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Grus, Joel (Software engineer),

Data science from scratch : first principles with Python / Joel Grus. - Second edition. - Sebastopol, CA : O'Reilly Media, c2019. - xvii, 384 pages : illustrations ; 24 cm

Includes bibliographical references and index.

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.

ISBN: 9781492041139

Source: 107490 TVG

LCCN: 2019304439

Subjects--Topical Terms:
Python (Computer program language)
Database management.
Data structures (Computer science)
Data mining.
Data mining--Mathematics.
Data mining.
Data structures (Computer science)
Database management.
Python (Computer program language)

LC Class. No.: QA76.73.P98 / G78 2019

Dewey Class. No.: 005.7565 / GRU