Dive into the core principles and techniques of data science with this comprehensive course by renowned experts. Gain a strong foundation in algorithms, machine learning, and more.
Technical TutorialsComputer ScienceData Science
Introduction
Foundations of Data Science by Avrim Blum, John Hopcroft, and Ravindran Kannan provides a comprehensive introduction to data science, covering foundational concepts, algorithms, and techniques.
Highlights
Covers foundational concepts, algorithms, and techniques in data science
Authored by renowned experts in the field of computer science and data science
Includes topics such as high-dimensional space, singular value decomposition, random walks and Markov chains, and machine learning
Recommendation
This course is recommended for anyone interested in gaining a strong foundation in data science, including students, researchers, and professionals in fields such as computer science, statistics, and analytics. The course provides a solid grounding in the core principles and techniques of data science, making it a valuable resource for both beginners and experienced practitioners.