Data science from scratch : first principles with Python - Grus, Joel (Software engineer) (Sebastopol, CA : O'Reilly Media, 2019)
Introduction -- A crash course in Python -- Visualizing data -- Linear algebra -- Statistics -- Probability -- Hypothesis and inference -- Gradient descent -- Getting data -- Working with data -- Machine learning -- k-Nearest neighbors -- Naive bayes -- Simple linear regression -- Multiple regression -- Logistic regression -- Decision trees -- Neural networks -- Deep learning -- Clustering -- Natural language processing -- Network analysis -- Recommender systems -- Databases and SQL -- MapReduce -- Data ethics -- Go forth and do data science.
(3ebQQGJ OQGSjI dWdGH GdLGeYI (B2024.s
(3ebQQGJ OQGSjI (B2025-2026.s
Includes bibliographical references and index.
Keywords: Python (Computer program language); Database management; Data structures (Computer science); Data mining; Data mining -- Mathematics