Download or read book Pocket Guide to Key Social Security Rulings Notebook and CD written by Sarah H. Bohr and published by . This book was released on 2014-08-10 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotates 60 of the most common rulings used in adjudicating Social Security disability cases, including rulings on impairments such as fibromyalgia, chronic fatigue syndrome, diabetes, obesity and other impairments. Widely used by Social Security representatives as well as hearing office staff. This publication includes a searchable CD of the book which is Mac and PC compatible.
Download or read book Pocket Guide to Mobile Connectivity written by Edward G Hinkelman and published by World Trade Press. This book was released on 2004 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Understanding SSI Supplemental Security Income written by and published by DIANE Publishing. This book was released on 1998-03 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: This publication informs advocates & others in interested agencies & organizations about supplemental security income (SSI) eligibility requirements & processes. It will assist you in helping people apply for, establish eligibility for, & continue to receive SSI benefits for as long as they remain eligible. This publication can also be used as a training manual & as a reference tool. Discusses those who are blind or disabled, living arrangements, overpayments, the appeals process, application process, eligibility requirements, SSI resources, documents you will need when you apply, work incentives, & much more.
Download or read book Pocket Guide to Social Security Disability Law Notebook and CD written by Sarah H. Bohr and published by . This book was released on 2014-11-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Great for those new to the practice as it provides a helpful overview of Social Security disability law. Includes current regulations on determining disability. Provides a handy checklist to help you create a winning theory of your case. This publication includes a searchable CD of the book which is Mac and PC compatible.
Download or read book Nolo s Guide to Social Security Disability written by David A. Morton and published by NOLO. This book was released on 2003 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Security disability is an enormous program, with hundreds of thousands of people participating each year. Consequently, it's easy for both participants and first-time applicants to get lost in the system's bureaucracy.Nolo's Guide to Social Security Disability is an essential book for anyone dealing with a long-term or permanent disability. Written both for first-time applicants and those who already receive Social Security disability, Dr. David Morton's book demystifies the program in plain English, thoroughly explaining:* what Social Security disability is* what benefits are available to disabled children* how to prove a disability* how age, education and work experience affect benefits* whether or not one can work while receiving benefits* how to appeal a denial of benefits* how to respond to a Continuing Disability Review* and much more
Download or read book California Courts and Judges written by and published by . This book was released on 2009 with total page 762 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Rulings written by United States. Social Security Administration and published by . This book was released on 1983 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social security rulings on federal old-age, survivors, disability, and supplemental security income; and black lung benefits.
Download or read book CSI for the First Responder written by Jan LeMay and published by CRC Press. This book was released on 2017-09-11 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Critical to the successful apprehension and prosecution of criminals, the job of collecting evidence at a crime scene requires knowledge, technical skills, patience, and perseverance. Often this task falls on just one individual the officer on routine patrol duties who is the first to arrive at the scene of a crime. Written by an expert with seve
Download or read book Natural Language Processing with Transformers Revised Edition written by Lewis Tunstall and published by "O'Reilly Media, Inc.". This book was released on 2022-05-26 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how transformers can be used for cross-lingual transfer learning Apply transformers in real-world scenarios where labeled data is scarce Make transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments
Download or read book Machine Learning with PyTorch and Scikit Learn written by Sebastian Raschka and published by Packt Publishing Ltd. This book was released on 2022-02-25 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.
Download or read book Bayesian Methods for Hackers written by Cameron Davidson-Pilon and published by Addison-Wesley Professional. This book was released on 2015-09-30 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice–freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You’ll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you’ve mastered these techniques, you’ll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes • Learning the Bayesian “state of mind” and its practical implications • Understanding how computers perform Bayesian inference • Using the PyMC Python library to program Bayesian analyses • Building and debugging models with PyMC • Testing your model’s “goodness of fit” • Opening the “black box” of the Markov Chain Monte Carlo algorithm to see how and why it works • Leveraging the power of the “Law of Large Numbers” • Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning • Using loss functions to measure an estimate’s weaknesses based on your goals and desired outcomes • Selecting appropriate priors and understanding how their influence changes with dataset size • Overcoming the “exploration versus exploitation” dilemma: deciding when “pretty good” is good enough • Using Bayesian inference to improve A/B testing • Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.
Download or read book Deep Learning with Python written by Francois Chollet and published by Simon and Schuster. This book was released on 2017-11-30 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance
Download or read book Safeguarding Your Technology written by Tom Szuba and published by . This book was released on 1998 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Little Black Book of Scams written by Industry Canada and published by Competition Bureau Canada. This book was released on 2014-03-10 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Canadian edition of The Little Black Book of Scams is a compact and easy to use reference guide filled with information Canadians can use to protect themselves against a variety of common scams. It debunks common myths about scams, provides contact information for reporting a scam to the correct authority, and offers a step-by-step guide for scam victims to reduce their losses and avoid becoming repeat victims. Consumers and businesses can consult The Little Black Book of Scams to avoid falling victim to social media and mobile phone scams, fake charities and lotteries, dating and romance scams, and many other schemes used to defraud Canadians of their money and personal information.
Download or read book Inclusion Works written by Faye Ong and published by Hippocrene Books. This book was released on 2009 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Guide to SSI for Groups and Organizations written by and published by . This book was released on 1989 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Information Retrieval written by Christopher D. Manning and published by Cambridge University Press. This book was released on 2008-07-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
