Basic Training for NVDA is the first module in the official set of NV Access training materials. The eBook extensively covers learning to use the free NVDA screen reader. Suitable for the new and existing user wishing to improve their proficiency. Practical activities are provided to practice each topic, and there is a review at the end of each section. Topics covered include: - Getting started with NVDA and Windows - Basic configuration - Writing and editing text - Document formatting - File management - Multi-tasking - Browsing the web - Using the review cursor and object navigation

You can learn trading penny stocks from the masses and become part of the 90% of traders who lose money in the stock market, or you can learn from the Best. The Complete Penny Stock Course is based on Timothy Sykes’, various training programs. His strategies have helped individuals like Tim Grittani, Michael Goode and Stephen Dux become millionaires within a couple of years. This course aims to teach you how to become a consistently profitable trader, by taking Tim’s profit-making strategies with penny stocks and presenting them in a well-structured learning format. You’ll start by getting acquainted with the concepts of market and trading psychology. Then you’ll get into the basics of day trading, how to manage your risk and the tools that will help you become profitable. Along the way, you’ll learn strategies and techniques to become consistent in your gains and develop your own trading techniques. What’s inside: - Managing expectations and understanding the market, - Understanding the psychology of trading and how it affects you, - Learning the basics of day trading, - Learning the mechanics of trading penny stocks, - Risk management and how to take safe positions, - How to trade through advanced techniques - Developing your own profitable trading strategy - Real world examples and case studies No prior trading experience is required.

Banksy, the Yes Men, Gandhi, Starhawk: the accumulated wisdom of decades of creative protest is now in the hands of the next generation of change-makers, thanks to Beautiful Trouble. Sophisticated enough for veteran activists, accessible enough for newbies, this compact pocket edition of the bestselling Beautiful Trouble is a book that’s both handy and inexpensive. Showcasing the synergies between artistic imagination and shrewd political strategy, this generously illustrated volume can easily be slipped into your pocket as you head out to the streets. This is for everyone who longs for a more beautiful, more just, more livable world – and wants to know how to get there. Includes a new introduction by the editors. Contributors include: Celia Alario • Andy Bichlbaum • Nadine Bloch • L. M. Bogad • Mike Bonnano • Andrew Boyd • Kevin Buckland • Doyle Canning • Samantha Corbin • Stephen Duncombe • Simon Enoch • Janice Fine • Lisa Fithian • Arun Gupta • Sarah Jaffe • John Jordan • Stephen Lerner • Zack Malitz • Nancy L. Mancias • Dave Oswald Mitchell • Tracey Mitchell • Mark Read • Patrick Reinsborough • Joshua Kahn Russell • Nathan Schneider • John Sellers • Matthew Skomarovsky • Jonathan Matthew Smucker • Starhawk • Eric Stoner • Harsha Walia

NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results "To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals." -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA "Ekman uses a learning technique that in our experience has proven pivotal to success—asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us." -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today's exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience. After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images. Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia. He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how DL frameworks make it easier to develop more complicated and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences Master NLP with sequence-to-sequence networks and the Transformer architecture Build applications for natural language translation and image captioning NVIDIA's invention of the GPU sparked the PC gaming market. The company's pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Morph Mastery is an accessible, practical guide designed to support learners with specific learning difficulties (SpLD) who are struggling with spelling, reading and vocabulary. It is an effective, research-based and fun solution for when phonics-based teaching has run its course. Understanding the morphological regularities in English helps to support both spelling and reading comprehension, yet there are few practical interventions that take a morphological approach. Morph Mastery combines this exciting new approach with tried-and-tested teaching methods that work. The activities in this book follow three engaging ninja-like characters, Prefa, Root and Sufa, who represent the three core components of morphology (prefixes, root words and suffixes) and use their sceptres to craft words. Key features include: • Exciting and engaging activities and games, designed to be used by individuals or small groups • Detailed, curriculum-linked assessments, enabling specific target setting • Photocopiable and downloadable activity sheets and resources Written in a user-friendly tone, for teaching assistants, teachers and other professionals with little or no specialist knowledge, this book is a must for any school with struggling readers and writers aged 9–13.