Covers the fundamentals of data science, emphasizing breadth over depth and practical application in machine learning and data analysis.
Examines cooperation, altruism, and friendships among non-relatives in animals and humans, emphasizing the role of reciprocity and social norms.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Explores Singular Value Decomposition and its role in unsupervised learning and dimensionality reduction, emphasizing its properties and applications.
