comprehensive beginners guide to learn data science fom scratch George, Henry creator author. text bibliography cau 2019 Second edition. monographic eng

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Unpages : 19 cm 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. Joel Grus. Includes bibliographical references and index. Database management Data structures (Computer science) Data structures (Computer science) QA76.73.P98 G78 2019 005.75 GEO 9781492041139 1492041130 2019304439 107490 TVG YDX 191230 20260127091023.0 21347569 eng