Speed Strength

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Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781720694625
Total Pages : 342 pages
Book Rating : 4.6/5 (946 download)

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Book Synopsis Speed Strength by : Joel Smith

Download or read book Speed Strength written by Joel Smith and published by Createspace Independent Publishing Platform. This book was released on 2018-12-06 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: In training speed, the most elusive athletic quality, what really works, and what doesn't? What are the components of sprinting itself that elites do, where amateurs falter? And how can we arrange all of this in a training medium that facilitates high performance? Speed Strength is the product of hundreds of athletes trained, thousands of hours of study, dozens of expert mentors, and an open mind. If you are interested in the answer to these questions, then Speed Strength is the book that holds the answers you are looking for, and much more.Joel Smith is the host of the Just Fly Performance Podcast and a track and strength coach of 13 years. As a track coach to national champions and Olympic champions as a strength coach, Joel has seen the elements of speed inside and out. Featuring the insight of over 25 field leaders, Speed Strength touches on the most important trainable elements of sprinting in a holistic and thorough manner.

Deep Learning for Coders with fastai and PyTorch

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Publisher : O'Reilly Media
ISBN 13 : 1492045497
Total Pages : 624 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Deep Learning for Coders with fastai and PyTorch by : Jeremy Howard

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Deep Learning

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Publisher : MIT Press
ISBN 13 : 0262035618
Total Pages : 801 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Deep Learning by : Ian Goodfellow

Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-18 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Deconstructing Depth of Knowledge

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Publisher : Solution Tree Press
ISBN 13 : 1951075161
Total Pages : 177 pages
Book Rating : 4.9/5 (51 download)

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Book Synopsis Deconstructing Depth of Knowledge by : Erik M. Francis

Download or read book Deconstructing Depth of Knowledge written by Erik M. Francis and published by Solution Tree Press. This book was released on 2021-11-05 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Depth of knowledge (DOK) has become a priority for many schools. But if your understanding of DOK is a little cloudy, you're not alone. This resource is your one-stop-shop for learning what it is, who it's for, and how to use and sustain it. Ultimately, you will discover how to plan and provide learning experiences that are academically rigorous, socially and emotionally supportive, and student responsive. Learn how DOK is a different, deeper way of approaching teaching and learning. Explore the different DOK levels and how they relate to instruction. Understand DOK's relationship with standards and assessment. Designate correct levels based on learning needs. Acquire strategies for helping students engage with DOK on a deeper level. Contents: Introduction: What Depth of Knowledge Is Not Chapter 1: What Exactly Is Depth of Knowledge? Chapter 2: What Are DOK Teaching and Learning Experiences? Chapter 3: How to Teach and Learn for Depth of Knowledge Chapter 4: How to Use Webb's DOK Levels as a Multi-Tiered System of Support Chapter 5: How to Deconstruct Learning Intentions for Depth of Knowledge Chapter 6: How to Designate the Depth of Knowledge Level Demanded Chapter 7: How to Construct DOK Learning Targets and Success Criteria Chapter 8: How to Ask and Address Good Questions for Depth of Knowledge Chapter 9: Let's Make a DOK! Conclusion References and Resources Index

Learning How to Learn

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Publisher : Penguin
ISBN 13 : 052550446X
Total Pages : 256 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis Learning How to Learn by : Barbara Oakley, PhD

Download or read book Learning How to Learn written by Barbara Oakley, PhD and published by Penguin. This book was released on 2018-08-07 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Working at Relational Depth in Counselling and Psychotherapy

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Publisher : SAGE
ISBN 13 : 1526416913
Total Pages : 248 pages
Book Rating : 4.5/5 (264 download)

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Book Synopsis Working at Relational Depth in Counselling and Psychotherapy by : Dave Mearns

Download or read book Working at Relational Depth in Counselling and Psychotherapy written by Dave Mearns and published by SAGE. This book was released on 2017-09-25 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Eagerly awaited by many counsellors and psychotherapists, this new edition includes an updated preface, new content on recent research and new developments and debates around relational depth, and new case studies. This groundbreaking text goes to the very heart of the therapeutic meeting between therapist and client. Focusing on the concept of ′relational depth′, the authors describe a form of encounter in which therapist and client experience profound feelings of contact and engagement with each other, and in which the client has an opportunity to explore whatever is experienced as most fundamental to her or his existence. The book has helped thousands of trainees and practitioners understand how to facilitate a relationally-deep encounter, identify the personal ‘blocks’ that may be encountered along the way, and consider new therapeutic concepts – such as ′holistic listening′ – that help them to meet their clients at this level. This classic text remains a source of fresh thinking and stimulating ideas about the therapeutic encounter which is relevant to trainees and practitioners of all orientations.

Machine Learning in Finance

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Publisher : Springer Nature
ISBN 13 : 3030410684
Total Pages : 565 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Machine Learning in Finance by : Matthew F. Dixon

Download or read book Machine Learning in Finance written by Matthew F. Dixon and published by Springer Nature. This book was released on 2020-07-01 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.

RGB-D Image Analysis and Processing

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Publisher : Springer Nature
ISBN 13 : 3030286037
Total Pages : 524 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis RGB-D Image Analysis and Processing by : Paul L. Rosin

Download or read book RGB-D Image Analysis and Processing written by Paul L. Rosin and published by Springer Nature. This book was released on 2019-10-26 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the fundamentals and recent advances in RGB-D imaging as well as covering a range of RGB-D applications. The topics covered include: data acquisition, data quality assessment, filling holes, 3D reconstruction, SLAM, multiple depth camera systems, segmentation, object detection, salience detection, pose estimation, geometric modelling, fall detection, autonomous driving, motor rehabilitation therapy, people counting and cognitive service robots. The availability of cheap RGB-D sensors has led to an explosion over the last five years in the capture and application of colour plus depth data. The addition of depth data to regular RGB images vastly increases the range of applications, and has resulted in a demand for robust and real-time processing of RGB-D data. There remain many technical challenges, and RGB-D image processing is an ongoing research area. This book covers the full state of the art, and consists of a series of chapters by internationally renowned experts in the field. Each chapter is written so as to provide a detailed overview of that topic. RGB-D Image Analysis and Processing will enable both students and professional developers alike to quickly get up to speed with contemporary techniques, and apply RGB-D imaging in their own projects.

Learning in Depth

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Publisher : University of Chicago Press
ISBN 13 : 0226190439
Total Pages : 231 pages
Book Rating : 4.2/5 (261 download)

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Book Synopsis Learning in Depth by : Kieran Egan

Download or read book Learning in Depth written by Kieran Egan and published by University of Chicago Press. This book was released on 2010 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real education, Egan Explains, consists of both general knowledge and detailed understanding, and in Learning in Depth he outlines an ambitious, yet practical plan to incorporate deep knowledge into basic education. Under Egan's program, students will follow the usual curriculum, but with one crucial addition: beginning with their first days of school and continuing until graduation, they will each also study one topic-such as apples, birds, sacred buildings, mollusks, circuses, or stars-in depth. Over the years, with the help and guidance of their supervising teacher, students will expand their understanding of their one topic and build portfolios of knowledge that grow and change along with them. By the time they graduate each student will know as much about his or her topic as almost anyone on earth-and in the process will have learned important, even life-changing lessons about the meaning of expertise, the value of dedication, and the delight of knowing something in depth. --

Pattern Recognition and Computer Vision

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Publisher : Springer Nature
ISBN 13 : 3030606333
Total Pages : 789 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Pattern Recognition and Computer Vision by : Yuxin Peng

Download or read book Pattern Recognition and Computer Vision written by Yuxin Peng and published by Springer Nature. This book was released on 2020-10-11 with total page 789 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020. The 158 full papers presented were carefully reviewed and selected from 402 submissions. The papers have been organized in the following topical sections: Part I: Computer Vision and Application, Part II: Pattern Recognition and Application, Part III: Machine Learning.

"Code of Massachusetts regulations, 2014"

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Publisher :
ISBN 13 :
Total Pages : 398 pages
Book Rating : 4.:/5 ( download)

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Book Synopsis "Code of Massachusetts regulations, 2014" by :

Download or read book "Code of Massachusetts regulations, 2014" written by and published by . This book was released on 2015 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Archival snapshot of entire looseleaf Code of Massachusetts Regulations held by the Social Law Library of Massachusetts as of January 2015.

"Code of Massachusetts regulations, 2013"

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Publisher :
ISBN 13 :
Total Pages : 368 pages
Book Rating : 4.:/5 ( download)

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Book Synopsis "Code of Massachusetts regulations, 2013" by :

Download or read book "Code of Massachusetts regulations, 2013" written by and published by . This book was released on 2014 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Archival snapshot of entire looseleaf Code of Massachusetts Regulations held by the Social Law Library of Massachusetts as of January 2014.

Deep Learning in Visual Computing

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Publisher : CRC Press
ISBN 13 : 1000625451
Total Pages : 144 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Deep Learning in Visual Computing by : Hassan Ugail

Download or read book Deep Learning in Visual Computing written by Hassan Ugail and published by CRC Press. This book was released on 2022-07-07 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is an artificially intelligent entity that teaches itself and can be utilized to make predictions. Deep learning mimics the human brain and provides learned solutions addressing many challenging problems in the area of visual computing. From object recognition to image classification for diagnostics, deep learning has shown the power of artificial deep neural networks in solving real world visual computing problems with super-human accuracy. The introduction of deep learning into the field of visual computing has meant to be the death of most of the traditional image processing and computer vision techniques. Today, deep learning is considered to be the most powerful, accurate, efficient and effective method with the potential to solve many of the most challenging problems in visual computing. This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine learning. It introduces readers to the world of deep neural network architectures with easy-to-understand explanations. From face recognition to image classification for diagnosis of cancer, the book provides unique examples of solved problems in applied visual computing using deep learning. Interested and enthusiastic readers of modern machine learning methods will find this book easy to follow. They will find it a handy guide for designing and implementing their own projects in the field of visual computing.

The Encyclopaedia Britannica: Ref to Shu

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Publisher :
ISBN 13 :
Total Pages : 1088 pages
Book Rating : 4.A/5 ( download)

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Book Synopsis The Encyclopaedia Britannica: Ref to Shu by :

Download or read book The Encyclopaedia Britannica: Ref to Shu written by and published by . This book was released on 1911 with total page 1088 pages. Available in PDF, EPUB and Kindle. Book excerpt:

"Code of Massachusetts regulations, 2015"

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Publisher :
ISBN 13 :
Total Pages : 402 pages
Book Rating : 4.:/5 ( download)

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Book Synopsis "Code of Massachusetts regulations, 2015" by :

Download or read book "Code of Massachusetts regulations, 2015" written by and published by . This book was released on 2016 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Archival snapshot of entire looseleaf Code of Massachusetts Regulations held by the Social Law Library of Massachusetts as of January 2016.

"Code of Massachusetts regulations, 2011"

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Publisher :
ISBN 13 :
Total Pages : 334 pages
Book Rating : 4.:/5 ( download)

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Book Synopsis "Code of Massachusetts regulations, 2011" by :

Download or read book "Code of Massachusetts regulations, 2011" written by and published by . This book was released on 2012 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Archival snapshot of entire looseleaf Code of Massachusetts Regulations held by the Social Law Library of Massachusetts as of January 2020.

The Encyclopedia Britannica

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Publisher :
ISBN 13 :
Total Pages : 1090 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis The Encyclopedia Britannica by :

Download or read book The Encyclopedia Britannica written by and published by . This book was released on 1911 with total page 1090 pages. Available in PDF, EPUB and Kindle. Book excerpt: