing. Discover the 8 most frequent difficulties with data quality and how to solve them by learning...
The Big Book of Machine Learning Use Cases (Databricks)
 
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Finding real-world use cases that are pertinent to what you're working on can be difficult because the field of machine learning is developing so quickly.
The Data Engineering Cookbook: Mastering The Plumbing Of Data Science (Andreas Kretz)
 
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A good understanding of data modeling methods and pipelining is provided by this book. You will become familiar with the fundamentals of data engineering at the book's outset.
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