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[PDF] Télécharger Data Science from Scratch: First Principles with Python

[PDF] Télécharger Data Science from Scratch: First Principles with Python

[PDF] Télécharger Data Science from Scratch: First Principles with Python - Data Science from Scratch: First Principles with Python Livre par Joel Grus a été vendu pour $39.99 chaque copie. Le livre publié par O'Reilly Media. Il contient 330 le nombre de pages. Inscrivez-vous maintenant pour accéder à des milliers de livres disponibles en téléchargement gratuit. L'inscription était gratuite.
Titre :
Data Science from Scratch: First Principles with Python
Nom de fichier : data-science-from-scratch-first-principles-with-python.pdf
ISBN 10: 149190142X
Nombre de pages:330 pages
Auteur:Joel Grus
Éditeur:O'Reilly Media
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Data Science from Scratch: First Principles with Python Epub
Data Science from Scratch: First Principles with Python Pdf
Data Science from Scratch: First Principles with Python Audiobook
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science 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 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

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Data science libraries, frameworks, modules, and toolkits are great for doing data science, ... Data Science from Scratch First Principles with Python.
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implementing simplified versions of them from scratch to understand exactly what it is they're doing. Hence Data Science from Scratch. It's got math, but only as much as is totally necessary. It's got scraping and cleaning and munging. It's got machine learning. It's got databases and MapReduce.
Data Science from Scratch: First Principles with Python ...
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.
Data Science from Scratch: First Principles with Python
What Is Machine Learning? Everyone has her own exact definition, but we’ll use machine learning to refer to creating and using models that are learned ...
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