In this series we look at the incredible, over-sized oil paintings of fruit by Ohio artist, Dennis Wojtkiewicz [voy-KEV-itch]. While the realism is impressive, it’s Wojtkiewicz’s use of light and translucence that allows each painting to take on a…
The Bad Data Handbook is finally out! It’s the first time I’ve contributed to a publication and I’m incredibly excited about it.
The top required skills of a data scientist are generally considered to be: mathematical know-how, programming capabilities, and some sort of domain knowledge enabling them to ask (and then answer) relevant questions.
This book is about all of the other garbage that you have to put up with along the way. Each chapter is written by someone who has spent more time than they probably would have liked dealing with a specific issue, and they provide some tips and pitfalls. I haven’t read the other chapters yet, but some of the included topics are:
- Test drive your data to see if it’s ready for analysis
- Work spreadsheet data into a usable form
- Handle encoding problems that lurk in text data
- Develop a successful web-scraping effort (that’s me)
- Use NLP tools to reveal the real sentiment of online reviews
- Address cloud computing issues that can impact your analysis effort
- Avoid policies that create data analysis roadblocks
- Take a systematic approach to data quality analysis
I hope at least a few of you buy it and enjoy it.
The show is comprised of a large collections of images comprised from strips of negatives which end up looking like contact prints. Approaching at these (or any) contact prints simply to learn how to make “memorable shots” or “demystify” the photographer would be missing the point- Moriyama’s work has never been about getting that one keeper- they’re all kept and in great numbers the effect is wonderfully overwhelming. Moriyama’s photographs draw strength in numbers- these huge prints suck you in and won’t let go. The gorgeously printed photobook which accompanies the show has the same effect.
Not a one to miss if you are in Tokyo between now and November 11th.
Sept. 28 to Nov. 11th, 2012
OPEN 11:00 - 19:00
To grow rapidly, you need to make something you can sell to a big market. That’s the difference between Google and a barbershop. A barbershop doesn’t scale.
Such a masterful post on just what it means to be a startup and why the ecosystem works so well.