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The Probability Companion for Engineering and Computer Science |
The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students.
- Some sixty-four exercises and ninety-one worked examples feature real-world scenarios
- Hundreds of diagrams illustrate concepts and results to help readers visualise concepts and improve intuition
- Detailed mathematical derivations are built for clarity rather than complete rigour
Network Flow Algorithms
Network Flow Algorithms |
It covers maximum flows, minimum-cost flows, generalized flows, multicommodity flows, and global minimum cuts and also presents recent work on computing electrical flows along with recent applications of these flows to classical problems in network flow theory.
- Presents results in the area from a modern computer science algorithms outlook
- Contains several key algorithms not previously treated in book form, including new algorithms on electrical flow
- Includes fifty-five end-of-chapter exercises which provide applications and additional algorithms to analyze
Next-Generation Ethics - Engineering a Better Society
Next-Generation Ethics Engineering a Better Society |
Technologists and general readers with no formal ethics training and specialists exploring technological applications to the field of ethics will benefit from this overview.
- Written in a style tailored to a general audience
- Applications span a variety of different fields, including technology, business, medicine, and public policy
- Prominent contributors include Vint Cerf, Glenda Cooper, Eric Horvitz, and Deirdre Mulligan
Fundamentals of Machine Learning
Fundamentals of Machine Learning |
This book is a brief introduction to this area - exploring its importance in a range of many disciplines, from science to engineering, and even its broader impact on our society. The book is written in a style that strikes a balance between brevity of explanation, rigorous mathematical argument, and outlines principle ideas...
- Includes both deep learning and Bayesian ideas, whereas most books on machine learning focus only on either deep learning or Bayesian approaches
- Gives the reader a broad overview of this rapidly growing field, in a short and accessible guide
- Provides the reader with programming examples, helping them better understand the concepts of machine learning
The Oxford Handbook of Expertise
The Oxford Handbook of Expertise |
- A comprehensive and inclusive review of the science of expertise.
- Expert editors and contributors guide readers through a growing research area.
- Wide range of topics covering a broad field give readers everything they need to know about this ever growing area of research.
- Provides guidelines on how to use the material presented to study expertise.
Computing Possible Futures
Computing Possible Futures |
- A wide range of modeling paradigms are addressed and explained with detailed illustrations rather than pure mathematics, making content easier to digest
- Brings material to life with illustrations of how computational models have supported important real life decisions
- Provides broad coverage of systems engineering, operations research, analytics, and AI, all applied in the context of a human-centered approach
- Makes a breadth of conceptual material easy to digest
How to Work Hard and Still Have a Life
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- Baratunde Thurton’s ambivalence toward technology - how fulfilling yet burdensome social platforms became for him, or to
- Young Rahm Emanuel’s desire to fit in family life with a heady White House gig, or to
- A Home Depot executive’s inability to turn down projects for fear of missing out on growing business, or to
- One millennial’s struggle to resist his generation’s lifestyle
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Empires of the Word: A Language History of the World
Empires of the Word: A Language History of the World |
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📚 Books and ☕️ coffee!
Source: Cambridge University Press, Oxford University Press, TradePub and Ancient Origins.