-
The Second Age of Computer Science
- From Algol Genes to Neural Nets
- Narrated by: Mike Chamberlain
- Length: 14 hrs and 38 mins
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Publisher's summary
By the end of the 1960s, a new discipline named computer science had come into being. A new scientific paradigm - the "computational paradigm" - was in place, suggesting that computer science had reached a certain level of maturity. Yet as a science, it was still precociously young. New forces, some technological, some socioeconomic, some cognitive, impinged upon it; the outcome of which was that new kinds of computational problems arose over the next two decades. Indeed, by the beginning of the 1990s, the structure of the computational paradigm looked markedly different in many important respects from how it was at the end of the 1960s.
Author Subrata Dasgupta named the two decades from 1970 to 1990 as the second age of computer science to distinguish it from the preceding genesis of the science and the age of the Internet/World Wide Web that followed. This book describes the evolution of computer science in this second age in the form of seven overlapping, intermingling, parallel histories that unfold concurrently in the course of the two decades.
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Throughout history, thinkers from mathematicians to theologians have pondered the mysterious relationship between numbers and the nature of reality. In this fascinating book, Mario Livio tells the tale of a number at the heart of that mystery: phi, or 1.6180339887.... This curious mathematical relationship, widely known as "The Golden Ratio", was discovered by Euclid more than 2,000 years ago. Since then it has shown a propensity to appear in the most astonishing variety of places.
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Tedious Listen
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By: Mario Livio
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The Master Algorithm
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Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.
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The Landscape of History
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What is history, and why should we study it? Is there such a thing as historical truth? Is history a science? One of the most accomplished historians at work today, John Lewis Gaddis, answers these and other questions in this short, witty, and humane book. The Landscape of History provides a searching look at the historian's craft as well as a strong argument for why a historical consciousness should matter to us today.
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Excellent Book!
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The Future of the Professions
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This book predicts the decline of today's professions and describes the people and systems that will replace them. 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.
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I Hope It's Not All True
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The Book of Why
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"Correlation does not imply causation". This mantra has been invoked by scientists for decades and has led to a virtual prohibition on causal talk. But today, that taboo is dead. The causal revolution, sparked by Judea Pearl and his colleagues, has cut through a century of confusion and placed causality - the study of cause and effect - on a firm scientific basis.
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Great book! Not a great audiobook.
- By rrwright on 05-30-18
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Entangled Minds
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Performance
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Is everything connected? Can we sense what's happening to loved ones thousands of miles away? Why are we sometimes certain of a caller's identity the instant the phone rings? Do intuitive hunches contain information about future events? Is it possible to perceive without the use of the ordinary senses? Many people believe that such "psychic phenomena" are rare talents or divine gifts. Others don't believe they exist at all. But the latest scientific research shows that these phenomena are both real and widespread.
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- By rebekah higgins on 01-12-20
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The Shallows
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Weaving insights from philosophy, neuroscience, and history into a rich narrative, The Shallows explains how the internet is rerouting our neural pathways, replacing the subtle mind of the book reader with the distracted mind of the screen watcher. A gripping story of human transformation played out against a backdrop of technological upheaval, The Shallows will forever alter the way we think about media and our minds.
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It is not consistant, so it is frustrating.
- By Adam Shields on 08-03-12
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Too Big To Know
- Rethinking Knowledge Now That the Facts Aren't the Facts, Experts Are Everywhere, and the Smartest Person in the Room Is the Room
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We used to know how to know. We got our answers from books or experts. We'd nail down the facts and move on. But in the Internet age, knowledge has moved onto networks. There's more knowledge than ever, of course, but it's different. Topics have no boundaries, and nobody agrees on anything.Yet this is the greatest time in history to be a knowledge seeker - if you know how.
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Good to know ...
- By John B. Fisher on 01-24-12
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Thinking Machines
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- By: Luke Dormehl
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When most of us think about artificial intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that artificial intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate.
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Mostly platitudes with no depth
- By Gary on 03-24-17
By: Luke Dormehl
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What listeners say about The Second Age of Computer Science
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- Kindle Customer
- 12-28-22
audible version (loved it)
I really wanted to get my bearings on why programs and computers are set up how they are. I work in IT and maintain lots of legacy code.
this book really helped me understand the long arm of history that got programs to where they are, and I wish I could listen to the same author about modern day languages. (this only goes up to like the 80's).
I got used to the code snippets being said line by line and, honestly, it's turned into a useful practice for picturing what the code did.
definitely would recommend this to any starting dev or curious programmer or historian of technology. very fun.
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