Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.

By using concrete examples, minimal theory, and two production-ready Python frameworksâ??Scikit-Learn and TensorFlowâ??author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. Youâ??ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what youâ??ve learned, all you need is programming experience to get started.

• Explore the machine learning landscape, particularly neural nets
• Use Scikit-Learn to track an example machine-learning project end-to-end
• Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
• Use the TensorFlow library to build and train neural nets
• Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
• Learn techniques for training and scaling deep neural nets

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Written by martial arts authority Donn Draeger and judo champion and instructor Takahiko Ishikawa, it is an expert martial arts guide. Although the examples are geared toward judo, the training and conditioning methods set out are valuable for all martial artists and athletes, whatever their art or sport. Judo Training Methods is an "encyclopedia of judo" covering not only Judo techniques and training methods but also dojo etiquette, tournament rules, and promotion requirements.

This illustrated judo book features over 1,000 photos and 200 conditioning exercises. A perfect introduction to Judo for beginners, the exercises in this classic text are also valuable conditioning exercises for football, basketball, track, swimming, wrestling, boxing, tennis, baseball, mixed martial arts and more!

Chapters introduce readers to the principles and practice of Judo, including:

• Physical Judo Re-Examined
• Classification of Exercises and Muscle Groups
• Kinesiological Principles About Muscle
• Judo Training Advice
• Judo and Weight Training
• Judo Training Routines
• Preparatory Exercises
• Supplementary Exercises
• Compound Exercises
• Auxiliary Exercises

Why do polished stones look wet? How does the Twin Paradox work? What if Jupiter were a star? How can we be sure that pi never repeats? How does a quantum computer break encryption? Discover the answers to these, and other profound physics questions!

This fascinating book presents a collection of articles based on conversations and correspondences between the author and complete strangers about physics and math. The author, a researcher in mathematical physics, responds to dozens of questions posed by inquiring minds from all over the world, ranging from the everyday to the profound.

Contains a wealth of topics to allow instructors flexibility in the choice of topics and depth of coverage: Examines

projective motion with and without realistic air resistance. Discusses planetary motion and the three-body problem. Explores

chaotic motion of the pendulum and waves on a string. Includes topics relating to fractal growth and stochastic systems.

Offers examples on statistical physics and quantum mechanics. Contains ample explanations of the necessary algorithms

students need to help them write original programs, and provides many example programs and calculations for reference.

This fourth edition of the text reflects the continuing increase in awareness and use of computational electromagnetics and incorporates advances and refinements made in recent years. Most notable among these are the improvements made to the standard algorithm for the finite-difference time-domain (FDTD) method and treatment of absorbing boundary conditions in FDTD, finite element, and transmission-line-matrix methods. It teaches the readers how to pose, numerically analyze, and solve EM problems, to give them the ability to expand their problem-solving skills using a variety of methods, and to prepare them for research in electromagnetism.

• Includes new homework problems in each chapter.

• Each chapter is updated with the current trends in CEM.

• Adds a new appendix on CEM codes, which covers commercial and free codes.

• Provides updated MATLAB code.

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