Ebook Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence
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Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence
Ebook Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence
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Product details
Paperback: 152 pages
Publisher: CreateSpace Independent Publishing Platform (July 12, 2018)
Language: English
ISBN-10: 172282381X
ISBN-13: 978-1722823818
Product Dimensions:
8.5 x 0.4 x 11 inches
Shipping Weight: 13.4 ounces (View shipping rates and policies)
Average Customer Review:
4.3 out of 5 stars
5 customer reviews
Amazon Best Sellers Rank:
#22,347 in Books (See Top 100 in Books)
First of all, I bought it for clustering purposes. There is nothing related to it. I returned to the book immediately. It seemed like supervised learning only.Secondly, I wouldn't call it a book. It looks and printed like a BORINGLY formatted master thesis. Although it is listed as a book, I would like to call it SURVEY PAPER
The book focuses solely on the machine learning algorithms. The background in math is needed but the best part is that the equations are explained by actual simple examples using numbers and solving the equations using those numbers. Brings the intuition of how simple additions and multiplications to explain complex underlying algorithm.
Great start for the one who wants to understand maths behind predictive analytics
Great book for data science.
It has math stuffs for ML beginners with 1 or 2 example, which I liked the most. Price is bit higher for this book though. Overall book is great
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