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A contemporary coach uses state-of-the-art education technology.Marat Kenzhebulatov, the holder of a black belt in Brazilian Jiu-Jitsu; head of the Bars Checkmat Brazilian Jiu-Jitsu Academy, shares his experience in the Study Guide on using the neurolinguistic programming techniques to present educational material. The book will help build the training process in such a way as to help jitsers effectively master fighting techniques.
TRIZ turns inventing into a controllable and systematic process. Within technology-oriented companies and institutions, this powerful method can help foster innovation through an extraordinary efficient and lean management of knowledge and data. In fact, TRIZ makes available all the knowledge of all the patents world-wide that can be used for the solution of practical problems. This book is of extremely practical importance to development engineers and planners in all areas of modern technology. Written for self-study, the book provides the reader in the most vivid manner with the key ideas, techniques and paradigms of the TRIZ method. The author is a former student of late Genrich Altshuller, who developed TRIZ in the former Soviet Union.
"Explains, teaches, and helps you develop the psychological skills required for peak performance and mental toughness, all the while pointing out the underlying strategies that lead to higher levels of performance." -- Back cover.
Building upon Timothy Ferriss's internationally successful "4-hour" franchise, The 4-Hour Chef transforms the way we cook, eat, and learn. Featuring recipes and cooking tricks from world-renowned chefs, and interspersed with the radically counterintuitive advice Ferriss's fans have come to expect, The 4-Hour Chef is a practical but unusual guide to mastering food and cooking, whether you are a seasoned pro or a blank-slate novice.
A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.
The Barbell Prescription: Strength Training for Life After 40 directly addresses the most pervasive problem faced by aging humans: the loss of physical strength and all its associated problems - the loss of muscle mass, bone mineral loss and osteoporosis, hip fractures (a terminal event for many older people), loss of balance and coordination, diabetes, heart disease related to a sedentary lifestyle, and the loss of independence. The worst advice an older person ever gets is, Take it easy. Easy makes you soft, and soft makes you dead. The Barbell Prescription maps an escape from the usual fate of older adults: a logical, programmed approach to the hard work necessary to win at the extreme sport of Aging Well. Unlike all other books on the subject of exercise for seniors, The Barbell Prescription challenges the motivated Athlete of Aging with a no-nonsense training approach to strength and health - and demonstrates that everybody can become significantly stronger using the most effective tools ever developed for the job.
This book is a survey and analysis of how deep learning can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of deep learning techniques for music generation. They also develop a conceptual framework used to classify and analyze various types of architecture, encoding models, generation strategies, and ways to control the generation. The five dimensions of this framework are: objective (the kind of musical content to be generated, e.g., melody, accompaniment); representation (the musical elements to be considered and how to encode them, e.g., chord, silence, piano roll, one-hot encoding); architecture (the structure organizing neurons, their connexions, and the flow of their activations, e.g., feedforward, recurrent, variational autoencoder); challenge (the desired properties and issues, e.g., variability, incrementality, adaptability); and strategy (the way to model and control the process of generation, e.g., single-step feedforward, iterative feedforward, decoder feedforward, sampling). To illustrate the possible design decisions and to allow comparison and correlation analysis they analyze and classify more than 40 systems, and they discuss important open challenges such as interactivity, originality, and structure. The authors have extensive knowledge and experience in all related research, technical, performance, and business aspects. The book is suitable for students, practitioners, and researchers in the artificial intelligence, machine learning, and music creation domains. The reader does not require any prior knowledge about artificial neural networks, deep learning, or computer music. The text is fully supported with a comprehensive table of acronyms, bibliography, glossary, and index, and supplementary material is available from the authors' website.
Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience. This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.
Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP. You’ll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering representation methods for text data, including both traditional statistical models and newer deep learning-based embedding models. Improved techniques and new methods around parsing and processing text are discussed as well. Text summarization and topic models have been overhauled so the book showcases how to build, tune, and interpret topic models in the context of an interest dataset on NIPS conference papers. Additionally, the book covers text similarity techniques with a real-world example of movie recommenders, along with sentiment analysis using supervised and unsupervised techniques. There is also a chapter dedicated to semantic analysis where you’ll see how to build your own named entity recognition (NER) system from scratch. While the overall structure of the book remains the same, the entire code base, modules, and chapters has been updated to the latest Python 3.x release. What You'll Learn • Understand NLP and text syntax, semantics and structure• Discover text cleaning and feature engineering• Review text classification and text clustering • Assess text summarization and topic models• Study deep learning for NLP Who This Book Is For IT professionals, data analysts, developers, linguistic experts, data scientists and engineers and basically anyone with a keen interest in linguistics, analytics and generating insights from textual data.