Download PDF , by John D. Kelleher Brendan Tierney

Download PDF , by John D. Kelleher Brendan Tierney

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, by John D. Kelleher Brendan Tierney

Download PDF , by John D. Kelleher Brendan Tierney

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Product details

File Size: 1208 KB

Print Length: 282 pages

Publisher: The MIT Press (April 6, 2018)

Publication Date: April 6, 2018

Sold by: Amazon Digital Services LLC

Language: English

ASIN: B07C4HKQ9N

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Amazon Best Sellers Rank:

#35,050 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

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.

Well-written and easy-to-understand, this book gives a new-comer like me a conceptual framework to think about problems in data science. It helps me to understand what the field really is and what the workflow of a data science project looks like. Particularly interesting is the chapter on data ethics and regulation. I think it is an area that is often overlooked by technical textbook, but should really be emphasized to readers who might someday become a data practitioner. Overall, it’s a very good book and worths your effort to delve into.

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

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