Training Fundamentals
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Kettlebell Training Fundamentals
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Author : Taco Fleur
language : en
Publisher: Taco Fleur
Release Date : 2018-03-01
Kettlebell Training Fundamentals written by Taco Fleur and has been published by Taco Fleur this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-01 with Health & Fitness categories.
What Will I Learn? - Use kettlebells safely and effectively for your own training, or that of others - Execute the four important movements in kettlebell training: swing, press, clean, and row - Understand all kettlebell grips that will bring your training to the next level - Learn the important things that are usually overlooked or rushed through - See a whole new world, not just white or black, learn that if it's safe, meet goals, it's good Contains hundreds of detailed photos, links to videos, and step by step instructions. Everything you need to learn kettlebell training, or how to teach others. Reviews: "An extremely good read. Recommended. A kettlebell Great addition to any library users. I personally Have Gained more knowledge That will assist me with my journey using kettlebells as an enthusiast and an instructor. " Bryan Trish (Kettlebell instructor and personal trainer) "A great book for anyone wanting to integrate kettlebells into their workouts Taco covers a lot of information which will help you maximize your training. Links to videos are added bonus and assist with the technical aspects of kettlebell training." Links to videos are added bonus and assist with the technical aspects of kettlebell training. " Mark Godwin (Director, Fit Biz UK)
Speed Training Fundamentals
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Author : Ava Thompson
language : en
Publisher: Publifye AS
Release Date : 2025-03-14
Speed Training Fundamentals written by Ava Thompson and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Sports & Recreation categories.
Speed Training Fundamentals offers a deep dive into the science of speed, focusing on enhancing sprinting speed, agility, and reaction time for athletes and fitness enthusiasts. It emphasizes that improving speed involves more than just running faster; understanding biomechanics and neuromuscular adaptation is crucial. For example, optimizing stride length and frequency can significantly impact performance. The book details various training methodologies, including plyometrics and resisted sprinting, explaining how these methods stimulate specific adaptations in the body. The book progresses systematically, starting with the fundamentals of biomechanics and neuromuscular physiology. It then delves into specific training methods like agility drills and sprint-specific strength training. A key aspect is the integration of biomechanics, exercise physiology, and even sports psychology to provide a holistic approach. This comprehensive perspective helps readers understand not only what to do but also why, offering a unique value compared to exercise-only guides. The book also stresses the importance of personalized training programs and monitoring progress, providing readers with practical tools for implementation. By blending scientific principles with real-world examples, Speed Training Fundamentals aims to empower readers with the knowledge to unlock their full athletic potential.
Simulation Training Fundamentals And Applications
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Author : Philippe Fauquet-Alekhine
language : en
Publisher: Springer
Release Date : 2015-07-24
Simulation Training Fundamentals And Applications written by Philippe Fauquet-Alekhine and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-24 with Education categories.
Drawing on decades of industrial experience, this insightful and practical guide uses case studies and an interdisciplinary perspective to explain the fundamentals of simulation training to improve performance of high-risk professional activities. It seeks to identify those conditions under which simulation training has been shown to improve professional practice while employing extensive real examples. Simulation Training: Fundamentals and Application helps readers to develop their own synthesis of the simulation learning method and to use such training to enhance their skills and performance. Case studies demonstrate five specific theatres of professional practice - the nuclear-power industry, aeronautics, surgery, anesthesia and metallurgy – and then detailed analysis highlights the common factors and key results. The author’s background as a Human Factors Consultant, Physicist and Physiologist has enriched studies of humans in work situations, work organization and management and he has also been involved in pedagogical conception of experimental training on simulators based on his experience as a safety expert on nuclear power plant. The book is useful to practitioners, researchers and students, both in industry and in university. It is clearly cross disciplinary as it presents and discusses applications in engineering, professional practice (airline pilots) and medicine.
Training Fundamentals
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Author : Janis Fisher Chan
language : en
Publisher: Pfeiffer
Release Date : 2009-12-30
Training Fundamentals written by Janis Fisher Chan and has been published by Pfeiffer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-30 with Business & Economics categories.
Training Fundamentals is a no-nonsense, practical overview of training, filled with useful information, best practices, and proven strategies to help both new and experienced trainers develop their skills and design and deliver training that achieves results in today's rapidly changing learning environment. Designed to be easy-to-use, Training Fundamentals covers a range of topics, including: How training helps organizations achieve their goals What characteristics and skills a trainer needs to be successful The adult learning principles that guide all successful training programs The basics of designing, developing, delivering, and evaluating training programs Guidelines for becoming a professional trainer The Pfeiffer Essential Guides to Training Basics is a three-volume series—Training Fundamentals, Designing and Developing Training Programs, and Delivering Training Workshops—that offers new and experienced trainers a wealth of ideas, information, tips, tools, and techniques. Praise for Training Fundamentals "Training—it sounds so simple, but it's not. This book provides an essential—and practical—foundation for designing and delivering a successful workshop. It's easy to use, practical, and chock full of insights only a successful trainer knows." —Barbara Nelson, principal of Nelson Communications "With crisp, fresh, and easy to understand language, Chan cuts through all the jargon and provides easy to follow guidelines for becoming a pro." —Terrence L. Gargiulo, president, MAKINGSTORIES.net, and author, Building Business Acumen for Trainers and Trainer's Portable Mentor
Fundamental Weight Training
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Author : David Sandler
language : en
Publisher: Human Kinetics
Release Date : 2010
Fundamental Weight Training written by David Sandler and has been published by Human Kinetics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Weight training categories.
"Learn the basics safely, effectively and in less time. Over 100 exercises with photo demonstrations are included and supported with step-by-step descriptions for use in the gym or at home. Every aspect of a beginning weight program is covered including exercises and programs to target key areas in each muscle group; stretching routines to prevent injuries; steps and tips for developing your own program; gym language and lingo so you fell at ease walking into any gym"--Provided by the publisher
Machine Learning Fundamentals
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Author : Hui Jiang
language : en
Publisher: Cambridge University Press
Release Date : 2021-11-25
Machine Learning Fundamentals written by Hui Jiang and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-25 with Computers categories.
A coherent introduction to core concepts and deep learning techniques that are critical to academic research and real-world applications.
Machine Learning Fundamentals In Action A Step By Step Guide To Implementing Machine Learning Solutions
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Author : Konstantin Titov
language : en
Publisher: Konstantin Titov
Release Date :
Machine Learning Fundamentals In Action A Step By Step Guide To Implementing Machine Learning Solutions written by Konstantin Titov and has been published by Konstantin Titov this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Master Machine Learning Fundamentals Whether you’re an aspiring data scientist, business professional, or curious learner, Machine Learning Fundamentals in Action is your essential guide to the world of machine learning. Packed with practical examples and real-world applications, this book helps you navigate key concepts and techniques transforming industries today. Unlock the Power of Machine Learning Discover every step, from data preparation to building and deploying models, with clear and actionable insights. Who Is This Book For? Aspiring Data Scientists: Build a solid foundation in ML concepts. Business Professionals: Use data-driven decisions to solve challenges. Developers and Engineers: Get hands-on experience with model-building techniques. Curious Learners: Understand ML with easy, step-by-step explanations. What You’ll Learn: Core ML principles and real-world applications Types of ML: Supervised, Unsupervised, and Reinforcement Learning Advanced topics: Neural networks, deep learning, and more How to deploy models and avoid common pitfalls Start your machine learning journey today!
Deep Learning Fundamentals Theory And Applications
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Author : Kaizhu Huang
language : en
Publisher: Springer
Release Date : 2019-02-15
Deep Learning Fundamentals Theory And Applications written by Kaizhu Huang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-15 with Medical categories.
The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures and algorithms, present its latest theoretical progress, discuss the most popular deep learning platforms and data sets, and describe how many deep learning methodologies have brought great breakthroughs in various applications of text, image, video, speech and audio processing. Deep learning (DL) has been widely considered as the next generation of machine learning methodology. DL attracts much attention and also achieves great success in pattern recognition, computer vision, data mining, and knowledge discovery due to its great capability in learning high-level abstract features from vast amount of data. This new book will not only attempt to provide a general roadmap or guidance to the current deep learning methodologies, but also present the challenges and envision new perspectives which may lead to further breakthroughs in this field. This book will serve as a useful reference for senior (undergraduate or graduate) students in computer science, statistics, electrical engineering, as well as others interested in studying or exploring the potential of exploiting deep learning algorithms. It will also be of special interest to researchers in the area of AI, pattern recognition, machine learning and related areas, alongside engineers interested in applying deep learning models in existing or new practical applications.
Machine Learning Fundamentals Theory Algorithms And Real World Applications
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Author : Dr.V.Kumaresan
language : en
Publisher: Leilani Katie Publication
Release Date : 2025-05-03
Machine Learning Fundamentals Theory Algorithms And Real World Applications written by Dr.V.Kumaresan and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-03 with Computers categories.
Dr.V.Kumaresan, Assistant Professor, Department of Computer Science, Arignar Anna Government Arts College, Namakkal, Tamil Nadu, India. Dr. Mukta Makhija, Professor, Assistant Dean - IT, Head - Research and Innovation Cell, Department of Computer Applications, Integrated Academy of Management and Technology((INMANTEC), Ghaziabad, Uttar Pradesh, India. Prof.Kamal Nain, Assistant Professor, Department of Information Technology, Integrated Academy of Management and Technology (INMANTEC), Ghaziabad, Uttar Pradesh, India. Dr.V.A.Jane, Assistant Professor, Department of B.Voc SD and SA, St. Joseph's College (Autonomous), Tiruchirapalli , Tamil Nadu, India. Dr.G.Stephen, Assistant Librarian, St. Xavier's University, Kolkata, West Bengal.
Fundamentals Of Deep Learning
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Author : Nithin Buduma
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-05-16
Fundamentals Of Deep Learning written by Nithin Buduma and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-16 with Computers categories.
We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics. The updated second edition of this book describes the intuition behind these innovations without jargon or complexity. Python-proficient programmers, software engineering professionals, and computer science majors will be able to reimplement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best developers in the field. Learn the mathematics behind machine learning jargon Examine the foundations of machine learning and neural networks Manage problems that arise as you begin to make networks deeper Build neural networks that analyze complex images Perform effective dimensionality reduction using autoencoders Dive deep into sequence analysis to examine language Explore methods in interpreting complex machine learning models Gain theoretical and practical knowledge on generative modeling Understand the fundamentals of reinforcement learning