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 English | 2022 | ISBN: 180056161X | 364 pages | True PDF EPUB | 36.75 MB Build, train, deploy, and scale deep learning models quickly and accurately, improving your productivity using the lightweight PyTorch Wrapper  English | 2022 | ISBN: 0367549638 | 140 pages | True PDF EPUB | 10.15 MB 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. This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine learning.  English | 2022 | ISBN: 0128238224 | 382 pages | True pdf, epub | 112.49 MB Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces the topic in an easy-to-understand way, exploring how it can be utilized for addressing important problems in bioinformatics, including drug discovery, de novo molecular design, sequence analysis, protein structure prediction, gene expression regulation, protein classification, biomedical image processing and diagnosis, biomolecule interaction prediction, and in systems biology. The book also presents theoretical and practical successes of deep learning in bioinformatics, pointing out problems and suggesting future research directions. Dr. Izadkhah provides valuable insights and will help researchers use deep learning techniques in their biological and bioinformatics studies.  English | 2022 | ISBN: 3030981312| 525 pages | True PDF EPUB | 81.52 MB Health threats pose significant dangers to humankind and form a major source of human suffering and sorrow. Responsible leadership and reasoned decision making can significantly improve the arenas that are affected by health threats, through establishing a better allocation of very scarce resources for building health capabilities and for increasing health preparedness, responsiveness and resilience.
 English | 2022 | ISBN: 1647429005 | 308 pages | True EPUB | 1.61 MB When Amy Daughters reconnected with her old pal Dana on Facebook, she had no idea how it would change her life. Though the two women hadn't had any contact in thirty years, it didn't take them long to catch up—and when Amy learned that Dana's son Parker was doing a second stint at St. Jude battling cancer, she was suddenly inspired to begin writing the pair weekly letters.  English | 2022 | ISBN: 1683928202 | 246 pages | PDF | 1.9 MB As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computer languages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistical concepts, data-related techniques, features of Pandas, RDBMS, SQL, NLP topics, Matplotlib, and data visualization. Companion files with source code and color figures are available. FEATURES: * Covers Pandas, RDBMS, NLP, data cleaning, SQL, and data visualization * Introduces probability and statistical concepts * Features numerous code samples throughout * Includes companion files with source code and figures
 English | 2022 | ISBN: 0593329236 | 281 pages | True EPUB | 25.71 MB "A triumph of investigative journalism." —Tom Wright,New York Timesbestselling coauthor ofBillion Dollar Whale  English | 2022 | ISBN: 1071885219 | 161 pages | True PDF EPUB | 25.89 MB When it comes to school initiatives, more isn't always better.  English | 2022 | ISBN: 1284231585 | 682 pages | True EPUB | 62.7 MB Databases Illuminated, Fourth Edition is designed to help students integrate theoretical material with practical knowledge, using an approach that applies theory to practical database implementation. The text helps students understand the difference between traditional database technology and the new directions created by big data, outlining motivation, fundamental concepts, technologies, and challenges associated with handling large datasets. |
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