Book picks similar to
Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project by Douglas B. Lenat
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Boomer and Me: A Memoir of Motherhood, and Asperger's
Jo Case - 2012
Like Helen Garner, she has a steady, careful eye, and uses it to bring back news of glorious, rackety life.’Susan JohnsonMe: ‘Are you going to be a good boy this year?’Boomer: ‘Uh huh. I have no interest in toilet humour.’Me: ‘You don’t?’Boomer: ‘No. No interest at all. I mean, I think “it’s funny”when, in The Bad Book, Terence takes off all his clothes.And when Horrid Henry shows his undies. But I wouldthink to myself, “That is something I should not do”.’Between juggling work, joint custody and the ordinary demands of motherhood, Jo tries to work out why her son Leo (aka Boomer) is finding it hard to fit in. His wit wins him friends, but the rituals of friendship—like learning to compromise—are proving challenging. Is it because he’s an only child? Could he be gifted?When Leo is diagnosed with Asperger’s Syndrome, Jo fears what it means—and sees herself, and her family, through new eyes. Trapped in a cycle of doubt and discovery, she wonders how you can stay true to who you are and fit in. What the hell is ‘normal’ anyway?This is the bittersweet story of a twenty-first-century family, and why being different isn’t a disability—it just takes some getting used to.
Finding Moosewood, Finding God: What Happened When a TV Newsman Abandoned His Career for Life on an Island
Jack Perkins - 2013
People were familiar with his face, his bearing, and his rich, reassuring bass.Yet at the age of fifty-two and at the height of his career, Jack Perkins left the world of broadcasting and moved with his wife, Mary Jo, to a bare-necessities cabin on an uninhabited island off the coast of Maine. This isolated home they came to call Moosewood was the setting for and the catalyst to Jack and Mary Jo’s spiritual awakening. For thirteen years they endured (and learned to enjoy) snowbound winters, shuttling supplies from the mainland, testing themselves and the strength of their marriage, and discovering the rewards and glories of a close-to-nature life. Which is to say, the rewards and glories of a close-to-God life. As far as the public was aware, Jack Perkins had vanished. In fact, he was doing research; not, for a change, about the unknown private life of a movie star or celebrated artist, but about the unknown sides of himself.Jack’s personal account in Finding Moosewood, Finding God tells a relatable story of one man drawn to cast off a shallow and unsatisfying lifestyle in order to seek out a deeper, more meaningful and spiritual life. Within the course of explaining how their lives were blessedly transformed especially during the cycle of their first year of island living, Jack draws in stories from his long career in an impressionistic, associative way that invites the reader to connect the dots. One finds—as he finally did—that there’d been many hints along the way of a greater plan at work. This rich memoir also contains a photo insert.
Functional-Light JavaScript: Pragmatic, Balanced FP in JavaScript
Kyle Simpson - 2017
Functional Programming (FP) is an incredibly powerful paradigm for structuring code that yields more robust, verifiable, and readable programs. If you've ever tried to learn FP but struggled with terms like "monad", mathematical concepts like category theory, or symbols like λ, you're not alone. Functional-Light programming distills the most vital aspects of FP—function purity, value immutability, composition, and more!—down to approachable JavaScript patterns. Rather than the all-or-nothing dogmatism often encountered in FP, this book teaches you how to improve your programs line by line.
The Little Schemer
Daniel P. Friedman - 1974
The authors' enthusiasm for their subject is compelling as they present abstract concepts in a humorous and easy-to-grasp fashion. Together, these books will open new doors of thought to anyone who wants to find out what computing is really about. The Little Schemer introduces computing as an extension of arithmetic and algebra; things that everyone studies in grade school and high school. It introduces programs as recursive functions and briefly discusses the limits of what computers can do. The authors use the programming language Scheme, and interesting foods to illustrate these abstract ideas. The Seasoned Schemer informs the reader about additional dimensions of computing: functions as values, change of state, and exceptional cases. The Little LISPer has been a popular introduction to LISP for many years. It had appeared in French and Japanese. The Little Schemer and The Seasoned Schemer are worthy successors and will prove equally popular as textbooks for Scheme courses as well as companion texts for any complete introductory course in Computer Science.
WTF?: What's the Future and Why It's Up to Us
Tim O'Reilly - 2017
In today’s economy, we have far too much dismay along with our amazement, and technology bears some of the blame. In this combination of memoir, business strategy guide, and call to action, Tim O'Reilly, Silicon Valley’s leading intellectual and the founder of O’Reilly Media, explores the upside and the potential downsides of today's WTF? technologies. What is the future when an increasing number of jobs can be performed by intelligent machines instead of people, or done only by people in partnership with those machines? What happens to our consumer based societies—to workers and to the companies that depend on their purchasing power? Is income inequality and unemployment an inevitable consequence of technological advancement, or are there paths to a better future? What will happen to business when technology-enabled networks and marketplaces are better at deploying talent than traditional companies? How should companies organize themselves to take advantage of these new tools? What’s the future of education when on-demand learning outperforms traditional institutions? How can individuals continue to adapt and retrain? Will the fundamental social safety nets of the developed world survive the transition, and if not, what will replace them? O'Reilly is "the man who can really can make a whole industry happen," according to Eric Schmidt, Executive Chairman of Alphabet (Google.) His genius over the past four decades has been to identify and to help shape our response to emerging technologies with world shaking potential—the World Wide Web, Open Source Software, Web 2.0, Open Government data, the Maker Movement, Big Data, and now AI. O’Reilly shares the techniques he's used at O’Reilly Media to make sense of and predict past innovation waves and applies those same techniques to provide a framework for thinking about how today’s world-spanning platforms and networks, on-demand services, and artificial intelligence are changing the nature of business, education, government, financial markets, and the economy as a whole. He provides tools for understanding how all the parts of modern digital businesses work together to create marketplace advantage and customer value, and why ultimately, they cannot succeed unless their ecosystem succeeds along with them.The core of the book's call to action is an exhortation to businesses to DO MORE with technology rather than just using it to cut costs and enrich their shareholders. Robots are going to take our jobs, they say. O'Reilly replies, “Only if that’s what we ask them to do! Technology is the solution to human problems, and we won’t run out of work till we run out of problems." Entrepreneurs need to set their sights on how they can use big data, sensors, and AI to create amazing human experiences and the economy of the future, making us all richer in the same way the tools of the first industrial revolution did. Yes, technology can eliminate labor and make things cheaper, but at its best, we use it to do things that were previously unimaginable! What is our poverty of imagination? What are the entrepreneurial leaps that will allow us to use the technology of today to build a better future, not just a more efficient one?
Whether technology brings the WTF? of wonder or the WTF? of dismay isn't inevitable. It's up to us!
The Future of the Professions: How Technology Will Transform the Work of Human Experts
Richard Susskind - 2015
In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others, to work as they did in the 20th century.The Future of the Professions explains how 'increasingly capable systems' -- from telepresence to artificial intelligence -- will bring fundamental change in the way that the 'practical expertise' of specialists is made available in society.The authors challenge the 'grand bargain' -- the arrangement that grants various monopolies to today's professionals. They argue that our current professions are antiquated, opaque and no longer affordable, and that the expertise of their best is enjoyed only by a few. In their place, they propose six new models for producing and distributing expertise in society.The book raises important practical and moral questions. In an era when machines can out-perform human beings at most tasks, what are the prospects for employment, who should own and control online expertise, and what tasks should be reserved exclusively for people?Based on the authors' in-depth research of more than ten professions, and illustrated by numerous examples from each, this is the first book to assess and question the relevance of the professions in the 21st century.
Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD
Jeremy Howard - 2020
But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.Authors Jeremy Howard and Sylvain Gugger show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.Train models in computer vision, natural language processing, tabular data, and collaborative filteringLearn the latest deep learning techniques that matter most in practiceImprove accuracy, speed, and reliability by understanding how deep learning models workDiscover how to turn your models into web applicationsImplement deep learning algorithms from scratchConsider the ethical implications of your work
The Enigma of Reason
Hugo Mercier - 2017
If reason is so useful, why didn't it also evolve in other animals? If reason is that reliable, why do we produce so much thoroughly reasoned nonsense? In their groundbreaking account of the evolution and workings of reason, Hugo Mercier and Dan Sperber set out to solve this double enigma. Reason, they argue with a compelling mix of real-life and experimental evidence, is not geared to solitary use, to arriving at better beliefs and decisions on our own. What reason does, rather, is help us justify our beliefs and actions to others, convince them through argumentation, and evaluate the justifications and arguments that others address to us.In other words, reason helps humans better exploit their uniquely rich social environment. This interactionist interpretation explains why reason may have evolved and how it fits with other cognitive mechanisms. It makes sense of strengths and weaknesses that have long puzzled philosophers and psychologists--why reason is biased in favor of what we already believe, why it may lead to terrible ideas and yet is indispensable to spreading good ones.Ambitious, provocative, and entertaining, The Enigma of Reason will spark debate among psychologists and philosophers, and make many reasonable people rethink their own thinking.
The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity
Amy Webb - 2019
We like to think that we are in control of the future of "artificial" intelligence. The reality, though, is that we -- the everyday people whose data powers AI -- aren't actually in control of anything. When, for example, we speak with Alexa, we contribute that data to a system we can't see and have no input into -- one largely free from regulation or oversight. The big nine corporations -- Amazon, Google, Facebook, Tencent, Baidu, Alibaba, Microsoft, IBM and Apple--are the new gods of AI and are short-changing our futures to reap immediate financial gain. In this book, Amy Webb reveals the pervasive, invisible ways in which the foundations of AI -- the people working on the system, their motivations, the technology itself -- is broken. Within our lifetimes, AI will, by design, begin to behave unpredictably, thinking and acting in ways which defy human logic. The big nine corporations may be inadvertently building and enabling vast arrays of intelligent systems that don't share our motivations, desires, or hopes for the future of humanity. Much more than a passionate, human-centered call-to-arms, this book delivers a strategy for changing course, and provides a path for liberating us from algorithmic decision-makers and powerful corporations.
Ethics and Data Science
Mike Loukides - 2018
Yet, ethical principles for working with data have been available for decades. The real issue today is how to put those principles into action. With this report, authors Mike Loukides, Hilary Mason, and DJ Patil examine practical ways for making ethical data standards part of your work every day.
To help you consider all of possible ramifications of your work on data projects, this report includes:
A sample checklist that you can adapt for your own procedures
Five framing guidelines (the Five C’s) for building data products: consent, clarity, consistency, control, and consequences
Suggestions for building ethics into your data-driven culture
Now is the time to invest in a deliberate practice of data ethics, for better products, better teams, and better outcomes. Get a copy of this report and learn what it takes to do good data science today.
Dark Pools: The Rise of Artificially Intelligent Trading Machines and the Looming Threat to Wall Street
Scott Patterson - 2012
In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named Island where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables. By then, the market that Levine had sought to fix had turned upside down, birthing secretive exchanges called dark pools and a new species of trading machines that could think, and that seemed, ominously, to be slipping the control of their human masters. Dark Pools is the fascinating story of how global markets have been hijacked by trading robots--many so self-directed that humans can't predict what they'll do next.
Hadoop in Action
Chuck Lam - 2010
The intended readers are programmers, architects, and project managers who have to process large amounts of data offline. Hadoop in Action will lead the reader from obtaining a copy of Hadoop to setting it up in a cluster and writing data analytic programs.The book begins by making the basic idea of Hadoop and MapReduce easier to grasp by applying the default Hadoop installation to a few easy-to-follow tasks, such as analyzing changes in word frequency across a body of documents. The book continues through the basic concepts of MapReduce applications developed using Hadoop, including a close look at framework components, use of Hadoop for a variety of data analysis tasks, and numerous examples of Hadoop in action.Hadoop in Action will explain how to use Hadoop and present design patterns and practices of programming MapReduce. MapReduce is a complex idea both conceptually and in its implementation, and Hadoop users are challenged to learn all the knobs and levers for running Hadoop. This book takes you beyond the mechanics of running Hadoop, teaching you to write meaningful programs in a MapReduce framework.This book assumes the reader will have a basic familiarity with Java, as most code examples will be written in Java. Familiarity with basic statistical concepts (e.g. histogram, correlation) will help the reader appreciate the more advanced data processing examples. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.
Subaltern on the Somme
Max Plowman - 1927
Subaltern on the Somme is a record of his daily life, and ranges across different aspects of his war in the trenches - including fear, shellfire, drunkenness, mud, frustration and his views about his fellow officers and British army commanders. Subaltern on the Somme is for anybody who wonders what trench warfare was like for a junior officer.
If These Walls Could Talk: Boston Red Sox
Jerry Remy - 2019
In If These Walls Could Talk: Boston Red Sox, former player and longtime broadcaster Jerry Remy provides insight into the team's inner sanctum as only he can. Readers will gain the perspective of players, coaches, and personnel in moments of greatness as well as defeat, making for a keepsake no fan will want to miss.