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Machine Learning for Beginners
- Algorithms, Decision Tree & Random Forest Introduction
- Narrated by: Lukas Arnold
- Length: 1 hr and 23 mins
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Machine Learning for Beginners
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Summary
Machines can learn?!
Machine learning occurs primarily through the use of "algorithms" and other elaborate procedures.
Whether you're a novice, intermediate, or expert this book will teach you all the ins, outs and everything you need to know about machine learning.
Instead of spending hundreds or even thousands of dollars on courses/materials why not listen to this audiobook instead? It's a worthwhile listen and the most valuable investment you can make for yourself.
What you'll learn:
- Supervised learning
- Unsupervised learning
- Reinforced learning
- Algorithms
- Decision tree
- Random forest
- Neural networks
- Python
- Deep learning
- And much, much more!
This is the most comprehensive and easy step-by-step guide in machine learning that exists.
Learn from one of the most reliable programmers alive and expert in the field.
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What listeners say about Machine Learning for Beginners
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Overall4 out of 5 stars
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Performance5 out of 5 stars
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Story4 out of 5 stars
- Bertha
- 22-11-17
very informative
I've been curious about this subject for a while and recently started to do some research. This book provided a nice high-level understanding of the topic and it's related subject matter.
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1 person found this helpful
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Overall5 out of 5 stars
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Performance4 out of 5 stars
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Story5 out of 5 stars
- Katie
- 22-11-17
thank you
The title says it all. I have been introduced to ML as an absolute beginner. Great examples and easy . Thank you
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1 person found this helpful
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story4 out of 5 stars
- Carious
- 22-11-17
great overview
This is a fantastic book for the absolute beginner. Although extremely elementary in content, it is very useful for someone with no background
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1 person found this helpful
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story4 out of 5 stars
- Phil Muniz
- 22-11-17
WELL EXPLAINED
Highly visual and easy to follow
I'd strongly recommend this book. What I liked about it were the visual explanations of algorithms and the practical explanation of k-means clustering, PCA and linear regression. There's not the same detailed guide for the chapter on neutral networks which was a shame. but it is an absolute beginner's book after all.
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Overall5 out of 5 stars
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- H. Hampton
- 22-11-17
must listen
Technical enough to make me feel like I was learning things but broad enough to let me read through the book without any hiccups
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1 person found this helpful
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Overall5 out of 5 stars
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- Abufarims
- 20-11-17
nice book
The book is a perfect guide to learn about the Machine learning. I get this book to upgrade my self so I found that this is a big value addition in my career thanks.
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Overall5 out of 5 stars
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- aniruth
- 22-11-17
machine learning
As a beginner I felt the pace of the book was very manageable and each concept is well explained with clear points, often backed up with visual illustrations. You get a good context on what is ML, the algorithms that power ML, and guidance on further learning careers. This book is not a substitute for a textbook but would be a nice complementary resource for anyone starting out in this subject. I feel that business folks or journalists who don’t have a lot of time to sit down and learn this advanced field and who need a rapid snapshot of ML would do well to this book. As a title geared to ‘absolute beginners’, I would not recommend to more advanced stage learners to this book. For me though it hit the spot. Would look forward to a second title in this series if there is one.
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Overall4 out of 5 stars
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- lakshmibai
- 22-11-17
helped me
This is a good and quick listen into the popular algos in Data Science. As the title suggests, it is a good intro and offers several resources to dive into the world of Data Science
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1 person found this helpful
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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- Eula Schultz
- 22-11-17
useful book
The book is short but I think that's it's strong suit. I suspect it's usefulness will wear off as this information becomes more foundational knowledge through my research into ML but as a beginner in the field, I find that having an easy to navigate reference book for the algorithms I need to learn to become an ML expert is very useful
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Overall5 out of 5 stars
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- Bruin.a
- 20-11-17
Interesting book....
This is a very interesting and useful book. In it you can learn about automatic science for beginners. I advise this book, it has a lot of different and travel information.
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