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Machine Learning: A Technical Approach to Machine Learning for Beginners
- Narrated by: John Hawkes
- Length: 2 hrs and 56 mins
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Publisher's Summary
Machine Learning: A Technical Approach To Machine Learning For Beginners - 2 books in one
This book contains:
- Machine Learning: A Technical Approach to Machine Learning for Beginners
- Machine Learning: A Guide for Beginners
What exactly is machine learning and why is it so valuable in the online business world? Simply put, it is a method of data analysis that uses algorithms that learn from data and produce specific results without being specifically programmed to do so. These algorithms can analyze data, calculate how frequently certain parts of it are used, and generate responses based on these calculations in order to automatically interact with users.
Here is a preview of what you’ll learn:
- What machine learning is
- How does machine learning work
- Why it is so important
- Machine learning and artificial intelligence
- Some of the branches of artificial
- Intelligence - deep neural networks
- Decision trees in relation to Machine Learning
- Logistic regression
- What Python is and how to get started with it
What listeners say about Machine Learning: A Technical Approach to Machine Learning for Beginners
Average Customer RatingsReviews - Please select the tabs below to change the source of reviews.
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- Sean McAdam
- 05-07-18
mechanically read in an echo chamber.
the content is not great, but the read is horrible. you are probably better off reading the book.
2 people found this helpful
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- Ali
- 05-22-18
How amazing this book is!
This book give us deep insights about machine learning some times too deep but all the time with concrete examples of the daily life. In the end you understand the 5 master algorithms and how they, one time, will work together towards the Master Algorithm. Finally give us the notion of not being scared about the future but be prepared to be part of this voyage. Is a incredible, inspirational and guide book for the future of mankind.
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- Hector
- 05-21-18
Recommended
This machine learning textbook has changed my life and the trajectory of my career. Thank you so much for writing such an awesome book. I currently have two copies and have been getting everyone I know to buy one. I'm a graduate student in the field of Bioinformatics and for any graduate student who uses statistics for any sort of analysis(which should be just about everyone), this is an absolute must have.
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- WilliamCDendy
- 05-21-18
Lovely stuff
Some used Statistics and Linear Algebra books will be helpful in understanding this very good book. Actually teaches enough fundamentals to be useful which is difficult to find in this field. I have found there is no good place to start in machine learning. Just jump in.
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- MarvinMEaton
- 05-21-18
Great intro for non-programmers.
If you're liking for a baseline on the ML subject, Theobald delivers several examples without the overwhelming math. If your in the AI field, this is common ground.
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- KennethTBohanan
- 05-21-18
Must Read For All
This is an excellently written book about a relatively new concept utilizing Artificial Intelligence to program machines for the purpose of doing something that would be in the realm of a human activity, actually introducing the concept of learning done on the part of a machine, how it is done, it's capabilities, limitations, challenges to mankind, machine learning 3 people found this helpful
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- Brandon D. Walker
- 05-12-18
Definitive
The definitive text on Machine Learning. Fully met my expectations for information about machine learning.
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- Aidan Carter
- 05-10-18
Suggested
Artificial Intelligence, machine learning and other new-era technology concepts are hard to grasp at first. This book opens my mind to all possibilities behind machine learning. Of course, since this works like an introduction, I will have to read an in-depth explanation on the structures and coding used. This has wide use in marketing and even manufacturing and transportation.
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- Randal
- 05-09-18
Recommended
Simple. Straightforward. High level explanations of deep subjects. Just enough math to have it make sense, but simplified enough that any layperson could understand without much struggle.
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- Joseph A. Herrera
- 05-09-18
Learning approach
It a good overview book, however it would be good if difficult topics would be described without using domain specific terms, which assumes you already have ML knowledge. If the terms are used, they should be defined upfront. If various specific methods are mentioned, it would be good to provide a comparison and overview of those. I general it is good book, which I would recommend reading as a starting point for its structured approach.