Applied Machine Learning For Health And Fitness

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Applied Machine Learning for Health and Fitness

Author : Kevin Ashley
Publisher : Apress
ISBN 13 : 9781484257715
Total Pages : 0 pages
Book Rating : 4.2/5 (577 download)

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Book Synopsis Applied Machine Learning for Health and Fitness by : Kevin Ashley

Download or read book Applied Machine Learning for Health and Fitness written by Kevin Ashley and published by Apress. This book was released on 2020-08-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the world of using machine learning methods with deep computer vision, sensors and data in sports, health and fitness and other industries. Accompanied by practical step-by-step Python code samples and Jupyter notebooks, this comprehensive guide acts as a reference for a data scientist, machine learning practitioner or anyone interested in AI applications. These ML models and methods can be used to create solutions for AI enhanced coaching, judging, athletic performance improvement, movement analysis, simulations, in motion capture, gaming, cinema production and more. Packed with fun, practical applications for sports, machine learning models used in the book include supervised, unsupervised and cutting-edge reinforcement learning methods and models with popular tools like PyTorch, Tensorflow, Keras, OpenAI Gym and OpenCV. Author Kevin Ashley—who happens to be both a machine learning expert and a professional ski instructor—has written an insightful book that takes you on a journey of modern sport science and AI. Filled with thorough, engaging illustrations and dozens of real-life examples, this book is your next step to understanding the implementation of AI within the sports world and beyond. Whether you are a data scientist, a coach, an athlete, or simply a personal fitness enthusiast excited about connecting your findings with AI methods, the author’s practical expertise in both tech and sports is an undeniable asset for your learning process. Today’s data scientists are the future of athletics, and Applied Machine Learning for Health and Fitness hands you the knowledge you need to stay relevant in this rapidly growing space. What You'll Learn Use multiple data science tools and frameworks Apply deep computer vision and other machine learning methods for classification, semantic segmentation, and action recognition Build and train neural networks, reinforcement learning models and more Analyze multiple sporting activities with deep learning Use datasets available today for model training Use machine learning in the cloud to train and deploy models Apply best practices in machine learning and data science Who This Book Is For Primarily aimed at data scientists, coaches, sports enthusiasts and athletes interested in connecting sports with technology and AI methods.

Machine Learning in Cardiovascular Medicine

Author : Subhi J. Al'Aref
Publisher : Academic Press
ISBN 13 : 0128202742
Total Pages : 456 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Machine Learning in Cardiovascular Medicine by : Subhi J. Al'Aref

Download or read book Machine Learning in Cardiovascular Medicine written by Subhi J. Al'Aref and published by Academic Press. This book was released on 2020-11-20 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. Provides an overview of machine learning, both for a clinical and engineering audience Summarize recent advances in both cardiovascular medicine and artificial intelligence Discusses the advantages of using machine learning for outcomes research and image processing Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Machine Learning and AI for Healthcare

Author : Arjun Panesar
Publisher : Apress
ISBN 13 : 1484237994
Total Pages : 390 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Machine Learning and AI for Healthcare by : Arjun Panesar

Download or read book Machine Learning and AI for Healthcare written by Arjun Panesar and published by Apress. This book was released on 2019-02-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Applied Reinforcement Learning with Python

Author : Taweh Beysolow II
Publisher : Apress
ISBN 13 : 148425127X
Total Pages : 177 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Applied Reinforcement Learning with Python by : Taweh Beysolow II

Download or read book Applied Reinforcement Learning with Python written by Taweh Beysolow II and published by Apress. This book was released on 2019-08-23 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym. Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions. What You'll Learn Implement reinforcement learning with Python Work with AI frameworks such as OpenAI Gym, Tensorflow, and KerasDeploy and train reinforcement learning–based solutions via cloud resourcesApply practical applications of reinforcement learning Who This Book Is For Data scientists, machine learning engineers and software engineers familiar with machine learning and deep learning concepts.

Applied Genetic Programming and Machine Learning

Author : Hitoshi Iba
Publisher : CRC Press
ISBN 13 : 9781439803707
Total Pages : 349 pages
Book Rating : 4.8/5 (37 download)

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Book Synopsis Applied Genetic Programming and Machine Learning by : Hitoshi Iba

Download or read book Applied Genetic Programming and Machine Learning written by Hitoshi Iba and published by CRC Press. This book was released on 2009-08-26 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: What do financial data prediction, day-trading rule development, and bio-marker selection have in common? They are just a few of the tasks that could potentially be resolved with genetic programming and machine learning techniques. Written by leaders in this field, Applied Genetic Programming and Machine Learning delineates the extension of Genetic Programming (GP) for practical applications. Reflecting rapidly developing concepts and emerging paradigms, this book outlines how to use machine learning techniques, make learning operators that efficiently sample a search space, navigate the search process through the design of objective fitness functions, and examine the search performance of the evolutionary system. It provides a methodology for integrating GP and machine learning techniques, establishing a robust evolutionary framework for addressing tasks from areas such as chaotic time-series prediction, system identification, financial forecasting, classification, and data mining. The book provides a starting point for the research of extended GP frameworks with the integration of several machine learning schemes. Drawing on empirical studies taken from fields such as system identification, finanical engineering, and bio-informatics, it demonstrates how the proposed methodology can be useful in practical inductive problem solving.

Machine Learning in Team Sports

Author : Rabiu Muazu Musa
Publisher : Springer Nature
ISBN 13 : 9811532192
Total Pages : 68 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Machine Learning in Team Sports by : Rabiu Muazu Musa

Download or read book Machine Learning in Team Sports written by Rabiu Muazu Musa and published by Springer Nature. This book was released on 2020-02-17 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief highlights the application of performance analysis tools in data acquisition, and various machine learning algorithms for evaluating team performance as well as talent identification in beach soccer and sepak takraw. Numerous performance indicators and human performance parameters are considered based on their relevance to each sport. The findings presented here demonstrate that the key performance indicators as well as human performance parameters can be used in the future evaluation of team performance as well as talent identification in these sports. Accordingly, they offer a valuable resource for coaches, club managers, talent identification experts, performance analysts and other relevant stakeholders involved in performance assessments.

Applied Machine Learning for Healthcare and Life Sciences Using AWS

Author : Ujjwal Ratan
Publisher : Packt Publishing Ltd
ISBN 13 : 1804619191
Total Pages : 224 pages
Book Rating : 4.8/5 (46 download)

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Book Synopsis Applied Machine Learning for Healthcare and Life Sciences Using AWS by : Ujjwal Ratan

Download or read book Applied Machine Learning for Healthcare and Life Sciences Using AWS written by Ujjwal Ratan and published by Packt Publishing Ltd. This book was released on 2022-11-25 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build real-world artificial intelligence apps on AWS to overcome challenges faced by healthcare providers and payers, as well as pharmaceutical, life sciences research, and commercial organizations Key FeaturesLearn about healthcare industry challenges and how machine learning can solve themExplore AWS machine learning services and their applications in healthcare and life sciencesDiscover practical coding instructions to implement machine learning for healthcare and life sciencesBook Description While machine learning is not new, it's only now that we are beginning to uncover its true potential in the healthcare and life sciences industry. The availability of real-world datasets and access to better compute resources have helped researchers invent applications that utilize known AI techniques in every segment of this industry, such as providers, payers, drug discovery, and genomics. This book starts by summarizing the introductory concepts of machine learning and AWS machine learning services. You'll then go through chapters dedicated to each segment of the healthcare and life sciences industry. Each of these chapters has three key purposes -- First, to introduce each segment of the industry, its challenges, and the applications of machine learning relevant to that segment. Second, to help you get to grips with the features of the services available in the AWS machine learning stack like Amazon SageMaker and Amazon Comprehend Medical. Third, to enable you to apply your new skills to create an ML-driven solution to solve problems particular to that segment. The concluding chapters outline future industry trends and applications. By the end of this book, you'll be aware of key challenges faced in applying AI to healthcare and life sciences industry and learn how to address those challenges with confidence. What you will learnExplore the healthcare and life sciences industryFind out about the key applications of AI in different industry segmentsApply AI to medical images, clinical notes, and patient dataDiscover security, privacy, fairness, and explainability best practicesExplore the AWS ML stack and key AI services for the industryDevelop practical ML skills using code and AWS servicesDiscover all about industry regulatory requirementsWho this book is for This book is specifically tailored toward technology decision-makers, data scientists, machine learning engineers, and anyone who works in the data engineering role in healthcare and life sciences organizations. Whether you want to apply machine learning to overcome common challenges in the healthcare and life science industry or are looking to understand the broader industry AI trends and landscape, this book is for you. This book is filled with hands-on examples for you to try as you learn about new AWS AI concepts.

Computer Vision in Medical Imaging

Author : C H Chen
Publisher : World Scientific
ISBN 13 : 9814460958
Total Pages : 412 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Computer Vision in Medical Imaging by : C H Chen

Download or read book Computer Vision in Medical Imaging written by C H Chen and published by World Scientific. This book was released on 2013-11-18 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs. Contents:An Introduction to Computer Vision in Medical Imaging (Chi Hau Chen)Theory and Methodologies:Distribution Matching Approaches to Medical Image Segmentation (Ismail Ben Ayed)Digital Pathology in Medical Imaging (Bikash Sabata, Chukka Srinivas, Pascal Bamford and Gerardo Fernandez)Adaptive Shape Prior Modeling via Online Dictionary Learning (Shaoting Zhang, Yiqiang Zhan, Yan Zhou and Dimitris Metaxas)Feature-Centric Lesion Detection and Retrieval in Thoracic Images (Yang Song, Weidong Cai, Stefan Eberl, Michael J Fulham and David Dagan Feng)A Novel Paradigm for Quantitation from MR Phase (Joseph Dagher)A Multi-Resolution Active Contour Framework for Ultrasound Image Segmentation (Weiming Wang, Jing Qin, Pheng-Ann Heng, Yim-Pan Chui, Liang Li and Bing Nan Li)2D, 3D Reconstructions/Imaging Algorithms, Systems & Sensor Fusion:Model-Based Image Reconstruction in Optoacoustic Tomography (Amir Rosenthal, Daniel Razansky and Vasilis Ntziachristos)The Fusion of Three-Dimensional Quantitative Coronary Angiography and Intracoronary Imaging for Coronary Interventions (Shengxian Tu, Niels R Holm, Johannes P Janssen and Johan H C Reiber)Three-Dimensional Reconstruction Methods in Near-Field Coded Aperture for SPECT Imaging System (Stephen Baoming Hong)Ultrasound Volume Reconstruction based on Direct Frame Interpolation (Sergei Koptenko, Rachel Remlinger, Martin Lachaine, Tony Falco and Ulrich Scheipers)Deconvolution Technique for Enhancing and Classifying the Retinal Images (Uvais A Qidwai and Umair A Qidwai)Medical Ultrasound Digital Signal Processing in the GPU Computing Era (Marcin Lewandowski)Developing Medical Image Processing Algorithms for GPU Assisted Parallel Computation (Mathias Broxvall and Marios Daotis)Specific Image Processing and Computer Vision Methods for Different Imaging Modalities Including IVUS, MRI, etc.:Computer Vision in Interventional Cardiology (Kendall R Waters)Pattern Classification of Brain Diffusion MRI: Application to Schizophrenia Diagnosis (Ali Tabesh, Matthew J Hoptman, Debra D'Angelo and Babak A Ardekani)On Compressed Sensing Reconstruction for Magnetic Resonance Imaging (Benjamin Paul Berman, Sagar Mandava and Ali Bilgin)On Hierarchical Statistical Shape Models with Application to Brain MRI (Juan J Cerrolaza, Arantxa Villanueva and Rafael Cabeza)Advanced PDE-based Methods for Automatic Quantification of Cardiac Function and Scar from Magnetic Resonance Imaging (Durco Turco and Cristiana Corsi)Automated IVUS Segmentation Using Deformable Template Model with Feature Tracking (Prakash Manandhar and Chi Hau Chen) Readership: Researchers, professionals and academics in machine perception/computer vision, pattern recognition/image analysis, nuclear medicine, bioengineering & cardiology. Keywords:Medical Imaging;Computer Vision;Image Segmentation;Machine Learning;3D InformationKey Features:Uses computer vision techniques for medical imaging dataCovers image processing and segmentation algorithms in intravascular ultrasound, PETscan data, MRI dataEmphaisises 3D information extraction from medical imaging data

Applied Reinforcement Learning with Python

Author : Taweh Beysolow II
Publisher :
ISBN 13 : 9781484251287
Total Pages : 177 pages
Book Rating : 4.2/5 (512 download)

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Book Synopsis Applied Reinforcement Learning with Python by : Taweh Beysolow II

Download or read book Applied Reinforcement Learning with Python written by Taweh Beysolow II and published by . This book was released on 2019 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym. Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions. What You'll Learn Implement reinforcement learning with Python Work with AI frameworks such as OpenAI Gym, Tensorflow, and Keras Deploy and train reinforcement learning-based solutions via cloud resources Apply practical applications of reinforcement learning Who This Book Is For Data scientists, machine learning engineers and software engineers familiar with machine learning and deep learning concepts.

Mobile Technology for Adaptive Aging

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309680867
Total Pages : 147 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis Mobile Technology for Adaptive Aging by : National Academies of Sciences, Engineering, and Medicine

Download or read book Mobile Technology for Adaptive Aging written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2020-10-25 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: To explore how mobile technology can be employed to enhance the lives of older adults, the Board on Behavioral, Cognitive, and Sensory Sciences of the National Academies of Sciences, Engineering, and Medicine commissioned 6 papers, which were presented at a workshop held on December 11 and 12, 2019. These papers review research on mobile technologies and aging, and highlight promising avenues for further research.

Machine Learning with Health Care Perspective

Author : Vishal Jain
Publisher : Springer Nature
ISBN 13 : 3030408507
Total Pages : 418 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Machine Learning with Health Care Perspective by : Vishal Jain

Download or read book Machine Learning with Health Care Perspective written by Vishal Jain and published by Springer Nature. This book was released on 2020-03-09 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.

Natural Language Processing in the Real World

Author : Jyotika Singh
Publisher : CRC Press
ISBN 13 : 1000902315
Total Pages : 428 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Natural Language Processing in the Real World by : Jyotika Singh

Download or read book Natural Language Processing in the Real World written by Jyotika Singh and published by CRC Press. This book was released on 2023-07-03 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing in the Real World is a practical guide for applying data science and machine learning to build Natural Language Processing (NLP) solutions. Where traditional, academic-taught NLP is often accompanied by a data source or dataset to aid solution building, this book is situated in the real world where there may not be an existing rich dataset. This book covers the basic concepts behind NLP and text processing and discusses the applications across 15 industry verticals. From data sources and extraction to transformation and modelling, and classic Machine Learning to Deep Learning and Transformers, several popular applications of NLP are discussed and implemented. This book provides a hands-on and holistic guide for anyone looking to build NLP solutions, from students of Computer Science to those involved in large-scale industrial projects.

The One-Minute Workout

Author : Martin Gibala
Publisher : Penguin
ISBN 13 : 0399183663
Total Pages : 274 pages
Book Rating : 4.3/5 (991 download)

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Book Synopsis The One-Minute Workout by : Martin Gibala

Download or read book The One-Minute Workout written by Martin Gibala and published by Penguin. This book was released on 2017-02-07 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finally, the solution to the #1 reason we don’t exercise: time. Everyone has one minute. A decade ago, Martin Gibala was a young researcher in the field of exercise physiology—with little time to exercise. That critical point in his career launched a passion for high-intensity interval training (HIIT), allowing him to stay in shape with just a few minutes of hard effort. It also prompted Gibala to conduct experiments that helped launch the exploding science of ultralow-volume exercise. Now that he’s the worldwide guru of the science of time-efficient workouts, Gibala’s first book answers the ultimate question: How low can you go? Gibala’s fascinating quest for the answer makes exercise experts of us all. His work demonstrates that very short, intense bursts of exercise may be the most potent form of workout available. Gibala busts myths (“it’s only for really fit people”), explains astonishing science (“intensity trumps duration”), lays out time-saving life hacks (“exercise snacking”), and describes the fascinating health-promoting value of HIIT (for preventing and reversing disease). Gibala’s latest study found that sedentary people derived the fitness benefits of 150 minutes of traditional endurance training with an interval protocol that involved 80 percent less time and just three minutes of hard exercise per week. Including the eight best basic interval workouts as well as four microworkouts customized for individual needs and preferences (you may not quite want to go all out every time), The One-Minute Workout solves the number-one reason we don’t exercise: lack of time. Because everyone has one minute.

The Art of Prompts 2

Author : Kevin Ashley
Publisher : Kevin Ashley
ISBN 13 :
Total Pages : 133 pages
Book Rating : 4./5 ( download)

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Book Synopsis The Art of Prompts 2 by : Kevin Ashley

Download or read book The Art of Prompts 2 written by Kevin Ashley and published by Kevin Ashley. This book was released on with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Art of Prompts 2 has hundreds of examples and prompt tips to help you create beautiful illustrations, comics, greeting cards, stories, articles and so much more with generative AI! You don't need to be an expert: the book comes with easy-to-use tools to help you save, experiment and share your prompts with Livebook, and instantly publish your creations online with the visual Prompt Maker, Story Maker, Comics Maker, Image Maker and more! This book is a great resource for anyone interested in digital art, creativity, writing and artificial intelligence. Includes hundreds of illustrations and tips on making beautiful digital art with all modern AI models: Google Gemini, OpenAI, Midjourney and more. Enjoy browsing through a gallery of hundreds of illustrations made with prompts, try them yourself and have fun! Make beautiful art and content easily! Includes easy-to-use online tools and 200+ beautiful illustrations and tested prompts you can copy-and-paste to jump start creating artwork instantly, or experiment live with Livebook. Learn to instantly create professional digital art for your projects, books, documentation, research, or business: Illustrations Stories Comics Greeting Cards Articles What’s so special about this book? It explains how to make prompts to generate art and creative content - a very useful skill for any artist or hobbyist making art with powerful artificial intelligence tools. Enjoy browsing through a gallery of hundreds of illustrations made with prompts and have fun! Easy-to-follow and well structured The book is well structured, so you can quickly find your genres or styles of illustrations or artwork and use hints, guidance and copy-paste prompts that I tested while working on this book, or use Livebook (included) to create prompts, notebooks and more. Save time and start with best practices Creating a great artwork with artificial intelligence takes time. The book provides best practices and tested prompts to get started quickly. What is a prompt? A prompt is a loosely defined input, like a phrase or instruction that tells A.I. what to do. The art of creating prompts is just like the art of talking to people: if you’re skilled in this art you’ll get fantastic results! More creative AI resources: What’s new in this book: besides lots of new prompt tips, each prompt in this book is available online on Livebook, a new resource where you can keep and share your prompts, play, experiment, make articles, posts, illustrations, books, websites, and more. Livebook helps you creating content based on just your ideas (no special skills necessary), and provides a content management platform for generative AI, with lots of easy-to-use generative AI tools built-in: the visual Prompt Maker, Comics Maker, Greeting Card Maker, Story makers, and tons of templates as part of the Prompt Mania prompt garden. Ta-Da! Meet the Prompt Maker: one of the new tools included in Livebook simplifies prompt engineering, shortening the path from your ideas to content: the tool will automatically make awesome visual and text prompts for you, saving you typing and time from a single idea. Prompts made by Livebook Prompt Maker fit any transformer, and significantly improve the output quality for Google, OpenAI, Midjourney, and other models. Also in the book: multi-modal prompts - for video, images, text and more! While the first Art of Prompts book focused purely on imaging and art, I decided to include more tips in this book that also cover text and videos. So, in addition to vision and images, in this book you’ll find entirely new comics, text and conversation sections, including Google tools and new models like multi-modal Gemini, that explains the art of getting what you want from machines and artificial intelligence. This book is to make anyone productive with AI, you don’t need to be a data scientist to use methods and tools I share here. I recommend checking books in this series for the background of many methods explained here. Livebook for Business brings a comprehensive generative AI solution for businesses, teams and organizations. For example, at the US Olympic and Paralympic Committee, Livebook powers AI Coaching that teams and coaches as part of long-term Team USA readiness program for LA Olympics 2028! It is the first ever content management system (CMS) designed from the ground up to work with generative AI. Livebook generative AI kiosk had been installed at the Computer History Museum in Silicon Valley, next to the first computers and processors, entertaining visitors with generative stories. Hope you enjoy this book, learn, and have fun!

Clusters of Innovation in the Age of Disruption

Author : Engel, Jerome S.
Publisher : Edward Elgar Publishing
ISBN 13 : 1800885164
Total Pages : 480 pages
Book Rating : 4.8/5 (8 download)

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Book Synopsis Clusters of Innovation in the Age of Disruption by : Engel, Jerome S.

Download or read book Clusters of Innovation in the Age of Disruption written by Engel, Jerome S. and published by Edward Elgar Publishing. This book was released on 2022-07-21 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about innovation ecosystems, Clusters of Innovation (COI) and the Global Networks of Clusters of Innovation (GNCOI) they naturally form. What is innovation and why is it important to us? Innovation is nothing less than the ability for constructive response and adaptation to change. The cause and catalyst for that change is frequently identified as technology and its unceasing pressure to improve on existing solutions and address unmet needs. The last decade has painfully demonstrated that exogenous environmental shocks are also sources of change that call for innovative responses, ranging from the obvious challenges such as global warming and Covid-19 to the more subtle social and political perturbations of our time.

Make Art with Artificial Intelligence

Author : Kevin Ashley
Publisher :
ISBN 13 :
Total Pages : 184 pages
Book Rating : 4.5/5 (771 download)

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Book Synopsis Make Art with Artificial Intelligence by : Kevin Ashley

Download or read book Make Art with Artificial Intelligence written by Kevin Ashley and published by . This book was released on 2021-04 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: MAKE ART with Artificial Intelligence A guide on practical artificial intelligence for drawing, art, illustration, and design - for everyone interested in creativity, art, and technology. The book has hundreds of original illustrations made or augmented with AI, 20+ online and video tutorials, 35+ Python notebooks, a GitHub repository and a blockchain art gallery. Written and illustrated by Kevin Ashley, a Microsoft developer hall of fame engineer, and an author of books and courses on artificial intelligence. Think of this book as v3.0 of your drawing class manual on how to sketch, draw faces, emotions, body poses, landscapes, apply light, color, style, emotion, expressions, perspective, generate animations, speech and more with artificial intelligence. All artwork from this book is created or augmented with machine learning and available in online NFT gallery, as well as tutorials and practical examples. The impact of this book in data science community inspired a group of Microsoft engineers and data scientists to implement a project they called Azure Picasso to streamline the path from a conceptual artwork, enhanced with artificial intelligence to publishing art in online galleries. FROM REVIEWS This is similar to the best lecture classes I had in college where the professor talked in class about the concepts and fundamentals but then gave us homework that would let us experiment and try out the concepts hands-on. As an artist who has 30 years of artwork looking to share, I love this book because it's approachable to the novice and useful to the expert. EDITIONS Beautiful Paperback, 8x10, color edition, more illustrations than the e-book, reads like an art book, beautiful print and high-quality paper. eBook - easy to read on phones, tablets and online readers, reflowing text, great for practical tutorials, as the book has many links to tutorials. CONTENTS Getting Started (History of Art and AI - Drawing - Sketching - Action and Poses - Landscapes and Scenery - Animation - Selling your Art) Creative Tools (Traditional tools - Digital tools - AI Tools - Python - Notebooks - Practice Studies). Neural Networks for Art (Neurons - Neural networks - Supervised learning - Unsupervised learning - Generative Adversarial Networks - Machine Learning Models and Training - Reinforcement learning - Practice Studies) Drawing and Sketching with AI (Sketching - Improving Sketches with AI - Childhood Drawings - Creativity - Inking - Shading and Light - Coloring - Practice Studies) Faces and Facial Expressions (How AI recognizes human faces - Facial features - Emotions - 3D Faces - Cartoons and Caricature - Anime and Manga - Generating Faces with AI) Pose and Actions with AI (Action with AI - Keypoints - Pose Estimation - Drawing Human Body - Human Pose Datasets - Perspective and Depth) Landscapes and Scenery (Landscapes - Generating Landscapes - AI Models and Methods for Landscapes - Practice Studies) Style and Content (Style and Style Transfer in Art and AI - Generative Adversarial Networks - Creative Style) Animation with AI (History of Animation - 12 Principles of Animation - Using AI for Animation - Animating Speech, Lips and Faces) How to Sell your Art with Blockchain and NFT (Why Blockchain - Smart Contracts and NFTs - Creating a Crypto Wallet - Creating your Gallery - Listing for Sale - Getting Paid) The book comes with online tutorials, including assets, resources and notebooks for artists, data scientists or engineers. With basic Python you can create stunning works of art, but the knowledge of Python is not required. Enjoy this unique and insightful book!