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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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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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Steven Levy's classic book traces the exploits of the computer revolution's original hackers - those brilliant and eccentric nerds from the late 1950s through the early '80s who took risks, bent the rules, and pushed the world in a radical new direction. With updated material from noteworthy hackers such as Bill Gates, Mark Zuckerberg, Richard Stallman, and Steve Wozniak, Hackers is a fascinating story that begins in early computer research labs and leads to the first home computers.
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Remember Why You Got Into Computing
- By Dan Collins on 07-01-16
By: Steven Levy
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The Box
- How the Shipping Container Made the World Smaller and the World Economy Bigger
- By: Marc Levinson
- Narrated by: Adam Lofbomm
- Length: 12 hrs and 20 mins
- Unabridged
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In April 1956, a refitted oil tanker carried 58 shipping containers from Newark to Houston. From that modest beginning, container shipping developed into a huge industry that made the boom in global trade possible. The Box tells the dramatic story of the container's creation, the decade of struggle before it was widely adopted, and the sweeping economic consequences of the sharp fall in transportation costs that containerization brought about.
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Fascinating Topic sometimes lost in minutiae
- By zombie64 on 07-15-14
By: Marc Levinson
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The Master Switch
- The Rise and Fall of Information Empires
- By: Tim Wu
- Narrated by: Marc Vietor
- Length: 14 hrs and 11 mins
- Unabridged
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Could history repeat itself, with one giant entity taking control of American information? Most consider the Internet Age to be a moment of unprecedented freedom in communications and culture. But as Tim Wu shows, each major new medium, from telephone to cable, arrived on a similar wave of idealistic optimism only to become, eventually, the object of industrial consolidation profoundly affecting how Americans communicate.
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Great Read
- By Roy on 11-12-10
By: Tim Wu
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Social Media Marketing Workbook: 2024 Edition - How to Use Social Media for Business
- By: Jason McDonald PhD
- Narrated by: Michael Goodrick
- Length: 14 hrs and 37 mins
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Learn social media marketing in plain English—step by step! Buy the workbook used at Stanford Continuing Studies to teach social media marketing for business. The 2023 updated edition—all info verified and a new chapter on TikTok, plus revisions on LinkedIn, Facebook, and other major platforms....
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Great SM Reference
- By Anne on 12-31-18
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Slenderman
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- By: Kathleen Hale
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- Length: 9 hrs and 31 mins
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On May 31, 2014, in the Milwaukee suburb of Waukesha, Wisconsin, two 12-year-old girls attempted to stab their classmate to death. Morgan Geyser and Anissa Weier’s violence was extreme, but what seemed even more frightening was that they committed their crime under the influence of a figure born by the internet: the so-called “Slenderman”. Yet the even more urgent aspect of the story, that the children involved suffered from undiagnosed mental illnesses, often went overlooked in coverage of the case.
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Excellent narration
- By Pink Amy on 08-21-22
By: Kathleen Hale
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Super Pumped
- The Battle for Uber
- By: Mike Isaac
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- Length: 12 hrs and 52 mins
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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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The Complete Software Developer's Career Guide
- How to Learn Programming Languages Quickly, Ace Your Programming Interview, and Land Your Software Developer Dream Job
- By: John Sonmez
- Narrated by: John Sonmez
- Length: 20 hrs and 4 mins
- Unabridged
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Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.
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The Complete Bro-grammer's Career Guide
- By Leels on 09-18-19
By: John Sonmez
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Tesla
- Inventor of the Electrical Age
- By: W. Bernard Carlson
- Narrated by: Allan Robertson
- Length: 16 hrs and 11 mins
- Unabridged
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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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On Intelligence
- By: Jeff Hawkins, Sandra Blakeslee
- Narrated by: Jeff Hawkins, Stefan Rudnicki
- Length: 9 hrs and 22 mins
- Unabridged
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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
By: Jeff Hawkins, and others
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Algorithms of Oppression
- How Search Engines Reinforce Racism
- By: Safiya Umoja Noble
- Narrated by: Shayna Small
- Length: 6 hrs and 21 mins
- Unabridged
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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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Probably the best audio book available on Deep Learning
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Hard to Believe it an "MIT Press" Thing
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Great book, not for beginners.
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Hard to Believe it an "MIT Press" Thing
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A great introductory read on the brain.
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Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.
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Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permitted the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.
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Not bad, but...
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Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact.
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Artificial Intelligence Basics
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In this volume in the MIT Press Essential Knowledge series, Amaranth Borsuk considers the history of the book, the future of the book, and the idea of the book. Tracing the interrelationship of form and content in the book's development, she bridges book history, book arts, and electronic literature to expand our definition of an object we thought we knew intimately. Contrary to the many reports of its death (which has been blamed at various times on newspapers, television, and e-readers), the book is alive.
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Multiple chapters without a point
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it's okay
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I decided not to finsh it.
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BEWARE - No accompanying PDF!
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Architects of Intelligence
- By GEORGE D RICE on 01-12-20
By: Martin Ford
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Machine Translation
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The dream of a universal translation device goes back many decades, long before Douglas Adams's fictional Babel fish provided this service in The Hitchhiker's Guide to the Galaxy. Since the advent of computers, research has focused on the design of digital machine translation tools - computer programs capable of automatically translating a text from a source language to a target language. This has become one of the most fundamental tasks of artificial intelligence.
By: Thierry Poibeau
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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- pandrenyc
- 12-01-16
Narrator not suited to the material
Really wanted to hear this book, but had to give up half way through chapter one. The theatrical delivery was too distracting and is not well sited to such a technical topic. Annunciation also very jarring for headphone listening. Disappointing.
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14 people found this helpful
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- Amazon Customer
- 01-23-17
No
A little info about machine learning at the end, after wadding through chapters of shallow pedantism about the history of computing.
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12 people found this helpful
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- Al Dante
- 02-07-17
Complete waste of time
This book is one platitude after another. If you didn't know that "a smartphone is a computer that is always online", or that "People can "surf" the web", then this book will tell you those facts without explaining them. The subject material is treated similarly. Recommender systems, neural networks, deep learning - the most superficial description is given of each, but certainly no detail how they are trained or actually work.
Save your money.
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8 people found this helpful
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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
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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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- 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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- 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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- 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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- 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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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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