Machine Learning Box Set: 2 Books in 1
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Narrated by:
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Russell Archey
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By:
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John Slavio
About this listen
Machine Learning Box Set (2 Books in 1)
Book 1: Machine Learning This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications, and also a few examples of the different types of machine learning.
Here's a preview of what you'll learn:
- Introduction to machine learning
- Different applications of machine learning
- Introduction to statistics for machine learning
- Supervised learning
- Unsupervised learning
- Reinforced learning
- Conclusion
Book 2: Neural Networks
Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to achieve this. Neural Networks are good at processing complex, non-linear relationships and are used in forecasting, image processing, and character recognition.
Here's what you'll learn:
- What are artificial neural networks?
- Fundamentals of neural networks
- Activation paradigms
- Learning paradigms
- Multilayer perceptron
- Practical application - text recognition
- Practical application - image processing
- Problems with neural networks
Buy this audiobook today!
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We used to know how to know. We got our answers from books or experts. We'd nail down the facts and move on. But in the Internet age, knowledge has moved onto networks. There's more knowledge than ever, of course, but it's different. Topics have no boundaries, and nobody agrees on anything.Yet this is the greatest time in history to be a knowledge seeker - if you know how.
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Good to know ...
- By John B. Fisher on 01-24-12
By: David Weinberger
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Smart Thinking
- Three Essential Keys to Solve Problems, Innovate, and Get Things Done
- By: Art Markman
- Narrated by: Sean Pratt
- Length: 7 hrs and 11 mins
- Unabridged
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Think smart people are just born that way? Think again. Drawing on diverse studies of the mind, from psychology to linguistics, philosophy, and learning science, Art Markman, Ph.D., demonstrates the difference between "smart thinking" and raw intelligence, showing listeners how memory works, how to learn effectively, and how to use knowledge to get things done. He then introduces his own three-part formula for listeners to employ "smart thinking" in their daily lives.
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I feel asleep in class
- By Lee on 12-14-12
By: Art Markman
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In Pursuit of Elegance
- Why the Best Ideas Have Something Missing
- By: Matthew E. May
- Narrated by: Malcolm Hillgartner
- Length: 5 hrs and 46 mins
- Unabridged
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In this thought-provoking exploration, Matthew May defines elegance as the elusive combination of unusual simplicity and surprising power, and pinpoints the four key elements that characterize it: seduction, subtraction, symmetry, and sustainability. In a story-driven narrative that sheds light on the need for elegance in design, engineering, physics, art, urban planning, sports, and work, May offers a surprising array of stories that illustrate why what's "not there" often matters more than what is.
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I love elegance, but this book isn't elegant
- By Oliver Nielsen on 06-26-11
By: Matthew E. May
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Outnumbered
- Exploring the Algorithms That Control Our Lives
- By: David Sumpter
- Narrated by: David West
- Length: 8 hrs and 1 min
- Unabridged
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Our increasing reliance on technology and the Internet has opened a window for mathematicians and data researchers to gaze through into our lives. Using the data they are constantly collecting about where we travel, where we shop, what we buy, what interests us, they can begin to predict our daily habits, and increasingly we are relinquishing our decision making to algorithms - are we giving up this up too easily?
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A good reality check for "Cambridge Hyperbolitica"
- By Haggai Elkayam on 08-06-18
By: David Sumpter
What listeners say about Machine Learning Box Set: 2 Books in 1
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- Yolanda Headen
- 11-25-18
Great book - detailed and practical.
This is the best book I've seen for professional software engineers to bootstrap themselves into Data Science, Machine Learning and (with the 2nd ed) Deep Learning. It makes heavy use of the scikit-learn library; and the latter chapters give an excellent high-level overview of TensorFlow. Books in this space can often feel either too basic or too academic. Not this one -- for me it hits the sweet spot of explaining and doing.
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- Abigale
- 11-23-18
Clear and concise
This is the best machine learning book. The author breaks things done into simple easy to understand components. I now have a better understanding of what the ML engineers are discussing.
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- Anonymous User
- 11-24-18
One great introductory.
I was able to understand the importance of using machine learning algorithms with this piece. One great introductory to start with. Every reader who’s looking forward to studying ML should grab this.
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- jhon carry
- 11-26-18
very pleased with this book
The book is an introduction to machine learning techniques which covers many of the topics without going into any detailed explanations. The focus is on how to use and understand ML rather than the math behind the algorithms.
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- Parker
- 10-28-18
Great job
Gives a great introduction while instigating your curiosity to explore and learn more. Love it. Would request the author to write a sequel.
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- Sophia
- 11-27-18
Practical information
Really informative! This is a great resource for anyone looking to gain conceptual aspects of data science as well as some practical, production-ready techniques. Highly recommend.
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- Anonymous User
- 11-23-18
Nice Audiobook
Clear self-contained chapters with to the point concise explanations. It covers a vast majority of different techniques, and trying to present the ideas and intuitions why this method works or how this method is an implementation of a simpler idea.
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- Caleb
- 10-28-18
Practical information!!!
I take the courage to dive into this book. It gives me a lot of great information I never believed I can understand them. The book covers all the important topics on deep learning and it provides a lot of code examples. I am extremely happy with it.
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- Anonymous User
- 11-24-18
Speeds up my learning.
Helps readers speed up with machine learning. Every data scientist would recommend this with its accurate and updated details. It’s even delivered in a fascinating way, leaving no room for dull moments.
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- Ella Gonzales
- 11-22-18
Pleased with this book.
I learned the basic elements of this subject the fast and proper way. Kumar indeed knows how to please his readers. From the basics to algorithmic paradigms, the author has presented them in a principled way. I’m pretty glad I didn’t doubt this book when I set my eyes on it.
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