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Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
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About the Author
Matthew Russell (@ptwobrussell) is Chief Technology Officer at Built Technologies, where he leads a team of leaders on a mission to improve the way the world is built. Outside of work, he contemplates ultimate reality, practices rugged individualism, and trains for the possibilities of a zombie or robot apocalypse.Mikhail Klassen is Chief Data Scientist at Paladin AI, a startup creating adaptive training technologies. He has a PhD in computational astrophysics from McMaster University and a BS in applied physics from Columbia University. Mikhail is passionate about artificial intelligence and how the tools of data science can be used for good. When not working at a startup, he's usually reading or traveling.
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Product details
Paperback: 432 pages
Publisher: O'Reilly Media; 3 edition (January 14, 2019)
Language: English
ISBN-10: 1491985046
ISBN-13: 978-1491985045
Product Dimensions:
7 x 1 x 9 inches
Shipping Weight: 1.5 pounds (View shipping rates and policies)
Average Customer Review:
5.0 out of 5 stars
1 customer review
Amazon Best Sellers Rank:
#159,298 in Books (See Top 100 in Books)
So, this is the 3rd edition of this book. The updates are great and timely as it includes Instagram in this edition. It's a good introduction to how to start data mining from social web. The language is easy to understand and follow. The authors make all their code available on GitHub, and it's relatively easy to use. Code has been updated to Python 3.Purchasers should know that there is also an option to purchase directly from the publisher that includes updates to the text of book (and if use their DropBox or Google drive sync, they update automatically). That is not currently the case with a Kindle version.Overall, if you are interested in getting started with data mining social media, this is a great tutorial.
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