Machine Learning: The New AI
The MIT Press Essential Knowledge Series
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Narrated by:
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Steven Menasche
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By:
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Ethem Alpaydi
About this listen
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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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
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Tesla
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- 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
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No Place to Hide
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In May 2013, Glenn Greenwald set out for Hong Kong to meet an anonymous source who claimed to have astonishing evidence of pervasive government spying and insisted on communicating only through heavily encrypted channels. That source turned out to be the 29-year-old NSA contractor Edward Snowden, and his revelations about the agency’s widespread, systemic overreach proved to be some of the most explosive and consequential news in recent history, triggering a fierce debate over national security....
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Best Read in Print Format
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By: Glenn Greenwald
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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
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The Book of Satoshi
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The Book of Satoshi, the collected writings of Satoshi Nakamoto, creator of the bitcoin. The foreword was written by Jeff Berwick.
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Great historic read that'll teach the blockchain
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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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Glow Kids
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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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The Box
- How the Shipping Container Made the World Smaller and the World Economy Bigger
- By: Marc Levinson
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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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Social Media Marketing Workbook: 2024 Edition - How to Use Social Media for Business
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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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Millennium
- From Religion to Revolution: How Civilization Has Changed over a Thousand Years
- By: Ian Mortimer
- Narrated by: John Lee
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In Millennium, best-selling historian Ian Mortimer takes the listener on a whirlwind tour of the last 10 centuries of Western history. It is a journey into a past vividly brought to life and bursting with ideas, that pits one century against another in his quest to measure which century saw the greatest change. We journey from a time when there was a fair chance of your village being burned to the ground by invaders - and dried human dung was a recommended cure for cancer - to a world in which explorers sailed into the unknown and civilizations came into conflict.
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Bad ending - literally
- By John Gordon on 12-14-16
By: Ian Mortimer
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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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- 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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Performance
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Story
- 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