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Deep Learning
- MIT Press Essential Knowledge Series
- Narrated by: Joel Richards
- Length: 5 hrs and 49 mins
- Categories: Computers & Technology, Computer Science
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Life 3.0
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Penguin Audio presents Life 3.0 by Max Tegmark, read by Rob Shapiro. We stand at the beginning of a new era. What was once science fiction is fast becoming reality, as AI transforms war, crime, justice, jobs and society - and even our very sense of what it means to be human. More than any other technology, AI has the potential to revolutionise our collective future - and there's nobody better situated to explore that future than Max Tegmark, an MIT professor and cofounder of the Future of Life Institute, whose work has helped mainstream research on how to keep AI beneficial.
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Entertaining and thought provoking.
- By Heisenberg on 09-04-18
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When "metadata" became breaking news, appearing in stories about surveillance by the National Security Agency, many members of the public encountered this once-obscure term from information science for the first time. Should people be reassured that the NSA was "only" collecting metadata about phone calls - information about the caller, the recipient, the time, the duration, the location - and not recordings of the conversations themselves? Or does phone call metadata reveal more than it seems?
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Data Science
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It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.
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Thinking in Systems
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In the years following her role as the lead author of the international best seller, Limits to Growth - the first book to show the consequences of unchecked growth on a finite planet - Donella Meadows remained a pioneer of environmental and social analysis until her untimely death in 2001. Thinking in Systems is a concise and crucial book offering insight for problem-solving on scales ranging from the personal to the global. Edited by the Sustainability Institute's Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world....
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Applicable tools and techniques
- By Mr David Igoe on 17-04-19
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HBR's 10 Must Reads on Managing People
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Managing people is fraught with challenges - even if you're a seasoned manager. Here's how to handle them. If you listen to nothing else on managing people, you should at least hear these 10 articles.
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Some great insights
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Rebooting AI
- Building Artificial Intelligence We Can Trust
- By: Gary Marcus, Ernest Davis
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Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Taking inspiration from the human mind, professors Gary Marcus and Ernest Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.
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Great antidote to AI overselling
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Life 3.0
- By: Max Tegmark
- Narrated by: Rob Shapiro
- Length: 13 hrs and 29 mins
- Unabridged
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Overall
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Performance
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Story
Penguin Audio presents Life 3.0 by Max Tegmark, read by Rob Shapiro. We stand at the beginning of a new era. What was once science fiction is fast becoming reality, as AI transforms war, crime, justice, jobs and society - and even our very sense of what it means to be human. More than any other technology, AI has the potential to revolutionise our collective future - and there's nobody better situated to explore that future than Max Tegmark, an MIT professor and cofounder of the Future of Life Institute, whose work has helped mainstream research on how to keep AI beneficial.
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Entertaining and thought provoking.
- By Heisenberg on 09-04-18
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Metadata
- The MIT Press Essential Knowledge Series
- By: Jeffrey Pomerantz
- Narrated by: Steven Menasche
- Length: 5 hrs and 8 mins
- Unabridged
-
Overall
-
Performance
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Story
When "metadata" became breaking news, appearing in stories about surveillance by the National Security Agency, many members of the public encountered this once-obscure term from information science for the first time. Should people be reassured that the NSA was "only" collecting metadata about phone calls - information about the caller, the recipient, the time, the duration, the location - and not recordings of the conversations themselves? Or does phone call metadata reveal more than it seems?
-
Data Science
- By: John D. Kelleher, Brendan Tierney
- Narrated by: Chris Sorensen
- Length: 5 hrs and 51 mins
- Unabridged
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Overall
-
Performance
-
Story
It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.
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Thinking in Systems
- A Primer
- By: Donella H. Meadows
- Narrated by: Tia Rider Sorensen
- Length: 6 hrs and 26 mins
- Unabridged
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Overall
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Performance
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Story
In the years following her role as the lead author of the international best seller, Limits to Growth - the first book to show the consequences of unchecked growth on a finite planet - Donella Meadows remained a pioneer of environmental and social analysis until her untimely death in 2001. Thinking in Systems is a concise and crucial book offering insight for problem-solving on scales ranging from the personal to the global. Edited by the Sustainability Institute's Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world....
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Applicable tools and techniques
- By Mr David Igoe on 17-04-19
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HBR's 10 Must Reads on Managing People
- By: W. Chan Kim, Daniel Goleman, Jon R. Katzenbach, and others
- Narrated by: Mark Cabus, Susan Larkin
- Length: 8 hrs and 7 mins
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Overall
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Performance
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Managing people is fraught with challenges - even if you're a seasoned manager. Here's how to handle them. If you listen to nothing else on managing people, you should at least hear these 10 articles.
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Some great insights
- By Kenny Marshall on 27-10-16
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Rebooting AI
- Building Artificial Intelligence We Can Trust
- By: Gary Marcus, Ernest Davis
- Narrated by: Kaleo Griffith
- Length: 7 hrs and 24 mins
- Unabridged
-
Overall
-
Performance
-
Story
Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Taking inspiration from the human mind, professors Gary Marcus and Ernest Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.
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Great antidote to AI overselling
- By Thomas Z. Ramsoy on 14-07-20
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Machine Learning: The New AI
- The MIT Press Essential Knowledge Series
- By: Ethem Alpaydi
- Narrated by: Steven Menasche
- Length: 4 hrs and 24 mins
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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.
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awesome background and nice summary of current tec
- By Mr Phillip Ash on 12-07-17
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Artificial Intelligence
- The Insights You Need from Harvard Business Review
- By: Harvard Business Review, Thomas H Davenport, Erik Brynjolfsson, and others
- Narrated by: Jonathan Todd Ross
- Length: 3 hrs and 31 mins
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From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI? Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution.
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The Hard Thing About Hard Things
- Building a Business When There Are No Easy Answers
- By: Ben Horowitz
- Narrated by: Kevin Kenerly
- Length: 7 hrs and 57 mins
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Ben Horowitz, cofounder of Andreessen Horowitz and one of Silicon Valley’s most respected and experienced entrepreneurs, offers essential advice on building and running a startup--practical wisdom for managing the toughest problems business school doesn’t cover, based on his popular ben’s blog. While many people talk about how great it is to start a business, very few are honest about how difficult it is to run one.
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best management book I've ever read
- By Simon on 01-11-16
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Computational Thinking
- By: Peter J. Denning, Matti Tedre
- Narrated by: Steven Jay Cohen
- Length: 5 hrs and 56 mins
- Unabridged
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A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, "computational thinking" has become part of the K-12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview.
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Advances in Financial Machine Learning
- By: Marcos Lopez de Prado
- Narrated by: Steven Jay Cohen
- Length: 12 hrs and 58 mins
- Unabridged
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Performance
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Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.
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Deep Learning with Python
- By: Francois Chollet
- Narrated by: Mark Thomas
- Length: 9 hrs and 55 mins
- Unabridged
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Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
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Very difficult to follow
- By Richard Millen on 13-04-20
Summary
Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution.
Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning-major trends, possible developments, and significant challenges.
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What listeners say about Deep Learning
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- Elliot Blanford
- 27-10-19
Yikes
This is pretty much unintelligible. About half of it is the guy reading off equations so slowly that it’s impossible (for me anyway) to picture what he’s saying. “Right bracket x sub zero equals open parentheses a plus b smaller parentheses y sub 1 close small parentheses....” come on man nobody thinks like that
3 people found this helpful
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- Pedro B
- 04-07-20
Inexperienced narrator on the field
This book is unlike normal books. You simply cannot proficiently read a book filled with images and formulas on such a technical subject without having a thorough understanding of the content. The narrator, unfortunately, and very clearly, has absolutely no idea of what he's reading. The way he over-describes formulas and under-describes images (or worse, doesn't describe at all, no matter how simple) makes you require to go back and forth between written book more often than would be desired. As for the book itself, I'm really enjoying the overview this gives on the subject. I bought it alongside the kindle version, and if you must get this narration, please get the printed version as well so you're able to follow what's being said.
1 person found this helpful
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- alfarisi
- 23-10-19
very good book
the book a gives a comprehensive introduction, I needed two days to finish as it is very clear and direct to the point.