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Sinopse
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.
•Get a crash course in Python
•Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science
•Collect, explore, clean, munge, and manipulate data
•Dive into the fundamentals of machine learning
•Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering
•Explore recommender systems, natural language processing, network analysis, MapReduce, and databases
Ficha técnica
Especificações
ISBN | 9781491901427 |
---|---|
Subtítulo | FIRST PRINCIPLES WITH PYTHON |
Pré venda | Não |
Peso | 368g |
Autor para link | GRUS JOEL |
Livro disponível - pronta entrega | Não |
Dimensões | 23 x 16 x 1 |
Idioma | Inglês |
Tipo item | Livro Importado |
Número de páginas | 330 |
Número da edição | 1ª EDIÇAO - 2015 |
Código Interno | 764108 |
Código de barras | 9781491901427 |
Acabamento | PAPERBACK |
Autor | GRUS, JOEL |
Editora | O'REILLY MEDIA |
Sob encomenda | Não |