The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses.

The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses.

That includes Python and R, two of the foundational programming languages in the field. This book guides data scientists from the Python and R communities along the path to becoming bilingual.

In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.

This book fills a sorely-needed gap in the existing literature by not sacrificing depth for breadth, presenting proofs of major theorems and subsequent derivations, as well as providing a copious amount of Python code.

Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets.

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks.

Practitioners in these and related fields will find this book perfect for self-study as well.

... Python. Shital Dhakal is a seasoned GIS professional with over seven years' experience in the field of GIS and remote sensing. He has acquired industry and research experience in North America, Europe ... searching. for. authors. like. you.

With MULTIVARIABLE CALCULUS, 7e, International Metric Edition Stewart conveys not only the utility of calculus to help you develop technical competence, but also gives you an appreciation for the intrinsic beauty of the subject.