Data Jujitsu has ratings and 19 reviews. Daniel said: This is one of those books where you get much more than you paid for. Not only because the book. Learn how to use a problem’s “weight” against itself to: Break down seemingly complex – Selection from Data Jujitsu: The Art of Turning Data into Product. The art of using multiple data elements in clever ways to solve iterative problems that, when combined, solve a data problem that might otherwise be intractable.
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How to write a great review Do Say what you liked best and least Describe the author’s style Explain the rating you gave Don’t Use rude and profane language Include any personal information Mention spoilers or the book’s price Recap the plot.
There is also a free report on Data Jujitsu you can download. Quotes from Data Jujitsu: If you are looking for an detailed and technical how-to book, then you will be severely disappointed. Other editions – View all Data Jujitsu: There’s a method to solving data problems that avoids the big, heavyweight solution, and instead, concentrates building something quickly and iterating. The Art of Turning Data into Product 3.
A very short collection of things to remember while building a data product with some good examples of the products we know LinkedIn, Facebook etc. Data jujitsu the art of turning data into product 31, Mms Mamdouh Al Shamy rated it liked it. You can read this item using any of the following Kobo apps and devices: Graciously Welcoming Lady Luck Becoming.
This book is not yet featured on Listopia. Some of my favourite snippets are: Break down seemingly complex data problems into simplified parts Use alternative data analysis techniques to examine them Use human input, such as Mechanical Turk, and design tricks that enlist the help of your users to take short cuts around tough problems Learn more about the problems before starting on the unto use the findings to solve them, or determine whether the problems are worth solving at all.
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This is more an essay rather than a book. Patil illustrates his ideas and concepts with several useful examples, mostly from his work at LinkedIn. How to Build a Million Dollar App. The Mastery Of Tge. I think that people who will most appreciate this e-book article are either those who have very little to no experience with data science, or potentially the high-level experts and veterans of I found this to be a very interesting and insightful data jujitsu the art of turning data into product on data science as it is practiced in the real world.
Data Jujitsu: The Art of Turning Data into Product eBook by DJ Patil – | Rakuten Kobo
Are the people who solve them superhuman data scientists who can come up with better ideas in five minutes than most people can in a lifetime? Dying for a Living Boxset: How to write a great review.
Engage the user to help you, rather than relying on analysis. Norman rated it it was amazing Sep 17, He is known for co-coining the term Data Scientist. Using Microsoft Word for Academic Papers.
You can read it online at http: You’ve successfully reported this review. Break down seemingly complex data problems into simplified parts Use alternative data analysis techniques to examine them Use human input, such as Mechanical Turk, and design tricks that enlist the help of your users to take sho Acclaimed data scientist DJ Patil details a new approach to solving problems in Data Jujitsu.
Data Jujitsu: The Art of Turning Data into Product
Interesting ideas on how to approach data projects. Patil illustrates his ideas and concepts with several useful examples, mostly from his work at LinkedIn. To ask other readers questions about Data Jujitsuplease sign up. Open Preview See a Problem? Ballarat Charter volume 1. Selected pages Title Page. The book’s key strength for them will probably be how natural and smooth they become when applied to data products.
The Art of Turning Data into Product. No, cancel Yes, report it Thanks! Compact Camera User Guide. Thanks to large investments in the general area of data science, many major innovations e. Ratings and Reviews 0 0 star ratings 0 reviews. You can remove the unavailable item s now or dats automatically remove it at Checkout. If you are looking for an detailed and technical how-to book, then you will be severely disappointed.
I liked it for its clear-cut explanation.
Good insights into building a minimal viable product around data problems primarily using examples from author’s personal experiences at LinkedIn, and some other contemporary examples. It turns annoyance into empowerment. An excellent data jujitsu the art of turning data into product for any data scientist or someone thinking of becoming data entrepreneur.
For the first group this e-book could serve as a gentle introduction to the field in the most general way, while the latter could appreciate the big picture take by one of their very experienced colleagues. Some of the ideas in the book are already well known to most software designers and entrepreneurs good data structures are crucial, try to design a minimally functioning prototype and then iterate, etc.