Data Science from Scratch 2024 pdf epub mobi 电子书

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Data Science from Scratch 2024 pdf epub mobi 电子书著者简介

Joel Grus is a research engineer at the Allen Institute for Artificial Intelligence. Previously he worked as a software engineer at Google and a data scientist at several startups. He lives in Seattle, where he regularly attends data science happy hours. He blogs infrequently at joelgrus.com and tweets all day long at @joelgrus.

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发表于2024-11-27

Data Science from Scratch 2024 pdf epub mobi 电子书

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说是数据科学指路到是差不多。告诉你有哪些方面的知识需要去学习的。25章每章都值得单独去借上一两本书去学习，都值得花上一两个月用上N多个案例来实践，这样之后，我觉得才是真的入门了。书中的代码又是一段一段的，估计只有作者才会知道这个功能是怎么来的，有什么用。后面...

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书名叫《数据科学入门》，可实际上却并不适合零基础的人读，需要有一定的基础（包括python基础和数学基础）。我觉得称之为“指南”更合适。 —————————— 当初为什么买这本书？有段时间对数据异常着迷，只要和数据有关的数都不管三七二十一加到购物车，发工资了就买。...

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数据科学是一个蓬勃发展、前途无限的行业，有人将数据科学家称为“21世纪头号性感职业”。本书从零开始讲解数据科学工作，教授数据科学工作所必需的黑客技能，并带领读者熟悉数据科学的核心知识——数学和统计学。作者选择了功能强大、简单易学的Python语言环境，亲手搭建工具...

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出版者:O'Reilly Media

作者:Joel Grus

出品人:

页数:406

译者:

出版时间:2019-5-13

价格:USD 59.99

装帧:Paperback

isbn号码:9781492041139

丛书系列:

图书标签: Python 大数据 Science" "Data py DM

Data Science from Scratch 2024 pdf epub mobi 电子书图书描述

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

Data Science from Scratch 2024 pdf epub mobi 电子书

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