Einführung in Data Science

New edition of the standard work, now for Python 3.6

The ideal introduction to Data Science – pedagogically well-structured and easy to follow. It provides mathematical background knowledge and a crash course in Python. Includes new material on Deep Learning, Statistics, and Natural Language Processing. This book introduces you to Data Science by explaining fundamental principles of data analysis and presenting suitable techniques and tools. You will not only learn how to use libraries, frameworks, modules, and toolkits, but you will also implement them yourself. This way, you will develop a deeper understanding of the interconnections and learn how essential tools and algorithms of data analysis work at their core. If you have programming skills and a certain affinity for mathematics, Joel Grus will help you become familiar with the mathematical and statistical foundations of Data Science and acquire the programming skills you need for practical applications. He uses Python: the widely-used language is easy to learn and comes with numerous libraries for Data Science.