Grus, Joel  (Software engineer), <br/><br/>
Data science from scratch :  first principles with Python / 
Joel Grus. 
 - Second edition. 
 - Sebastopol, CA :  O'Reilly Media,  c2019. 
 - xvii, 384 pages :  illustrations ;  24 cm 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>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. 
<br/><br/><label>ISBN: </label>9781492041139 
<br/><br/><label>Source: </label>107490  TVG 
<br/><br/><label>LCCN: </label>2019304439 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Python (Computer program language)<br/>Database management.<br/>Data structures (Computer science)<br/>Data mining.<br/>Data mining--Mathematics.<br/>Data mining.<br/>Data structures (Computer science)<br/>Database management.<br/>Python (Computer program language)
<br/><br/><label>LC Class. No.: </label>QA76.73.P98  / G78 2019 
<br/><br/><label>Dewey Class. No.: </label>005.7565  / GRU