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

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

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.

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 258 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.

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.

Download or read book Deep Work written by Cal Newport and published by Grand Central Publishing. This book was released on 2016-01-05 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: AN AMAZON BEST BOOK OF 2O16 PICK IN BUSINESS & LEADERSHIP WALL STREET JOURNAL BUSINESS BESTSELLER A BUSINESS BOOK OF THE WEEK AT 800-CEO-READ Master one of our economy’s most rare skills and achieve groundbreaking results with this “exciting” book (Daniel H. Pink) from an “exceptional” author (New York Times Book Review). Deep work is the ability to focus without distraction on a cognitively demanding task. It's a skill that allows you to quickly master complicated information and produce better results in less time. Deep Work will make you better at what you do and provide the sense of true fulfillment that comes from craftsmanship. In short, deep work is like a super power in our increasingly competitive twenty-first century economy. And yet, most people have lost the ability to go deep-spending their days instead in a frantic blur of e-mail and social media, not even realizing there's a better way. In Deep Work, author and professor Cal Newport flips the narrative on impact in a connected age. Instead of arguing distraction is bad, he instead celebrates the power of its opposite. Dividing this book into two parts, he first makes the case that in almost any profession, cultivating a deep work ethic will produce massive benefits. He then presents a rigorous training regimen, presented as a series of four "rules," for transforming your mind and habits to support this skill. 1. Work Deeply 2. Embrace Boredom 3. Quit Social Media 4. Drain the Shallows A mix of cultural criticism and actionable advice, Deep Work takes the reader on a journey through memorable stories-from Carl Jung building a stone tower in the woods to focus his mind, to a social media pioneer buying a round-trip business class ticket to Tokyo to write a book free from distraction in the air-and no-nonsense advice, such as the claim that most serious professionals should quit social media and that you should practice being bored. Deep Work is an indispensable guide to anyone seeking focused success in a distracted world.

Download or read book The Importance of Proper Training written by Ethelda Hagre and published by CreateSpace. This book was released on 2014-12-25 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now that you have understood what affiliated offers are and how they can be used for introductory products to your prospective customers, help your team understand affiliations through proper training.

Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 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.

Download or read book Training written by United States. Surgeon-General's Office and published by . This book was released on 1927 with total page 1238 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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.

Download or read book Great Teams written by Don Yaeger and published by HarperChristian + ORM. This book was released on 2016-07-19 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: What makes a team great? Not just good and not just functional—but great? Over six years, long-time Sports Illustrated editor Don Yaeger was invited by some of the greatest companies in the world to speak about the habits of high-performing individuals. From Microsoft and Starbucks to the New England Patriots and San Antonio Spurs, what do some organizations do seemingly better than most of their opponents? Don took the challenge. He began building into his travel schedule opportunities to interview our generation’s greatest team builders from the sports and business worlds. During this process, he conducted more than 100 interviews with some of the most successful teams and organizations in the country. From those interviews, Don identified 16 habits that drive these high-performing teams. Building on the stories, examples, and first-hand accounts, each chapter in Great Teams comes with applicable examples on how to apply these characteristics in any organization. Great Teams includes: Life lessons from some of the most notable names in sports and business applied to team-making in any situation Interviews from well-known players from Peyton and Eli Manning to Kevin Durant Skills to allow culture to shape who you recruit, manage dysfunction, friction, and strong personalities Advice on how to win in critical situations, embrace change, build a mentoring culture, and see value others miss Great Teams is the ultimate intersection of the sports and business worlds and a powerful companion for thought leaders, teams, managers, and organizations that seek to perform similarly. The insight shared in this book is sure to enhance any team in its pursuit of excellence.

Download or read book Training in Depth Interviewing written by William W. Banaka and published by . This book was released on 1971 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Gifted Guild s Guide to Depth and Complexity written by Lisa Van Gemert and published by . This book was released on 2019-10-16 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Definitive Guide to Depth and Complexity After successfully using the framework themselves, writing about it on their websites, and facilitating hundreds of hours of training, Ian Byrd and Lisa Van Gemert are bringing you an approachable, comprehensive guide to Depth and Complexity. In it, Ian and Lisa share 27 bite-sized chapters that will help you: * Show educators exactly how the framework works in a real, live classroom * Teach you what you need to know about all aspects of the framework * Address special situations, like working with early elementary grades and planning * Take you further in your Depth and Complexity practice than you ever thought possible You will gain a deep understanding By the end of The Gifted Guild's Guide to Depth and Complexity, you will understand the framework, how it fits in your classroom, what parts you may wish to ignore, how to change what you don't like about how you're currently using it, and why it's the tool you need to blow the ceiling off of your classroom.

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.

Download or read book Depth Oriented Brief Therapy written by Bruce Ecker and published by John Wiley & Sons. This book was released on 1995-11-07 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reach a new stage in brief therapy Is it possible for clinicians to provide in-depth therapy in the cost-conscious, time-limited world of managed care? This groundbreaking book offers clinicians new hope of maintaining professional satisfaction in time-effective practice. Authors Bruce Ecker and Laurel Hulley provide a practical guide for clinicians on how to work deeply and briefly with individuals, couples, and families, and shows how to meet the challenge of managed care without losing the deeper levels of change traditionally associated with long-term or existential work. By using Depth-Oriented Brief Therapy, you'll work directly and immediately with the emotional and unconscious meanings that structure the very existence of the presenting problem.

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.

Download or read book Ultralearning written by Scott Young and published by HarperCollins. This book was released on 2019-08-06 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now a Wall Street Journal bestseller. Learn a new talent, stay relevant, reinvent yourself, and adapt to whatever the workplace throws your way. Ultralearning offers nine principles to master hard skills quickly. This is the essential guide to future-proof your career and maximize your competitive advantage through self-education. In these tumultuous times of economic and technological change, staying ahead depends on continual self-education—a lifelong mastery of fresh ideas, subjects, and skills. If you want to accomplish more and stand apart from everyone else, you need to become an ultralearner. The challenge of learning new skills is that you think you already know how best to learn, as you did as a student, so you rerun old routines and old ways of solving problems. To counter that, Ultralearning offers powerful strategies to break you out of those mental ruts and introduces new training methods to help you push through to higher levels of retention. Scott H. Young incorporates the latest research about the most effective learning methods and the stories of other ultralearners like himself—among them Benjamin Franklin, chess grandmaster Judit Polgár, and Nobel laureate physicist Richard Feynman, as well as a host of others, such as little-known modern polymath Nigel Richards, who won the French World Scrabble Championship—without knowing French. Young documents the methods he and others have used to acquire knowledge and shows that, far from being an obscure skill limited to aggressive autodidacts, ultralearning is a powerful tool anyone can use to improve their career, studies, and life. Ultralearning explores this fascinating subculture, shares a proven framework for a successful ultralearning project, and offers insights into how you can organize and exe - cute a plan to learn anything deeply and quickly, without teachers or budget-busting tuition costs. Whether the goal is to be fluent in a language (or ten languages), earn the equivalent of a college degree in a fraction of the time, or master multiple tools to build a product or business from the ground up, the principles in Ultralearning will guide you to success.