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Eat Sleep Machine Learning Repeat
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Book Synopsis Eat Sleep Machine Learning Repeat by : Analyst Life Notebooks
Download or read book Eat Sleep Machine Learning Repeat written by Analyst Life Notebooks and published by . This book was released on 2019-11-22 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: This lined notebook makes a funny machine learning gift for data scientists and machine learning engineers. 6x9 inches 110 pages Lined White paper Matte-finished cover
Book Synopsis Eat. Sleep. Teach Machines. Repeat by : Data Science Notebooks
Download or read book Eat. Sleep. Teach Machines. Repeat written by Data Science Notebooks and published by . This book was released on 2019-05-05 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This machine learning notebook makes a great gift for any data scientist, programmer, mathematician, student or engineer working in artificial intelligence. This journal has 120 pages of blank lined paper and can be used for writing notes, thoughts and lists, for doodling or sketching, and also as a diary, organizer or daily / weekly planner.
Book Synopsis Eat Sleep Work Repeat by : Bruce Daisley
Download or read book Eat Sleep Work Repeat written by Bruce Daisley and published by HarperCollins. This book was released on 2020-02-25 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: “An important reminder of simple everyday practices to improve how we all work together, which will lead to greater team and individual happiness and performance. Great results will follow.”—Jack Dorsey, CEO of Twitter and Square “With just 30 changes, you can transform your work experience from bland and boring (or worse) to fulfilling, fun, and even joyful.”—Daniel Pink, author of When and Drive The vice president of Twitter Europe and host of the top business podcast Eat Sleep Work Repeat offers thirty smart, research-based hacks for bringing joy and fun back into our burned out, uninspired work lives. How does a lunch break spark a burst of productivity? Can a team’s performance be improved simply by moving the location of the coffee maker? Why are meetings so often a waste of time, and how can a walking meeting actually get decisions made? As an executive with decades of management experience at top Silicon Valley companies including YouTube, Google, and Twitter, Bruce Daisley has given a lot of thought to what makes a workforce productive and what factors can improve the workplace to benefit a company’s employees, customers, and bottom line. In his debut book, he shares what he’s discovered, offering practical, often counterintuitive, insights and solutions for reinvigorating work to give us more meaning, productivity, and joy at the office. A Gallup survey of global workers revealed shocking news: only 13% of employees are engaged in their jobs. This means that burn out and unhappiness at work are a reality for the vast majority of workers. Managers—and employees themselves—can make work better. Eat Sleep Work Repeat shows them how, offering more than two dozen research-backed, user-friendly strategies, including: Go to Lunch (it makes you less tired over the weekend) Suggest a Tea Break (it increases team cohesiveness and productivity) Conduct a Pre-Mortem (foreseeing possible issues can prevent problems and creates a spirit of curiosity and inquisitiveness) “Let’s start enjoying our jobs again,” Daisley insists. “It’s time to rediscover the joy of work.”
Book Synopsis Artificial Intelligence and Machine Learning for EDGE Computing by : Rajiv Pandey
Download or read book Artificial Intelligence and Machine Learning for EDGE Computing written by Rajiv Pandey and published by Academic Press. This book was released on 2022-04-26 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering. Provides a reference handbook on the evolution of distributed systems, including Cloud, Fog and Edge Computing Integrates the various Artificial Intelligence and Machine Learning techniques for effective predictions at Edge rather than Cloud or remote Data Centers Provides insight into the features and constraints in Edge Computing and storage, including hardware constraints and the technological/architectural developments that shall overcome those constraints
Book Synopsis Eat Sleep Tantrum Repeat by : Rebekah Diamond
Download or read book Eat Sleep Tantrum Repeat written by Rebekah Diamond and published by Citadel. This book was released on 2024-09-24 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: A down-to-earth, actionable guide that culls through the chaos of information and misinformation into digestible, accessible chapters that balances proven science with the demands of being a busy new parent of toddler. Congratulations! You’ve survived the first twelve months of parenthood, along with all the joys, worry, and sleep deprivation they bring. Welcome to the toddler years—and a whole new set of challenges. From toilet training, picky eating, and naptime to separation anxiety, screen time, and (whisper it) tantrums, toddlerhood brings developmental milestones and decisions that can feel totally daunting, especially in this golden age of mommy bloggers, parenting podcasts, and fear-mongering posts. How can you feel confident and empowered in your choices when there is so much at stake? As both an experienced pediatrician and a mother, Rebekah Diamond understands the need for a child rearing approach that keeps things simple, without sacrificing science or safety. Just as she did in her first book, Parent Like a Pediatrician, which focused on your baby’s first year, she cuts through the noise to tackle the wonders and hardships of raising a toddler. Instead of strict guidelines and overwhelming commands, Dr. Diamond offers advice that is medically sound, inclusive, and realistic for busy parents. There is no single “right” away to parent, but Eat Sleep Tantrum Repeat will show you how to create a way that is right for you and your child, and make these toddler years safe, science-approved, and joyful.
Download or read book The Loop written by Jacob Ward and published by Hachette Books. This book was released on 2022-01-25 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eye-opening narrative journey into the rapidly changing world of artificial intelligence reveals the dangerous ways AI is exploiting the unconscious habits of our minds, and the real threat it poses to humanity: "The best book I have ever read about AI" (New York Times bestselling author Roger McNamee). Artificial intelligence is going to change the world as we know it. But the real danger isn't some robot that's going to enslave us: It's our own brain. Our brains are constantly making decisions using shortcuts, biases, and hidden processes—and we're using those same techniques to create technology that makes choices for us. In The Loop, award-winning science journalist Jacob Ward reveals how we are poised to build all of our worst instincts into our AIs, creating a narrow loop where each generation has fewer, predetermined, and even dangerous choices. Taking us on a world tour of the ongoing, real-world experiment of artificial intelligence, The Loop illuminates the dangers of writing dangerous human habits into our machines. From a biometric surveillance state in India that tracks the movements of over a billion people, to a social media control system in China that punishes deviant friendships, to the risky multiple-choice simplicity of automated military action, Ward travels the world speaking with top experts confronting the perils of their research. Each stop reveals how the most obvious patterns in our behavior—patterns an algorithm will use to make decisions about what's best for us—are not the ones we want to perpetuate. Just as politics, marketing, and finance have all exploited the weaknesses of our human programming, artificial intelligence is poised to use the patterns of our lives to manipulate us. The Loop is call to look at ourselves more clearly—our most creative ideas, our most destructive impulses, the ways we help and hurt one another-so we can put only the best parts of ourselves into the thinking machines we create.
Book Synopsis Machine Learning in Medicine by : Ayman El-Baz
Download or read book Machine Learning in Medicine written by Ayman El-Baz and published by CRC Press. This book was released on 2021-08-03 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Medicine covers the state-of-the-art techniques of machine learning and their applications in the medical field. It presents several computer-aided diagnosis (CAD) systems, which have played an important role in the diagnosis of several diseases in the past decade, e.g., cancer detection, resulting in the development of several successful systems. New developments in machine learning may make it possible in the near future to develop machines that are capable of completely performing tasks that currently cannot be completed without human aid, especially in the medical field. This book covers such machines, including convolutional neural networks (CNNs) with different activation functions for small- to medium-size biomedical datasets, detection of abnormal activities stemming from cognitive decline, thermal dose modelling for thermal ablative cancer treatments, dermatological machine learning clinical decision support systems, artificial intelligence-powered ultrasound for diagnosis, practical challenges with possible solutions for machine learning in medical imaging, epilepsy diagnosis from structural MRI, Alzheimer's disease diagnosis, classification of left ventricular hypertrophy, and intelligent medical language understanding. This book will help to advance scientific research within the broad field of machine learning in the medical field. It focuses on major trends and challenges in this area and presents work aimed at identifying new techniques and their use in biomedical analysis, including extensive references at the end of each chapter.
Download or read book Brandalism written by Mike Sharman and published by Jonathan Ball Publishers. This book was released on 2022-03-07 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: In BRANDALISM, the follow-up to his bestselling, award-winning debut book The Best Dick, Mike Sharman delves into the (start)ups and downs associated with brand building and the need for business to dismantle, and vandalise its perceived, public-facing, persona. The future of PR and influence, when (or if) to launch a new business as opposed to a division, raising capital, the impact of presentations, startup school fees, and emphasis on a manifesto rather than purpose, are the aspects Mike obsesses over in this insightful read, wrapped in his trademark, comedic, copy. Mike Sharman, the co-founder of the creative, digital agency Retroviral that has made more brands 'go viral', globally, than any other agency in Africa, uses his unique storytelling proposition to provide insight into 12 years of building a business from scratch, while elevating his clients to emotional, (commercial) cult status. "Mike Sharman delivers the well needed wake-up call that your brand needs (and your customers deserve)." – Richard Mulholland
Book Synopsis Understanding Machine Learning by : Shai Shalev-Shwartz
Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz and published by Cambridge University Press. This book was released on 2014-05-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Book Synopsis Eat, Sleep, Prophesy, Repeat by : Tomi Arayomi
Download or read book Eat, Sleep, Prophesy, Repeat written by Tomi Arayomi and published by Tomi Arayomi Ministries. This book was released on 2018-12-11 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Eat, Sleep, Prophesy, Repeat," is intended primarily for the Christian reader that wants to grow in their ability to hear the voice of God both for themselves and for others. Established author, Tomi Arayomi, shares personal revelations and intimate stories designed to enhance your ability to tune into what the Lord has to say to you. The prophetic is for everyone and the Bible says in John 10:27 that 'My Sheep Hear My Voice.' This book promises the Christian practical insights into how to navigate the prophetic landscape. It answers deeply held questions surrounding the prophetic such as: - What does the voice of God sound like?- How do I separate God's voice from my own voice?- How do I grow in my ability to hear God's voice?- Am I a prophet?- How does God speak today?- How do i minister prophetically to others?- How do I mature in my prophetic anointing?- How do I restore the prophetic back to my local church?- How to be a prophet to NationsAnd much more!
Download or read book Why We Sleep written by Matthew Walker and published by Simon and Schuster. This book was released on 2017-10-03 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Sleep is one of the most important but least understood aspects of our life, wellness, and longevity ... An explosion of scientific discoveries in the last twenty years has shed new light on this fundamental aspect of our lives. Now ... neuroscientist and sleep expert Matthew Walker gives us a new understanding of the vital importance of sleep and dreaming"--Amazon.com.
Book Synopsis Machine Learning Solutions by : Jalaj Thanaki
Download or read book Machine Learning Solutions written by Jalaj Thanaki and published by Packt Publishing Ltd. This book was released on 2018-04-27 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical, hands-on solutions in Python to overcome any problem in Machine Learning Key Features Master the advanced concepts, methodologies, and use cases of machine learning Build ML applications for analytics, NLP and computer vision domains Solve the most common problems in building machine learning models Book Description Machine learning (ML) helps you find hidden insights from your data without the need for explicit programming. This book is your key to solving any kind of ML problem you might come across in your job. You’ll encounter a set of simple to complex problems while building ML models, and you'll not only resolve these problems, but you’ll also learn how to build projects based on each problem, with a practical approach and easy-to-follow examples. The book includes a wide range of applications: from analytics and NLP, to computer vision domains. Some of the applications you will be working on include stock price prediction, a recommendation engine, building a chat-bot, a facial expression recognition system, and many more. The problem examples we cover include identifying the right algorithm for your dataset and use cases, creating and labeling datasets, getting enough clean data to carry out processing, identifying outliers, overftting datasets, hyperparameter tuning, and more. Here, you'll also learn to make more timely and accurate predictions. In addition, you'll deal with more advanced use cases, such as building a gaming bot, building an extractive summarization tool for medical documents, and you'll also tackle the problems faced while building an ML model. By the end of this book, you'll be able to fine-tune your models as per your needs to deliver maximum productivity. What you will learn Select the right algorithm to derive the best solution in ML domains Perform predictive analysis effciently using ML algorithms Predict stock prices using the stock index value Perform customer analytics for an e-commerce platform Build recommendation engines for various domains Build NLP applications for the health domain Build language generation applications using different NLP techniques Build computer vision applications such as facial emotion recognition Who this book is for This book is for the intermediate users such as machine learning engineers, data engineers, data scientists, and more, who want to solve simple to complex machine learning problems in their day-to-day work and build powerful and efficient machine learning models. A basic understanding of the machine learning concepts and some experience with Python programming is all you need to get started with this book.
Book Synopsis Applied Machine Learning by : David Forsyth
Download or read book Applied Machine Learning written by David Forsyth and published by Springer. This book was released on 2019-07-12 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning methods are now an important tool for scientists, researchers, engineers and students in a wide range of areas. This book is written for people who want to adopt and use the main tools of machine learning, but aren’t necessarily going to want to be machine learning researchers. Intended for students in final year undergraduate or first year graduate computer science programs in machine learning, this textbook is a machine learning toolkit. Applied Machine Learning covers many topics for people who want to use machine learning processes to get things done, with a strong emphasis on using existing tools and packages, rather than writing one’s own code. A companion to the author's Probability and Statistics for Computer Science, this book picks up where the earlier book left off (but also supplies a summary of probability that the reader can use). Emphasizing the usefulness of standard machinery from applied statistics, this textbook gives an overview of the major applied areas in learning, including coverage of:• classification using standard machinery (naive bayes; nearest neighbor; SVM)• clustering and vector quantization (largely as in PSCS)• PCA (largely as in PSCS)• variants of PCA (NIPALS; latent semantic analysis; canonical correlation analysis)• linear regression (largely as in PSCS)• generalized linear models including logistic regression• model selection with Lasso, elasticnet• robustness and m-estimators• Markov chains and HMM’s (largely as in PSCS)• EM in fairly gory detail; long experience teaching this suggests one detailed example is required, which students hate; but once they’ve been through that, the next one is easy• simple graphical models (in the variational inference section)• classification with neural networks, with a particular emphasis onimage classification• autoencoding with neural networks• structure learning
Book Synopsis The Sentient Machine by : Amir Husain
Download or read book The Sentient Machine written by Amir Husain and published by Simon and Schuster. This book was released on 2017-11-21 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores universal questions about humanity's capacity for living and thriving in the coming age of sentient machines and AI, examining debates from opposing perspectives while discussing emerging intellectual diversity and its potential role in enabling a positive life.
Book Synopsis Machine Learning Interviews by : Susan Shu Chang
Download or read book Machine Learning Interviews written by Susan Shu Chang and published by "O'Reilly Media, Inc.". This book was released on 2023-11-29 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. Having served as principal data scientist in several companies, Chang has considerable experience as both ML interviewer and interviewee. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way. You'll quickly understand how to successfully navigate your way through typical ML interviews. This guide shows you how to: Explore various machine learning roles, including ML engineer, applied scientist, data scientist, and other positions Assess your interests and skills before deciding which ML role(s) to pursue Evaluate your current skills and close any gaps that may prevent you from succeeding in the interview process Acquire the skill set necessary for each machine learning role Ace ML interview topics, including coding assessments, statistics and machine learning theory, and behavioral questions Prepare for interviews in statistics and machine learning theory by studying common interview questions
Book Synopsis Reinforcement Learning, second edition by : Richard S. Sutton
Download or read book Reinforcement Learning, second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Book Synopsis Parent Like a Pediatrician by : Rebekah Diamond
Download or read book Parent Like a Pediatrician written by Rebekah Diamond and published by Citadel Press. This book was released on 2022-09-27 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rebekah Diamond, M.D., the pediatrician, working mom, and parent advocate trusted by Parents magazine and NBC for her adept advice, expertly guides you through the noise to share her fresh, inclusive, sensible, no-nonsense take on making the right choices when it comes the first 12 months of your child's life. Becoming a new parent in the age of online advice can be a minefield of confusion, worries, and fears amplified by myths, misinformation, and too much information. As an experienced pediatrician, Rebekah Diamond is deeply grounded in a fact-based understanding of child healthcare. As a mother, she also understands that the accepted rules aren't always the solution to the challenges of nurturing a healthy new baby. But neither is the overload of relatable but often dangerously misleading information bombarding parents. So how do you trust yourself to make the best decisions for your child? With authoritative up-to-date research and real-world advice on the myriad obstacles facing moms, dads, and caregivers, Dr. Diamond unpacks the whys behind the facts to empower your best parental instincts. From safe-sleep guidelines, breast feeding, and binky addiction to sensory developmental activities, baby products, and the final—and 100% evidence-based—word on the vaccination debate, Dr. Diamond helps parents cultivate the clarity and sound decisions you need to lessen the anxiety (for parent and baby) around what should be the joyful, connecting early months of life. "Parenting can be nerve-racking, even for the parents who feel prepared and "ready." The truth is, no one is completely ready or knows the answers to every potential problem or situation that arises in a child's life…. Parent Like a Pediatrician has the capability to put a pregnant or new mom at ease." —Portland Book Review
