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Artificial Intelligence
- What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future
- Narrated by: Brian R. Scott
- Length: 3 hrs and 24 mins
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Summary
Are you confused about what all the rage behind artificial intelligence is and would like to learn more?
This audiobook covers everything from machine learning to robotics and the internet of things.
You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook.
By the time you finish listening, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.
You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driverless cars of today.
Here’s just a tiny fraction of what you’ll discover:
- Understand how machines can “think” and how they learn
- Learn the five reasons why experts are warning us about AI research
- Find the answers to the top six myths of artificial intelligence
- Learn what neural networks are and how they work, the “brains” of machine learning
- Understand reinforcement learning and how it is used to teach machine learning systems through experience
- Become up-to-date with the current state-of-the-art artificial intelligence methods that use deep learning
- Learn the basics of recommender systems
- Expand your current view of machines and what is possible with modern robotics
- Enter the vast world of the internet of things technologies
- Find out why AI is the new business degree
- And much, much more!
What listeners say about Artificial Intelligence
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- ramsey tarabin
- 15-03-19
Good introduction
This is a good start for an I yroduction into AI. Worth a read thanks
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- Dewey
- 30-07-19
Awful narration: interesting topic
Given the topic, I couldn’t help wonder if it was a human reading the book. The lack of human warmth in narration was off-putting. As such at times, whilst finding the topic of interest, retaining focus was somewhat of a challenge.
Overall, there are I imagine more balanced, better written starting points to this topic. I am also unsure who the target audience is for this title given the frequent references to statistical models and theories alongside sections discussing heuristics etc etc. Hardly absolute beginner concepts.
My biggest gripe however is the lack of criticality throughout the book when discussing some of the concerns posited by some who are wary of AI. A smaller niggle would the odd jump in writing styles from an almost academic to vernacular style in a single sentence.
I have certainly learnt a few things listening to the book, but suspect a good editor is needed to tidy things up if a second edition is written.
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