📚Top Data Science Books 2022
Ethics and Data Science - in this book, the author introduces us to the principles of working with data and what to do to implement them today.
Data Science for Economics and Finance - this book deals with data science, including machine learning, social network analysis, web analytics, time series analysis, and more in relation to economics and finance.
Leveraging Data Science for Global Health - This book explores the use of information technology and machine learning to fight disease and promote health.
Understanding Statistics and Experimental Design - the book provides the foundations needed to properly understand and interpret statistics. This book covers the key concepts and discusses why experiments are often not reproducible.
Building data science teams - the book covers the skills, perspectives, tools, processes needed to grow teams
Mathematics for Machine Learning - this book covers the basics of mathematics (linear algebra, geometry, vectors, etc.), as well as the main problems of machine learning.