Yhat (pronounced y-hat) is a data science technology company that provides tools and systems that allow enterprises to turn data insights into data-driven products. The blog is maintained by their team.
Go to Content: ŷhat blog
I love y-hat. They post a concrete use-cases and examples of data science being applied in the real world. Their new Python IDE, Rodeo, is a joy to use and they’ve been incredibly helpful in troubleshooting problems quickly and responding to feedback. I am a regular subscriber to their blog and cannot recall a post of theirs I didn’t find interesting, informative, or even entertaining. There is a certain assumption of a baseline familiarity level with the basics of data science and machine learning, but beyond that there is very little theory and a big focus on pragmatics: how do we implement algorithm x on this interesting real-world dataset y in the open source tool z? Great for beginners and experts.
Overall Rating - How good was this content?
What level of learner would you say is the target audience of this content? Advanced Beginner - familiar with data science / new to this topic / some prerequisites
What would you say was your personal experience level with this content's topics before you started consuming this content? Advanced Intermediate - had prior experience applying this topic
How much did/do you personally learn/gain from this content? (5) More than I even wanted to!
What was your primary reason for starting this content? Wanted to learn just for fun / Looked interesting
How often have you consumed content from this publisher/series? This was my first experience with this publisher/series
Did you like the author(s)/instructor(s)? Yes
What technology is required in order to use this content? (i.e. good internet connection, large hard drive, python IDE, etc.) Mostly Python, some Spark
I would recommend this content for: [type of learner] Beginners and open source developers
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