Book picks similar to
Markov Random Fields for Vision and Image Processing by Andrew Blake
statistics
computer-science
data-science
machine-learning
Survey Methodology
Robert M. Groves - 2004
Survey Methodology describes the basic principles of survey design discovered in methodological research over recent years and offers guidance for making successful decisions in the design and execution of high quality surveys. Written by six nationally recognized experts in the field, this book covers the major considerations in designing and conducting a sample survey. Topical, accessible, and succinct, this book represents the state of the science in survey methodology. Employing the "total survey error" paradigm as an organizing framework, it merges the science of surveys with state-of-the-art practices. End-of-chapter terms, references, and exercises enhance its value as a reference for practitioners and as a text for advanced students.
Reverse Heart Disease Now: Stop Deadly Cardiovascular Plaque Before It's Too Late
Stephen T. Sinatra - 2006
Two leading cardiologists draw on their collective fifty years of clinical cardiology research to show you how to combine the benefits of modern medicine, over-the-counter vitamins and supplements, and simple lifestyle changes to have a healthy heart.
Introduction to Physical Metallurgy
Sidney H. Avner - 1974
The main ideas and applications of the metallurgy are provided in this book.
Hidden In Plain Sight 9: The Physics Of Consciousness
Andrew H. Thomas - 2018
Can a computer think? Why is your consciousness like Bitcoin? Will there be an artificial intelligence apocalypse?
The Coming Storm
Michael Lewis - 2018
Weather can be deadly — especially when it strikes without warning. Millions of Americans could soon find themselves at the mercy of violent weather if the public data behind lifesaving storm alerts gets privatized for personal gain.In his first Audible Original feature, New York Times best-selling author and journalist Michael Lewis delivers hard-hitting research on not-so-random weather data — and how Washington plans to release it. He also digs deep into the lives of two scientists who revolutionized climate predictions, bringing warning systems to previously unimaginable levels of accuracy. One is Kathy Sullivan, a gifted scientist among the first women in space; the other, D.J. Patil, is a trickster-turned-mathematician and a political adviser.Most urgently, Lewis's narrative reveals the potential cost of putting a price tag on information with the potential to save lives, raising questions about balancing public service with profits in an ethically-ambiguous atmosphere.
Re:cyclists: 200 Years on Two Wheels
Michael Hutchinson - 2017
The calls to ban it were more or less instant.Re:cyclists is the tale of what happened next, of how we have spent two centuries wheeling our way about town and country on bikes--or on two-wheeled things that vaguely resembled what we now call bikes. Michael Hutchinson picks his way through those 200 years, discovering how cycling became a kinky vaudeville act for Parisians, how it became an American business empire, and how it went on to find a unique home in the British Isles. He considers the penny-farthing riders exploring the abandoned and lonely coaching roads during the railway era, and the Victorian high-society cyclists of the 1890s bicycle craze--a time when no aristocratic house party was without bicycles and when the Prince of Wales used to give himself an illicit thrill on a weekday afternoon by watching the women's riding-school in the Royal Albert Hall.Re:cyclists looks at how cycling became the sport, the pastime and the social life of millions of ordinary people, how it grew and how it suffered through the 1960s and '70s, and how at the dawn of the twenty-first century it rose again, much changed but still ultimately just someone careering along on two wheels.
The Expectant Dad's Handbook: All you need to know about pregnancy, birth and beyond
Dean Beaumont - 2013
This exciting new book, from a leading expert in working with expectant dads, doesn’t sideline or speak down to men. Instead it provides an array of targeted information to fully prepare men for their new roles – as both birth partners and fathers.The Expectant Dad’s Handbook is a one-stop guide for men on their path to fatherhood. It provides practical answers to all the questions on the mind of a dad-to-be – from what to expect at each stage of pregnancy to how to cope with any worries and fears about becoming a dad. It also reveals unique insights into a dad’s role during labour, showing key strategies for improving the birth.Both practical and accessible, this guide will provide all the information and advice fathers need for the journey ahead.
Prediction Machines: The Simple Economics of Artificial Intelligence
Ajay Agrawal - 2018
But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear:
Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions.
Prediction tools increase productivity--operating machines, handling documents, communicating with customers.
Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete.
Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.
Medicine Dog: K9s, Stem Cells, and an Amazing Tail of Recovery
Júlia Szabó - 2014
Diligently researching how to restore his quality of life, she discovered Vet-Stem, a service that provides cutting-edge regeneration therapy for pets, using stem cells harvested from animals' own tissue. Just hours after receiving IV and intra-joint injections, Sam began aging backward--which left Julia wondering why this simple, effective treatment was not available for humans. Julia suffered from chronic inflammatory bowel disease, and after witnessing Sam's astonishing recovery, she set out on a curious quest: to be treated like a dog by a doctor as competent as her vet! After a four-year wait, Julia became the first American to be successfully cured of a perirectal fistula with stem cells derived from her own fat. With this amazing true story of how a pack of shelter dogs she rescued from death row came to save her life, Julia hopes to inspire and inform readers about exciting healthcare options available to them and their cherished animal companions.
A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going
Michael Wooldridge - 2021
As an AI researcher with 25 years of experience, professor Mike Wooldridge has learned to be obsessively cautious about such claims, while still promoting an intense optimism about the future of the field. There have been genuine scientific breakthroughs that have made AI systems possible in the past decade that the founders of the field would have hailed as miraculous. Driverless cars and automated translation tools are just two examples of AI technologies that have become a practical, everyday reality in the past few years, and which will have a huge impact on our world.While the dream of conscious machines remains, Professor Wooldridge believes, a distant prospect, the floodgates for AI have opened. Wooldridge's A Brief History of Artificial Intelligence is an exciting romp through the history of this groundbreaking field--a one-stop-shop for AI's past, present, and world-changing future.
Case Files: Surgery
Eugene C. Toy - 2003
Each case includes an extended discussion, definition of terms, clinical pearls, and USMLE format review questions. This interactive learning system helps you understand essential concepts instead of memorizing facts.
Zero Hour for Gen X: How the Last Adult Generation Can Save America from Millennials
Matthew Hennessey - 2018
Soon Gen Xers will be the only cohort of Americans who remember life as it was lived before the arrival of the Internet. They are, as Hennessey dubs them, “the last adult generation,” the sole remaining link to a time when childhood was still a bit dangerous but produced adults who were naturally resilient. More than a decade into the social media revolution, the American public is waking up to the idea that the tech sector’s intentions might not be as pure as advertised. The mountains of money being made off our browsing habits and purchase histories are used to fund ever-more extravagant and utopian projects that, by their very natures, will corrode the foundations of free society, leaving us all helpless and digitally enslaved to an elite crew of ultra-sophisticated tech geniuses. But it’s not too late to turn the tide. There’s still time for Gen X to write its own future. A spirited defense of free speech, eye contact, and the virtues of patience, Zero Hour for Gen X is a cultural history of the last 35 years, an analysis of the current social and historical moment, and a generational call to arms.
Python Machine Learning
Sebastian Raschka - 2015
We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world
How to Change Your Mind: What the New Science of Psychedelics
Zhivko - 2018
Out of the Ether: The Amazing Story of Ethereum and the $55 Million Heist that Almost Destroyed It All
Matthew Leising - 2020
It also chronicles the creation of the Ethereum blockchain from the mind of inventor Vitalik Buterin to the ragtag group of people he assembled around him to build the second-largest crypto universe after Bitcoin.Celebrated journalist and author Matthew Leising tells the full story of one of the most incredible chapters in cryptocurrency history. He covers the aftermath of the heist as well, explaining the extreme lengths the victims of the theft and the creators of Ethereum went to in order to try and limit the damage. The book covers:The creation of EthereumAn explanation of the nature of blockchain and cryptocurrencyThe activities of a colorful cast of hackers, coders, investors, and thievesPerfect for anyone with even a passing interest in the world of modern fintech or daring electronic heists, Out of the Ether is a story of genius and greed that’s so incredible you may just choose not to believe it.