Data Science from Scratch. First Principles with Python
2nd edition
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- Nombre de pages384
- PrésentationBroché
- FormatGrand Format
- Poids0.695 kg
- Dimensions17,7 cm × 23,3 cm × 2,0 cm
- ISBN978-1-4920-4113-9
- EAN9781492041139
- Date de parution01/06/2019
- ÉditeurO'Reilly
Résumé
Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today's messy glut of data. Get a crash course in Python. Learn the basics of linear algebra, statistics, and probability - and 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.
Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today's messy glut of data. Get a crash course in Python. Learn the basics of linear algebra, statistics, and probability - and 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.