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Machine Learning: The New AI
- The MIT Press Essential Knowledge Series
- Narrated by: Steven Menasche
- Length: 4 hrs and 24 mins
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Publisher's summary
Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition - as well as some we don't yet use every day, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as "Big Data" has gotten bigger, the theory of machine learning - the foundation of efforts to process that data into knowledge - has also advanced.
In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of "data science," and discusses the ethical and legal implications for data privacy and security.
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This Is Not a Game is the extraordinary untold story of the internet’s first conspiracy theory, the legend of Ong’s Hat. Marc Fennell will dive deep into a previously unexplored world of tech hippies, eccentric web subcultures and simmering paranoia, uncovering how this tongue-in-cheek artistic experiment backfired on its creator and went on to influence much of what’s wrong with the internet today.
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WOW!
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Click Here to Kill Everybody
- Security and Survival in a Hyper-connected World
- By: Bruce Schneier
- Narrated by: Roger Wayne
- Length: 8 hrs and 6 mins
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Everything is a computer. Ovens are computers that make things hot; refrigerators are computers that keep things cold. These computers - from home thermostats to chemical plants - are all online. All computers can be hacked. And Internet-connected computers are the most vulnerable. Forget data theft: Cutting-edge digital attackers can now crash your car, your pacemaker, and the nation’s power grid. In Click Here to Kill Everybody, renowned expert and best-selling author Bruce Schneier examines the hidden risks of this new reality.
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Same old Bruce
- By Fausto Cepeda on 04-03-19
By: Bruce Schneier
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Tesla
- Inventor of the Electrical Age
- By: W. Bernard Carlson
- Narrated by: Allan Robertson
- Length: 16 hrs and 11 mins
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Nikola Tesla was a major contributor to the electrical revolution that transformed daily life at the turn of the 20th century. His inventions, patents, and theoretical work formed the basis of modern AC electricity, and contributed to the development of radio and television. Like his competitor Thomas Edison, Tesla was one of America's first celebrity scientists, enjoying the company of New York high society and dazzling the likes of Mark Twain with his electrical demonstrations. An astute self-promoter and gifted showman, he cultivated a public image of the eccentric genius.
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A detailed examination of Tesla's work
- By Jean on 02-01-14
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Super Pumped
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A New York Times technology correspondent presents the dramatic rise and fall of Uber, set against the rapid upheaval in Silicon Valley during the mobile era. Based on hundreds of interviews with current and former Uber employees, along with previously unpublished documents, Super Pumped is a pause-resisting story of ambition and deception, obscene wealth, and bad behavior, that explores how blistering technological and financial innovation culminated in one of the most catastrophic 12-month periods in American corporate history.
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A forced narrative and a bad version of Bad Blood
- By Benji on 09-09-19
By: Mike Isaac
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Prediction Machines
- The Simple Economics of Artificial Intelligence
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Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. 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 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.
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Not sure what I was expecting, but underwhelmed
- By William J Brown on 09-27-18
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Algorithms of Oppression
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Run a Google search for “black girls” - what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls”, the results are radically different. The suggested porn sites and un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.
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Read this book. Tell everyone you know about it.
- By Joshua Daniel-Wariya on 06-06-19
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Our Final Invention
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Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the "smart" in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence. In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring billions into achieving AI’s Holy Grail - human-level intelligence.
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Kind of chilling
- By Keegan on 04-11-15
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Glow Kids
- How Screen Addiction Is Hijacking Our Kids - and How to Break the Trance
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- Narrated by: Jonathan Davis
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In Glow Kids, Dr. Nicholas Kardaras will examine how technology - more specifically, age-inappropriate screen tech, with all of its glowing ubiquity - has profoundly affected the brains of an entire generation. Brain imaging research is showing that stimulating glowing screens are as dopaminergic (dopamine activating) to the brain’s pleasure center as sex. And a growing mountain of clinical research correlates screen tech with disorders like ADHD, addiction, anxiety, depression, increased aggression, and even psychosis.
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Fear Mongering - a modern day Mazes and Monsters
- By Veronica on 11-03-20
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Tor Darknet Bundle (5 in 1) Master the Art of Invisibility (Bitcoins, Hacking, Kali Linux)
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The best five books on anonymity in existence! Want to surf the web anonymously? Cloak yourself in shadow on the Deep Web or The Hidden Wiki? I will show you how to become a ghost in the machine - leaving no tracks back to your ISP - whether on the Deep Web or regular Internet. This audiobook covers it all: encrypting your files, securing your PC, masking your Online footsteps with Tor, VPNs, Freenet, and bitcoins, and all while giving you peace of mind with total 100 percent anonymity.
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Technical deficiencies
- By Byzantine Technologies LLC on 07-16-19
By: Lance Henderson
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On Intelligence
- By: Jeff Hawkins, Sandra Blakeslee
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Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself.
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Epiphany
- By James on 03-14-05
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Text read does not match the book
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Outdated
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What listeners say about Machine Learning: The New AI
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- Thomas
- 02-19-18
It's hard to explain machine learning without math
Would you recommend this book to a friend? Why or why not?
I don't really fault the author, but it is very hard to explain such a complicated subject as machine learning in a simple way. Indeed, if I hadn't read Domingues' "the master algorithm" – which I highly recommend instead – I would say it's impossible. Even if you only want to know what all the hype is about without being interested in all the details, I'm not sure this book will be worth your time.
It's hard to find books on machine learning that don't use advanced math. Unfortunately, I think that, in order to go beyond the surface, some amount of math is necessary – even for in introduction. Some things are actually more clear if you put them in equations. Thus, what I would recommend instead (in addition to reading "the master algorithm" for the intuition), is to watch Domingues' (search for "csep 546") and Victor Lavrenko's lectures on machine learning on YouTube, as well as reading Hastie & T.'s "introduction to statistical learning" (which also has free videos available somewhere).
If this is not an option for you because you're looking for a easy read or something available as an audiobook, I can recommend Nate Silver's "the signal and the noise", as well as books that focus more on applications of machine learning, as well as its effect on the economy and society, etc. (my personal favorites are "the second machine age", "machine, platform, crowd", and "the platform revolution" – all available as audiobooks).
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3 people found this helpful
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- Dan Collins
- 11-16-16
Decent Coverage with Mediocre Accessibility
The author covers the topic well enough and the listener that is able to maintain focus will end up conversant in the topic of machine learning and its associated industries. I am fairly technical, and I had trouble staying engaged with this book. Information rich, but not evocative. Which is probably an unfair accusation to level at any text on such a geeky topic, but there you go dear listener.
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5 people found this helpful
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- Michael
- 11-03-17
Interesting concepts with very dry reading
These topics could be a little more exciting if the orator sounded the least bit exciting. True to the book itself, I️ felt like a machine was reading to me.
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1 person found this helpful
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- Bolotin Dmitriy
- 11-26-16
Great overview of the field!
Unfortunately, as the field development is vert rapid, the book will start to become outdated in 2017-2018. Some topics already feels missing some small, but important parts from 2016. Anyway, it is definitely recommended for listening, at least in 2017, ~2018.
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Overall
- Wax Mathews
- 07-24-17
very broad, shallow knowledge...good for beginners
not a significant or memorable work, but a good introduction to outsiders and non tech people.
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- Timo Mäkimattila
- 01-18-17
The voice is annoying
Can't say anything about the book because I won't listen to it beyond the first chapter. The narrator is overracting in an reverbing room. I'm giving the current four star rating because it isn't the books fault.
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5 people found this helpful
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- Jay
- 02-06-18
Informative and well read
I selected this book as an intro to machine learning. It was very informative and used simple real world scenarios to make concepts easy to digest.
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- R
- 02-02-17
Excelente libro!
excelente punto de partida para entender learning machine y las distintas ramas o métodos que abarca. creo es ideal como cultura general, para negocios o incluso para estudiantes que arrancan en el mundo de la ciencia
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- Matthew J Baker
- 01-03-17
Solid overview
A solid book that gives a bird's eye view of the subject and basic problems.
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- KHarrison
- 05-05-17
Wrong narrator and not enough up to date info
Any additional comments?
The narrator sounded like he was reading a real estate sales manual. The material was neither super technical like Andrew Ngs work nor enough of a high level positioning to make it worthwhile on either end.
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6 people found this helpful