Need Machine

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Publisher : Coach House Books
ISBN 13 : 1770563431
Total Pages : 88 pages
Book Rating : 4.7/5 (75 download)

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Book Synopsis Need Machine by : Andrew Faulkner

Download or read book Need Machine written by Andrew Faulkner and published by Coach House Books. This book was released on 2013-04-19 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Need Machine clamors through the brain like an unruly marching band. Both caustic and thoughtful, these poems offer a topography of modern life writ large in twitchy, neon splendor, in a voice as sure as a surgeon and as trustworthy as a rumor. Honest, irreverent, and sharply indifferent, this book will "hogtie you with awe."

Machine Learning and Data Science Blueprints for Finance

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492073008
Total Pages : 426 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Machine Learning and Data Science Blueprints for Finance by : Hariom Tatsat

Download or read book Machine Learning and Data Science Blueprints for Finance written by Hariom Tatsat and published by "O'Reilly Media, Inc.". This book was released on 2020-10-01 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You'll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You'll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations

Advances in Financial Machine Learning

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Publisher : John Wiley & Sons
ISBN 13 : 1119482119
Total Pages : 395 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Advances in Financial Machine Learning by : Marcos Lopez de Prado

Download or read book Advances in Financial Machine Learning written by Marcos Lopez de Prado and published by John Wiley & Sons. This book was released on 2018-01-23 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to understand and implement the latest machine learning innovations to improve your investment performance Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest. In the book, readers will learn how to: Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

Grokking Deep Learning

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Publisher : Simon and Schuster
ISBN 13 : 163835720X
Total Pages : 475 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Grokking Deep Learning by : Andrew W. Trask

Download or read book Grokking Deep Learning written by Andrew W. Trask and published by Simon and Schuster. This book was released on 2019-01-23 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning. About the Book Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks. What's inside The science behind deep learning Building and training your own neural networks Privacy concepts, including federated learning Tips for continuing your pursuit of deep learning About the Reader For readers with high school-level math and intermediate programming skills. About the Author Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform. Table of Contents Introducing deep learning: why you should learn it Fundamental concepts: how do machines learn? Introduction to neural prediction: forward propagation Introduction to neural learning: gradient descent Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching Modeling probabilities and nonlinearities: activation functions Neural learning about edges and corners: intro to convolutional neural networks Neural networks that understand language: king - man + woman == ? Neural networks that write like Shakespeare: recurrent layers for variable-length data Introducing automatic optimization: let's build a deep learning framework Learning to write like Shakespeare: long short-term memory Deep learning on unseen data: introducing federated learning Where to go from here: a brief guide

Tell the Machine Goodnight

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Author :
Publisher : Penguin
ISBN 13 : 0525533133
Total Pages : 306 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis Tell the Machine Goodnight by : Katie Williams

Download or read book Tell the Machine Goodnight written by Katie Williams and published by Penguin. This book was released on 2019-06-18 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: FINALIST FOR 2018 KIRKUS PRIZE NAMED ONE OF THE "BEST LITERARY FICTION OF 2018' BY KIRKUS REVIEWS "Sci-fi in its most perfect expression…Reading it is like having a lucid dream of six years from next week, filled with people you don't know, but will." —NPR "[Williams’s] wit is sharp, but her touch is light, and her novel is a winner." – San Francisco Chronicle "Between seasons of Black Mirror, look to Katie Williams' debut novel." —Refinery29 Smart and inventive, a page-turner that considers the elusive definition of happiness. Pearl's job is to make people happy. As a technician for the Apricity Corporation, with its patented happiness machine, she provides customers with personalized recommendations for greater contentment. She's good at her job, her office manager tells her, successful. But how does one measure an emotion? Meanwhile, there's Pearl's teenage son, Rhett. A sensitive kid who has forged an unconventional path through adolescence, Rhett seems to find greater satisfaction in being unhappy. The very rejection of joy is his own kind of "pursuit of happiness." As his mother, Pearl wants nothing more than to help Rhett--but is it for his sake or for hers? Certainly it would make Pearl happier. Regardless, her son is one person whose emotional life does not fall under the parameters of her job--not as happiness technician, and not as mother, either. Told from an alternating cast of endearing characters from within Pearl and Rhett's world, Tell the Machine Goodnight delivers a smartly moving and entertaining story about the advance of technology and the ways that it can most surprise and define us. Along the way, Katie Williams playfully illuminates our national obsession with positive psychology, our reliance on quick fixes. What happens when these obsessions begin to overlap? With warmth, humor, and a clever touch, Williams taps into our collective unease about the modern world and allows us see it a little more clearly.

The Imagination Machine

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Author :
Publisher : Harvard Business Press
ISBN 13 : 1647820871
Total Pages : 248 pages
Book Rating : 4.6/5 (478 download)

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Book Synopsis The Imagination Machine by : Martin Reeves

Download or read book The Imagination Machine written by Martin Reeves and published by Harvard Business Press. This book was released on 2021-06-08 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for mining the imagination to find powerful new ways to succeed. We need imagination now more than ever—to find new opportunities, rethink our businesses, and discover paths to growth. Yet too many companies have lost their ability to imagine. What is this mysterious capacity? How does imagination work? And how can organizations keep it alive and harness it in a systematic way? The Imagination Machine answers these questions and more. Drawing on the experience and insights of CEOs across several industries, as well as lessons from neuroscience, computer science, psychology, and philosophy, Martin Reeves of Boston Consulting Group's Henderson Institute and Jack Fuller, an expert in neuroscience, provide a fascinating look into the mechanics of imagination and lay out a process for creating ideas and bringing them to life: The Seduction: How to open yourself up to surprises The Idea: How to generate new ideas The Collision: How to rethink your idea based on real-world feedback The Epidemic: How to spread an evolving idea to others The New Ordinary: How to turn your novel idea into an accepted reality The Encore: How to repeat the process—again and again. Imagination is one of the least understood but most crucial ingredients of success. It's what makes the difference between an incremental change and the kinds of pivots and paradigm shifts that are essential to transformation—especially during a crisis. The Imagination Machine is the guide you need to demystify and operationalize this powerful human capacity, to inject new life into your company, and to head into unknown territory with the right tools at your disposal.

Human + Machine

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Author :
Publisher : Harvard Business Press
ISBN 13 : 1633693872
Total Pages : 268 pages
Book Rating : 4.6/5 (336 download)

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Book Synopsis Human + Machine by : Paul R. Daugherty

Download or read book Human + Machine written by Paul R. Daugherty and published by Harvard Business Press. This book was released on 2018-03-20 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.

Klara and the Sun

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Author :
Publisher : Vintage
ISBN 13 : 0593318188
Total Pages : 273 pages
Book Rating : 4.5/5 (933 download)

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Book Synopsis Klara and the Sun by : Kazuo Ishiguro

Download or read book Klara and the Sun written by Kazuo Ishiguro and published by Vintage. This book was released on 2021-03-02 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW YORK TIMES BESTSELLER • Once in a great while, a book comes along that changes our view of the world. This magnificent novel from the Nobel laureate and author of Never Let Me Go is “an intriguing take on how artificial intelligence might play a role in our futures ... a poignant meditation on love and loneliness” (The Associated Press). • A GOOD MORNING AMERICA Book Club Pick! Here is the story of Klara, an Artificial Friend with outstanding observational qualities, who, from her place in the store, watches carefully the behavior of those who come in to browse, and of those who pass on the street outside. She remains hopeful that a customer will soon choose her. Klara and the Sun is a thrilling book that offers a look at our changing world through the eyes of an unforgettable narrator, and one that explores the fundamental question: what does it mean to love?

Building Machine Learning Powered Applications

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492045063
Total Pages : 243 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Building Machine Learning Powered Applications by : Emmanuel Ameisen

Download or read book Building Machine Learning Powered Applications written by Emmanuel Ameisen and published by "O'Reilly Media, Inc.". This book was released on 2020-01-21 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers—including experienced practitioners and novices alike—will learn the tools, best practices, and challenges involved in building a real-world ML application step by step. Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you: Define your product goal and set up a machine learning problem Build your first end-to-end pipeline quickly and acquire an initial dataset Train and evaluate your ML models and address performance bottlenecks Deploy and monitor your models in a production environment

God, Human, Animal, Machine

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Author :
Publisher : Anchor
ISBN 13 : 0525562710
Total Pages : 305 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis God, Human, Animal, Machine by : Meghan O'Gieblyn

Download or read book God, Human, Animal, Machine written by Meghan O'Gieblyn and published by Anchor. This book was released on 2022-07-12 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: A strikingly original exploration of what it might mean to be authentically human in the age of artificial intelligence, from the author of the critically-acclaimed Interior States. • "At times personal, at times philosophical, with a bracing mixture of openness and skepticism, it speaks thoughtfully and articulately to the most crucial issues awaiting our future." —Phillip Lopate “[A] truly fantastic book.”—Ezra Klein For most of human history the world was a magical and enchanted place ruled by forces beyond our understanding. The rise of science and Descartes's division of mind from world made materialism our ruling paradigm, in the process asking whether our own consciousness—i.e., souls—might be illusions. Now the inexorable rise of technology, with artificial intelligences that surpass our comprehension and control, and the spread of digital metaphors for self-understanding, the core questions of existence—identity, knowledge, the very nature and purpose of life itself—urgently require rethinking. Meghan O'Gieblyn tackles this challenge with philosophical rigor, intellectual reach, essayistic verve, refreshing originality, and an ironic sense of contradiction. She draws deeply and sometimes humorously from her own personal experience as a formerly religious believer still haunted by questions of faith, and she serves as the best possible guide to navigating the territory we are all entering.

Heart of the Machine

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Author :
Publisher : Arcade
ISBN 13 : 195069111X
Total Pages : 338 pages
Book Rating : 4.9/5 (56 download)

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Book Synopsis Heart of the Machine by : Richard Yonck

Download or read book Heart of the Machine written by Richard Yonck and published by Arcade. This book was released on 2020-02-11 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: For Readers of Ray Kurzweil and Michio Kaku, a New Look at the Cutting Edge of Artificial Intelligence Imagine a robotic stuffed animal that can read and respond to a child’s emotional state, a commercial that can recognize and change based on a customer’s facial expression, or a company that can actually create feelings as though a person were experiencing them naturally. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate. Many believe that artificial intelligence equal or superior to human intelligence will happen in the not-too-distance future; some even think machine consciousness will follow. Futurist Richard Yonck argues that emotion, the first, most basic, and most natural form of communication, is at the heart of how we will soon work with and use computers. Instilling emotions into computers is the next leap in our centuries-old obsession with creating machines that replicate humans. But for every benefit this progress may bring to our lives, there is a possible pitfall. Emotion recognition could lead to advanced surveillance, and the same technology that can manipulate our feelings could become a method of mass control. And, as shown in movies like Her and Ex Machina, our society already holds a deep-seated anxiety about what might happen if machines could actually feel and break free from our control. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact. The paperback edition has a new foreword by Rana el Kaliouby, PhD, a pioneer in artificial emotional intelligence, as well as the cofounder and CEO of Affectiva, the acclaimed AI startup spun off from the MIT Media Lab.

Mathematics for Machine Learning

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Author :
Publisher : Cambridge University Press
ISBN 13 : 1108569323
Total Pages : 392 pages
Book Rating : 4.1/5 (85 download)

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Book Synopsis Mathematics for Machine Learning by : Marc Peter Deisenroth

Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

Anywhere Working and the Future of Work

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Publisher : IGI Global
ISBN 13 : 179984160X
Total Pages : 287 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Anywhere Working and the Future of Work by : Blount, Yvette

Download or read book Anywhere Working and the Future of Work written by Blount, Yvette and published by IGI Global. This book was released on 2020-09-04 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the current workforce has pushed for the capability to work from home, it has been the natural disasters and pandemics that have emerged across the globe this past year that have pushed the matter to the forefront of conversation. More companies are seeing the benefits of having a workforce that can maintain business processes and keep organizations running from anywhere. Advances in technology continue to improve online collaboration tools and co-working centers, making working from anywhere a possibility. Anywhere Working and the Future of Work is a pivotal reference source that provides vital research on the current state of teleworking/telecommuting and how it can be used to achieve competitive advantage. While highlighting topics such as digital workforce, mobile technology, and accessibility, the book examines the trends, issues, and limitations that are informing the future of anywhere working. This publication also explores remote management practices as well as potential challenges such as increasing business automation applications that may require navigation in the future of work. This book is ideally designed for business professionals, managers, executives, government agencies, policymakers, academicians, researchers, and students.

The Label Machine: How to Start, Run and Grow Your Own Independent Music Label

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Author :
Publisher : Velocity Press
ISBN 13 :
Total Pages : 250 pages
Book Rating : 4./5 ( download)

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Book Synopsis The Label Machine: How to Start, Run and Grow Your Own Independent Music Label by : Nick Sadler

Download or read book The Label Machine: How to Start, Run and Grow Your Own Independent Music Label written by Nick Sadler and published by Velocity Press. This book was released on 2021-07-04 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you want to start a record label, self-release your own music, or are just an avid music lover, this book will give you information about the business of music. The Label Machine: How to Start, Run and Grow Your Own Independent Music Label is the first book to give music artists practical step-by-step comprehensive instructions for setting up and running an independent music label to successfully distribute and market their music. You will learn all about the music industry business and how to navigate the tricky dos and don'ts. You will finally understand and take control of your music copyright and get to grips with the legalities involved. You will build your music business effortlessly, learning how to professionally market your music and artists - allowing you to reach thousands of fans. And essentially, you will learn how to create multiple label revenue streams to create an established record label. It features a detailed breakdown of how every part of the industry works together, including copyright in the UK and US, record label set-up, record releases, and royalty collection. It also provides in-depth guides on marketing, covering; traditional PR, Facebook and Instagram advertising, Spotify playlisting, and fan growth. Includes templates for record label and management contracts, marketing and promotion schedules, press releases, and fan email automation.

The Exquisite Machine

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Publisher : MIT Press
ISBN 13 : 0262548410
Total Pages : 234 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis The Exquisite Machine by : Sian E. Harding

Download or read book The Exquisite Machine written by Sian E. Harding and published by MIT Press. This book was released on 2024-02-06 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: How science is opening up the mysteries of the heart, revealing the poetry in motion within the machine. Your heart is a miracle in motion, a marvel of construction unsurpassed by any human-made creation. It beats 100,000 times every day—if you were to live to 100, that would be more than 3 billion beats across your lifespan. Despite decades of effort in labs all over the world, we have not yet been able to replicate the heart’s perfect engineering. But, as Sian Harding shows us in The Exquisite Machine, new scientific developments are opening up the mysteries of the heart. And this explosion of new science—ultrafast imaging, gene editing, stem cells, artificial intelligence, and advanced sub-light microscopy—has crucial, real-world consequences for health and well-being. Harding—a world leader in cardiac research—explores the relation between the emotions and heart function, reporting that the heart not only responds to our emotions, it creates them as well. The condition known as Broken Heart Syndrome, for example, is a real disorder than can follow bereavement or stress. The Exquisite Machine describes the evolutionary forces that have shaped the heart’s response to damage, the astonishing rejuvenating power of stem cells, how we can avoid heart disease, and why it can be so hard to repair a damaged heart. It tells the stories of patients who have had the devastating experiences of a heart attack, chaotic heart rhythms, or stress-induced acute heart failure. And it describes how cutting-edge technologies are enabling experiments and clinical trials that will lead us to new solutions to the worldwide scourge of heart disease.

Machinery

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Author :
Publisher :
ISBN 13 :
Total Pages : 1108 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Machinery by : Fred Herbert Colvin

Download or read book Machinery written by Fred Herbert Colvin and published by . This book was released on 1928 with total page 1108 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Hype Machine

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Author :
Publisher : Currency
ISBN 13 : 0525574522
Total Pages : 417 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis The Hype Machine by : Sinan Aral

Download or read book The Hype Machine written by Sinan Aral and published by Currency. This book was released on 2020-09-15 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: A landmark insider’s tour of how social media affects our decision-making and shapes our world in ways both useful and dangerous, with critical insights into the social media trends of the 2020 election and beyond “The book might be described as prophetic. . . . At least two of Aral’s three predictions have come to fruition.”—New York NAMED ONE OF THE BEST BOOKS OF THE YEAR BY WIRED • LONGLISTED FOR THE PORCHLIGHT BUSINESS BOOK AWARD Social media connected the world—and gave rise to fake news and increasing polarization. It is paramount, MIT professor Sinan Aral says, that we recognize the outsize effect social media has on us—on our politics, our economy, and even our personal health—in order to steer today’s social technology toward its great promise while avoiding the ways it can pull us apart. Drawing on decades of his own research and business experience, Aral goes under the hood of the most powerful social networks to tackle the critical question of just how much social media actually shapes our choices, for better or worse. He shows how the tech behind social media offers the same set of behavior influencing levers to everyone who hopes to change the way we think and act—from Russian hackers to brand marketers—which is why its consequences affect everything from elections to business, dating to health. Along the way, he covers a wide array of topics, including how network effects fuel Twitter’s and Facebook’s massive growth, the neuroscience of how social media affects our brains, the real consequences of fake news, the power of social ratings, and the impact of social media on our kids. In mapping out strategies for being more thoughtful consumers of social media, The Hype Machine offers the definitive guide to understanding and harnessing for good the technology that has redefined our world overnight.