Introduction to Robotics: Mechanics and Control Now in its third edition, Introduction to Robotics by John J. Craig provides readers with real-world practicality with underlying theory presented. With one half of the material from traditional mechanical engineering material, one fourth control theoretical material, and one fourth computer science, the book covers rigid-body... Introduction to Probability with Statistical Applications This book provides a calculus-based introduction to probability and statistics. It contains enough material for two semesters but, with judicious selection, it can be used as a textbook for a one-semester course, either in probability and statistics or in probability alone.
Each section contains many examples and exercises and, in the...
HTML5 Graphing & Data Visualization Cookbook
Today, the Web and the world are increasingly being defined by data. With the data revolution
of the Internet in the early nineties and until today, more and more data has been exposed
and aggregated, from government agencies, public sector information, financial information,
digital media and news, and social media to private... TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...
Matlab for Neuroscientists: An Introduction to Scientific Computing in Matlab Matlab is the accepted standard for scientific computing, used globally in virtually all Neuroscience and Cognitive Psychology laboratories. For instance, SPM, the most used software for the analysis and manipulation of fMRI images in research and clinical practice is fully programmed in matlab, and its use of the possibility to allow for...
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