Summaries of books about Data Science & Big Data:
Big Data
A Revolution That Will Transform How We Live, Work, and Think
Viktor Mayer-Schönberger|Kenneth Cukier
The book explores the impact of the vast amounts of data generated by individuals and machines, detailing how big data analytics can reveal patterns and insights that were previously inaccessible. It discusses the implications for decision-making in various sectors, including healthcare, business, and government, while also addressing the challenges and risks associated with privacy and control of information.
See full summary
Practical Statistics for Data Scientists
50+ Essential Concepts Using R and Python
Peter Bruce|Andrew Bruce|Peter Gedeck
The book serves as a guide to the statistical methods that are essential for data science, providing over 50 key concepts with practical code examples in both R and Python. It covers topics such as exploratory data analysis, data visualization, probability, statistical modeling, and machine learning, aiming to equip readers with the statistical understanding necessary for real-world data analysis.
See full summary
The MVP Machine
How Baseball's New Nonconformists Are Using Data to Build Better Players
Ben Lindbergh|Travis Sawchik
The book explores the revolution in player development in baseball, highlighting how teams and individuals are leveraging advanced technology and data analytics to enhance player performance. It delves into the stories of those at the forefront of this movement, showcasing how unconventional thinking and embracing new metrics are transforming the way players are trained and evaluated.
See full summary
Data Science from Scratch
First Principles with Python
Joel Grus
The book introduces fundamental concepts of data science, such as statistics, probability, and machine learning algorithms, using Python code examples. It provides a hands-on approach to learning by building tools and models from scratch, aiming to give readers a deeper understanding of how data science methods work under the hood.
See full summary
Predictive Analytics
The Power to Predict Who Will Click, Buy, Lie, or Die
Eric Siegel
The book explores the use of predictive analytics in various industries, illustrating how data and machine learning can forecast individual behavior and trends. It delves into real-world examples, ethical considerations, and the impact of predictive technology on business and society.
See full summary
Data Science
John D. Kelleher|Brendan Tierney
The book provides an accessible introduction to data science, covering fundamental concepts such as data analysis, machine learning, and statistical pattern recognition. It discusses the role of data science in decision-making processes and the ethical challenges that arise from data-driven approaches.
See full summary
Trustworthy Online Controlled Experiments
A Practical Guide to A/B Testing
Ron Kohavi|Diane Tang|Ya Xu
The book serves as a comprehensive guide to designing, implementing, and interpreting A/B tests, providing readers with the statistical foundations and practical insights needed to run controlled experiments on the web effectively. It covers topics such as experiment pitfalls, analysis techniques, and case studies to help practitioners make data-informed decisions and improve online services through rigorous experimentation.
See full summary
Data Analytics Made Accessible
2023 edition
Anil Maheshwari
The book provides a comprehensive overview of data analytics concepts, techniques, and applications, catering to beginners and professionals alike. It covers topics such as data preprocessing, machine learning, data visualization, and predictive analytics, with practical examples and case studies to illustrate the use of analytics in various industries.
See full summary
Spark
The Definitive Guide: Big Data Processing Made Simple
Bill Chambers|Matei Zaharia
The book serves as a comprehensive guide to using Apache Spark, covering its fundamental concepts, architecture, and practical applications in big data processing. It provides detailed explanations of Spark's core APIs, dataframes, datasets, and how to leverage Spark's capabilities for machine learning and streaming data analysis.
See full summary
Blockchain Chicken Farm
And Other Stories of Tech in China's Countryside
Xiaowei Wang
The book explores the intersection of technology and rural life in China, examining how innovations like blockchain, AI, and e-commerce are transforming the agricultural sector and the lives of farmers. It presents a series of vignettes and case studies that reveal the complexities of modernization and the unexpected ways in which technology is reshaping the Chinese countryside.
See full summary