Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python. About This Book Explore and create intelligent systems using cutting-edge deep learning techniques Implement deep learning algorithms and work with revolutionary libraries in Python Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and more Who This Book Is For This book is for Data Science practitioners as well as aspirants who have a basic foundational understanding of Machine Learning concepts and some programming experience with Python. A mathematical background with a conceptual understanding of calculus and statistics is also desired. What You Will Learn Get a practical deep dive into deep learning algorithms Explore deep learning further with Theano, Caffe, Keras, and TensorFlow Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines Dive into Deep Belief Nets and Deep Neural Networks Discover more deep learning algorithms with Dropout and Convolutional Neural Networks Get to know device strategies so you can use deep learning algorithms and libraries in the real world In Detail With an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries. The book will give you all the practical information available on the subject, including the best practices, using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results. Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data with greater accuracy and discussing deep learning algorithms and techniques. Whether you want to dive deeper into Deep Learning, or want to investigate how to get more out of this powerful technology, you'll find everything inside. Style and approach Python Machine Learning by example follows practical hands on approach. It walks you through the key elements of Python and its powerful machine learning libraries with the help of real world projects.
Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer vision and NLP Learn how a computer can navigate in complex environments with reinforcement learning Book DescriptionWith the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you’ll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You’ll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You’ll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you’ll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications.What you will learn Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer vision challenges using convolutional networks and capsule networks Solve generative tasks using variational autoencoders and Generative Adversarial Networks Implement complex NLP tasks using recurrent networks (LSTM and GRU) and attention models Explore reinforcement learning and understand how agents behave in a complex environment Get up to date with applications of deep learning in autonomous vehicles Who this book is for This book is for data science practitioners, machine learning engineers, and those interested in deep learning who have a basic foundation in machine learning and some Python programming experience. A background in mathematics and conceptual understanding of calculus and statistics will help you gain maximum benefit from this book.
Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.About This Book* Explore and create intelligent systems using cutting-edge deep learning techniques* Implement deep learning algorithms and work with revolutionary libraries in Python* Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and moreWho This Book Is ForThis book is for Data Science practitioners as well as aspirants who have a basic foundational understanding of Machine Learning concepts and some programming experience with Python. A mathematical background with a conceptual understanding of calculus and statistics is also desired.What You Will Learn* Get a practical deep dive into deep learning algorithms* Explore deep learning further with Theano, Caffe, Keras, and TensorFlow* Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines* Dive into Deep Belief Nets and Deep Neural Networks* Discover more deep learning algorithms with Dropout and Convolutional Neural Networks* Get to know device strategies so you can use deep learning algorithms and libraries in the real worldIn DetailWith an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries.The book will give you all the practical information available on the subject, including the best practices, using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results.Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data with greater accuracy and discussing deep learning algorithms and techniques.Whether you want to dive deeper into Deep Learning, or want to investigate how to get more out of this powerful technology, you'll find everything inside.Style and approachPython Machine Learning by example follows practical hands on approach. It walks you through the key elements of Python and its powerful machine learning libraries with the help of real world projects.
This pathbreaking book is the first to provide a rigorous and comprehensive examination of Internet culture and consumption. A rich ethnography of Internet use, the book offers a sustained account not just of being online, but of the social, political and cultural contexts which account for the contemporary Internet experience. From cybercafes to businesses, from middle class houses to squatters settlements, from the political economy of Internet provision to the development of ecommerce, the authors have gathered a wealth of material based on fieldwork in Trinidad. Looking at the full range of Internet media -- including websites, email and chat -- the book brings out unforeseen consequences and contradictions in areas as varied as personal relations, commerce, nationalism, sex and religion. This is the first book-length treatment of the impact of the Internet on a particular region. By focusing on one place, it demonstrates the potential for a comprehensive approach to new media. It points to the future direction of Internet research, proposing a detailed agenda for comparative ethnographic study of the cultural significance and effects of the Internet in modern society. Clearly written for the non-specialist reader, it offers a detailed account of the complex integration between on-line and off-line worlds. An innovative tie-in with the book's own website provides copious illustrations amounting to over 2,000 web-pages that bring the material right to your computer.
A varied and fascinating look at sin, confession and pardon in Judaism. Through a series of lively introductions and commentaries, almost forty contributors—men and women, scholars, rabbis, theologians and poets, representing all Jewish denominations—examine the history of confession in Judaism, its roots in the Bible, its evolution in rabbinic and modern thought, and the very nature of confession for men and women today. Featuring the traditional prayers—provided in the original Hebrew and a new and annotated translation—this third volume in the Prayers of Awe series explores the relevance of confession today in what is bound to be the most up-to-date, comprehensive and insightful reconsideration of sin and confession in Judaism.
The most memorable prayer of the Jewish New Year—what it means, why we sing it, and the secret of its magical appeal. Through a series of lively commentaries, over thirty contributors—men and women, scholars and rabbis, artists and poets, spanning three continents and all major Jewish denominations—examine Kol Nidre's theology, usage, and deeply personal impact. They trace the actual history of the prayer and attempts through the ages to emend it, downplay it and even do away with it—all in vain. They explore why Kol Nidre remains an annual liturgical highlight that is regularly attended even by Jews who disbelieve everything the prayer says. Prayers of Awe An exciting new series that examines the High Holy Day liturgy to enrich the praying experience of everyone—whether experienced worshipers or guests who encounter Jewish prayer for the very first time.
David Slater, Professor of Islam History, finally broke the centuries old code of the Caprotti Manuscripts. One contained a bombshell: two scrolls were buried in the royal tombs at Axum, Ethiopia, which could prove that there was a missing chapter of the Koran. The verses proclaimed that only descendants of the Prophet should lead Islam as the Caliph, the Successor. All Muslims must obey this Caliph. Who would he be today?The world was on the brink of war. The Supreme Jihad, a confederation of fanatical Muslim states, was preparing to invade what they claimed were stolen Muslim lands in Europe, Kuwait, Russia and Kashmir.David Slater held the key to war or peace. After evading Supreme Jihad commandos who had tried to kill him in Axum, he fled with one scroll in the company of the beautiful, black Falasha Jewess, Mariam, a secret Mossad agent. Supreme Jihad assassins, Israeli and American allies, and the Sabiya Imam, the person best placed to become the Successor, all wanted David's scroll. What would he do?
Today's Best Practice In Your Pocket 5 STAR DOODY'S REVIEW! (of a previous edition) "The audience includes everyone who cares for patients, be they primary care clinicians, students, or residents in training. The editors, well known academic clinicians, have done a wonderful job....This is a valuable addition to every primary care clinician's personal library at a very reasonable price."--Doody's Review Service This handy, pocket-sized guide draws information from many sources and presents them in an easy-to-use, comprehensive package for use by any primary care clinician. It offers quick-access to the latest guidelines for the most appropriate preventive services, screening methods, and treatment approaches commonly encountered in the outpatient setting. Features: Updated annually Screening, prevention, and treatment guidelines for more than 60 common outpatient conditions Content drawn from the most reliable sources: government agencies, medical and scientific organizations, and expert panels Easy-to-follow guideline-based algorithms speed clinical decision-making Immunization schedule for children Website addresses for U.S. government agencies and professional organizations NEW TO THIS EDITION: Major updates to disease management guidelines More international guidelines All This in One Amazingly Complete Guide: Disease Screening: Abdominal Aortic Aneurysm, Alcohol Abuse & Dependence, Anemia, Attention-Getting/Hyperactivity Disorder, Cancer, Carotid Artery Stenosis, Chlamydial Infection, Cholesterol & Lipid Disorders, Coronary Artery Disease, Dementia, Depression, Developmental Dysplasia of the Hip, Diabetes Mellitus, Falls in the Elderly, Family Violence & Abuse, Gonorrhea, Asymptomatic Infection, Hearing Impairment, Hemochromatosis, Hepatitis B Virus, Hepatitis C Virus, Herpes Simplex(Genital), Human Immunodeficiency Virus, Hypertension, Chronic Kidney Disease, Lead Poisoning, Obesity, Osteoporosis, Speech & Language Delay, Syphilis, Thyroid Disease, Tobacco Use, Latent Tuberculosis, Visual Impairment, Glaucoma, Cataract, Disease Prevention, Primary Prevention of Cancer: NCI Evidence Summary, Diabetes (Type 2), Endocarditis, Falls in the Elderly, Hypertension, Myocardial Infarction, Osteoporotic Hip Fracture, Stroke, Disease Management, Alcohol Dependence, Asthma, Atrial Fibrulation, Cancer Survivorship, Carotid Artery Stenosis, Cataract in Adults, Cholesterol & Lipid Management, COPD Management, Coronary Artery Disease, Depression, Diabetes Mellitus, Heart Failure, Hypertension, Metabolic Syndrome, Obesity Management, Osteoporosis Management, Palliative & End-of-Life Care, Pap Smear Abnormalities, Perioperative Cardiovascular Evaluation, Perioperative Pulmonary Assessment, Pneumonia, Community-Acquired, Pregnancy, Tobacco Cessation, Upper Respiratory Tract Infection, Urinary Tract Infections in Women, Appendices: Appendix I: Screening Instruments, Appendix II: Functional Assessment Screening in the Elderly, Appendix III: Screening and Prevention Guidelines in Perspective, Appendix IV: 95th Percentile of Blood Pressure, Appendix V: Body Mass Index Conversion Table, Appendix VI: Cardiac Risk--Framingham Study, Appendix VII: Estimate of 10-Year Stroke Risk, Appendix VIII: Immunization Schedules, Appendix IX: Professional Societies & Governmental, Agencies Acronyms & Internet Sites
Guidelines for more than 60 common outpatient conditions drawn from the most reliable sources CURRENT Practice Guidelines in Primary Care 2016 provides you with quick access to screening, prevention, and treatment guidelines for more than 60 common outpatient conditions. Content is drawn from a wide array of recommendations from government agencies, expert panels, medical specialty organizations, and other professional and scientific organizations. CURRENT Practice Guidelines in Primary Care 2016 contains more than thirty brand-new topics that healthcare providers must know, making this an essential clinical companion in the primary care setting. Each topic is carefully selected for relevance to the office practice of ambulatory medicine, and the text overflows with clinical pearls, easy-to-apply take home points, and guideline-based algorithms designed to simplify clinical decision-making. Spans all areas of general outpatient medicine Updated evidence-based content Website addresses for U.S. government agencies and professional societies More than thirty new topics offer the latest clinical perspectives on primary care practice
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