Geographic Data Science with Python
This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive,...
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410 pages
2023-06-14 Published
Deep Learning for Coders with fastai and PyTorch
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results...
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350 pages
2020-07-31 Published
Reinforcement Learning, 2nd Edition
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the...
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548 pages
2018-11-23 Published
Foundations of Machine Learning, 2nd Edition
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve...
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504 pages
2019-04-02 Published
Mathematical Analysis of Machine Learning Algorithms
The mathematical theory of machine learning not only explains the current algorithms but can also motivate principled approaches for the future. This self-contained textbook introduces students and researchers of AI...
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479 pages
2023-08-10 Published
Applied Python Programming
"System focused programming" might be the better term than "System Programming". System programming or systems programming means often only the activity of "programming system software", programs which are often part...
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111 pages
2022-02-01 Published
Get Started with MicroPython on Raspberry Pi Pico, 2nd Edition
Microcontrollers, like the RP2040 chip at the heart of Raspberry Pi Pico, are computers stripped back to their bare essentials. You don't use monitors or keyboards with them — instead, you...
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204 pages
2024-06-25 Published
Introduction to Python Programming
Introduction to Python Programming provides a comprehensive foundation in programming concepts and skills, and it is aligned to the scope of most introductory courses. A wide array of scenarios, contexts, and...
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414 pages
2024-03-13 Published
Social Networks with Rich Edge Semantics
Social Networks with Rich Edge Semantics introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types...
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230 pages
2020-06-30 Published
Minimalist Data Wrangling with Python
Minimalist Data Wrangling with Python is envisaged as a student's first introduction to data science, providing a high-level overview as well as discussing key concepts in detail. We explore methods for cleaning...
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442 pages
2022-08-24 Published
Deep R Programming
Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for data science. It equips ambitious students, professionals, and researchers with the knowledge and...
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466 pages
2023-06-28 Published
Making Games With Python & Pygame
Making Games with Python & Pygame covers the Pygame library with the source code for 11 games. Making Games was written as a sequel for the same age range as Invent...
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347 pages
2012-01-12 Published