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Data Science (MIT Press Essential Knowledge series), by John D. Kelleher Brendan Tierney
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About the Author
John D. Kelleher is Academic Leader of the Information, Communication, and Entertainment Research Institute at the Technological University Dublin. He is the coauthor of Data Science (also in the MIT Press Essential Knowledge series) and Fundamentals of Machine Learning for Predictive Data Analytics (MIT Press).
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Product details
Series: MIT Press Essential Knowledge series
Paperback: 280 pages
Publisher: The MIT Press (April 13, 2018)
Language: English
ISBN-10: 0262535432
ISBN-13: 978-0262535434
Product Dimensions:
5 x 0.6 x 7 inches
Shipping Weight: 7.2 ounces (View shipping rates and policies)
Average Customer Review:
4.3 out of 5 stars
11 customer reviews
Amazon Best Sellers Rank:
#37,515 in Books (See Top 100 in Books)
This book provided an overview of the fundamental ideas and concepts about data science. It is an excellent intellectual tour to the data science. The only problem I have is that without full understanding of a statistical concept of the differential privacy, it is difficult to understand its application to any algorithm.
Good overview for the moderately-informed. On to deeper texts!
It is just fundamental knowledge.
This book has everything: it is complete, it is well structured, it is very easy to read ... and it is concise.
Best overview of the topic that I have read.
Simple and in depth
Good DS overview for beginners
The book is a beginner review of the main tasks of data scientists.
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