This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and ...
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and ...
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Undergradu 2024 pdf epub mobi 电子书 著者简介 From the Back Cover This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of...
Finally, you may want to clone the original Berkeley textbook: # Get out of textbook tree cd .. git clone https://github.com/data-8/textbook Make sure you are using the last commit we can legally use, from the Berkeley repository: cd textbook # Checkout the last CC-BY-NC commit gi...
Introduction to Data Science A Python Approach to Concepts, Techniques and Applications This repository is part of the book: "Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications" http://www.springer.com/gp/book/9783319500164 About the Textbook: This accessible an...
The first edition of this book, published in 2006 [1], was probably the best introductory textbook on data mining available. A dozen years later, the field has evolved to become mainstream under the commercial denomination of "big data," or its more academic appellative "data science." Due ...
The book is used as a textbook for my data mining class. It covers all fundamental theories and concepts of data mining, and it explained everything in a quite easy-to-understand and detailed manner. It is suggested to have a good comprehension of some math... ...
This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a singular...
The book does not require any knowledge of computer programming, and can be used as a conventional textbook, by reading the chapters and working the exercises that do not involve numerical computation. This approach however misses out on one of the most compelling reasons to learn the material: ...