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portada Data Science From Scratch: First Principles With Python
Type
Physical Book
Author
Publisher
Year
2019
Language
English
Pages
403
Format
Paperback
Dimensions
23.1 x 17.5 x 2.3 cm
Weight
0.64 kg.
ISBN13
9781492041139
Edition No.
0002
Categories

Data Science From Scratch: First Principles With Python

Joel Grus (Author) · O'Reilly Media · Paperback

Data Science From Scratch: First Principles With Python - Grus, Joel

5 estrellas - de un total de 5 estrellas 2 reviews
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Synopsis "Data Science From Scratch: First Principles With Python "

To really learn data science, you should not only master the tools--data science libraries, frameworks, modules, and toolkits--but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch. 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 the hacking skills you need to get started as a data scientist. 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, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases
Joel Grus
  (Author)
View Author's Page
Joel is a software engineer, data scientist, and bestselling author. He works at a large financial services company where he leads a small team that builds data and ML products. Previously, he conducted research and engineering at the Allen Institute for Artificial Intelligence in Seattle, where he worked on the AllenNLP project. Before that, he designed software at Google and did data science at a variety of startups. His Twitter handle is @joelgrus.
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Customers reviews

Ignacio Araya Monday, June 07, 2021
Verified Purchase

Excelente punto de partida para los que quieran empezar a estudiar el tema de manera más rigurosa.

10
 Pablo Andrés Hernández Arbeláez Thursday, August 24, 2023
Verified Purchase

Justo como aparece en la descripción. Buen libro para iniciarse en la ciencia de datos

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The binding of this edition is Paperback.

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