Year: 2015

Free Data Science Books

I came across a collection of free data science books:

Pulled from the web, here is a great collection of eBooks (most of which have a physical version that you can purchase on Amazon) written on the topics of Data Science, Business Analytics, Data Mining, Big Data, Machine Learning, Algorithms, Data Science Tools, and Programming Languages for Data Science.

Most notably, there are introductory books, handbooks, Hadoop guide, SQL books, social media data mining stuff, and d3 tips and tricks.  There’s also plenty on artificial intelligence and machine learning, but that’s too far out for me.

Fixing Twitter

Fixing Twitter – here’s a reasonable rant on what’s wrong with Twitter and how to fix it.  Product managers and marketing people should definitely read.

Second–and this one is obvious to almost everyone–Twitter needs to focus on realtime events. When I open Twitter during a major debate in the US, or when a bomb has exploded in Bangkok, there should be a huge fиcking banner at the top that says “follow this breaking event.” It shouldn’t just search for a hashtag–it should use intelligent algorithms to show me all of the relevant content about that event. It should be the place you go to learn about what is happening in the world right now. When something major happens in the world/your country/your city, you should be trained to immediately and automatically think, “open Twitter to get updates.” This is so obvious to me that I wonder what Twitter’s product team has been doing—are they over-designing a solution to this? It’s so simple. 90% of the UI and 80% of the search functionality is already in the app.