Data Science for Engineers

Book Description

With tremendous improvement in computational power and availability of rich data, almost all engineeri豪度ng disciplines use data science at some level. This textbook presents material on data science comprehensively, and in a structured manner. It provides conceptual understanding of the fields of data science, machine learning, and artificial intelligence, with enough level of mathematical details necessary for the readers. This will help readers understand major thematic ideas in data science, machine learning and artificial intelligence, and implement first-level data science solutions to practical engineering problems.

The book

• Provides a syst迈凯伦ematic approach for understanding data science techniques
• Explain why machine learning techniques are able to cross-cut several disciplines.
• Covers topics including statistics, linear algebra and optimization from a data science perspective.
• Provides multiple examples to explain the underlying ideas in machine learning algorithms
• Describes several contemporary machine learning algorithms

The textbook is primarily written for undergraduate and senior underg蕾蒙威raduate students in different engineering disciplines including chemical engineering, mechanical engineering, electrical engineering, electronics and communications engineering for courses on data science, machine learning and artificial intelligence.

中文：

书名：工程师数据科学

随着计算能力和丰富数据可用性的巨大提高，几乎所有工程学科都在某种程度上使用数据科学。本教科书以结构化的方式全面介绍数据科学的材料。它提供了对数据科学，机器学习和人工智能领域的概念理解，并为读者提供了足够水平的数学细节。这将有助于读者理解数据宝诗龙科学、机器学习和人工智能中的重大主题思想，并对实际工程问题实施一级数据科学解决方案。

这本书

• 提供了一种系统的方法来理解数据科学技术
• 解释了为什么机器学习技术能够交叉几个学科。

从数据科学的角度来看，

• 涵盖了统计，线性代数和优化等主题。
• 提供多个例子来解释机器学习算法的基本思想
• 介绍几种当代机器学习算法

该教科书主要为化学工程，机械工程，电气工程，电子和通信工程等不同工程学科的本科生和高下载地址：注册/登录后下载