May 2024
Beginner to intermediate
336 pages
4h 55m
Chinese
Overview
让数据科学的学习有趣又自然；数据科学入门的概念手册和实用手册；集数据思维、概率统计基础、主流机器学习技术、应用案例和实操代码于一体的“数据科学百宝书”
Key Features
- 由浅入深，通过案例和Python代码讲解
- 内容涵盖数据科学的全过程
Book Description
数据科学家是目前最热门的职业之一。本书的目的是帮助你掌握数学、编程和商业分析的综合技能。通过本书，你将能够自信地提出并解答复杂的数据问题，从抽象和原始的统计信息发掘并完善可执行的想法。通过将数学和计算机编程技能相结合，你将踏上成为数据科学家的激动人心的旅程。
本书介绍了数据科学的全过程，包括数据准备、数据清洗，以及如何选择有效的数据挖掘策略和技巧，从而深入理解数据科学的方方面面。你将学到数学和统计学的核心知识，以及数据科学家和分析师经常使用的代码。你将了解机器学习，学会用常见的统计学模型分析稠密数据集，创建有说服力的可视化图表，并和他人交流分析结果。
本书适合有志于成为数据科学家的师生或业界新手，同时也适合经验丰富的职场老手参考。
What you will learn
- 理解数据科学的五个核心步骤
- 聪明地使用你的数据，仔细地处理它
- 填平数学和计算机编程之间的鸿沟
- 学会概率论、微积分，以及使用统计模型处理数据，得出切实有效的结果
- 生成并评估简单的机器学习模型
- 通过分析模型有效性指标，决定机器学习模型的质量
- 通过数据可视化向他人分享见解
- 理解机器学习模型，并使用机器学习模型进行预测，解决自己的问题
Who this book is for
如果你有基本的数学技能，但想要将它们应用到数据科学领域，或者你有良好的编程技能，但缺乏数学知识，那么这本书正是为你所写的。
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