Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this digital textbook Understanding Machine Learning: From Theory to Algorithms (PDF) is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The ebook provides a theoretical account
This is the eBook of the textbook and may not include website access codes, any media, or print supplements that may come bundled with the bound ebook. A data-driven, structured approach to understanding core operations management concepts. Anupindi shows how managers can manage and design process structure and process drivers
Siegel’s Practical Business Statistics 7th Edition, (PDF) provides a conceptual, realistic, and matter-of-fact approach to managerial statistics that carefully maintains, but does not overemphasize mathematical correctness. The ebook provides deep understanding of how to learn from data and how to deal with uncertainty while promoting the use of practical computer
Make research relevant by a storytelling strategy. Social Psychology 9th edition (PDF) introduces the key concepts of the field by way of an acclaimed storytelling method that makes research relevant to college students. Drawing upon their extensive expertise as researchers and teachers, Elliot Aronson, Tim Wilson, Robin Akert, and new
This ebook features a unique arrangement of comprehensive coverage of logic with a solid exposition of the most important fields of discrete mathematics, providing the material that has been tested and refined by the authors in university courses taught over a decade. Logic and Discrete Mathematics: A Concise Introduction, (PDF)