flanger's comments

The founders of Exo ghosted the dev community and went closed-source. Nobody has heard from them. I wish people would stop recommending Exo (a tribute to their marketing) and check out GPUStack instead. Overall another rug pull by the devs as soon as they got traction.

How does the $4.5M fine compare to revenue generated by the scam?

Unless there is jail time, these fines are just a slap on the wrist, and are often factored into budgets as “costs of doing business”.

Amazing book! Also Diaspora! Great mind expanding hard science fiction. Highly recommended!

Galvanize, Inc. (http://www.galvanize.com) San Francisco, CA | Denver, CO | Seattle, WA

We are looking for a data scientists and software engineers with teaching experience to join our instructional team.

Practical, industry-based education is hard to access in the exciting and growing field of data science and software engineering. Galvanize has a tight-knit team of established professionals, educators, and community builders that are creating pathways into industry’s most demanding data science and engineering teams.

We are growing our instructional staff across all of our campuses. Our instructors train technical professionals with programming experience to solve real-world problems utilizing innovative educational techniques. We’re looking for passionate educators and practical problem solvers with demonstrated flexibility and curiosity.

Join us in building the world's hub for education in data science and software engineering.

Interested in working at Galvanize? Apply here: https://jobs.lever.co/galvanize

Galvanize, Inc. (http://www.galvanize.com) San Francisco, CA | Denver, CO | Seattle, WA

We are looking for a data scientists and software engineers with teaching experience to join our instructional team.

Practical, industry-based education is hard to access in the exciting and growing field of data science and software engineering. Galvanize has a tight-knit team of established professionals, educators, and community builders that are creating pathways into industry’s most demanding data science and engineering teams.

We are growing our instructional staff across all of our campuses. Our instructors train technical professionals with programming experience to solve real-world problems utilizing innovative educational techniques. We’re looking for passionate educators and practical problem solvers with demonstrated flexibility and curiosity.

Join us in building the world's hub for education in data science and software engineering.

Interested in teaching at Galvanize? Apply here: https://jobs.lever.co/galvanize

Thanks for the mention, Sonali! One of the founders of Zipfian Academy here, happy to answer any questions you might have about the program.

For those that are looking for a SF-based data science course that focuses specifically on industry workflows, check out: http://www.zipfianacademy.com/

For those looking to make the transition to data science, another option is Zipfian Academy (http://www.zipfianacademy.com/). No PhD required.

There is a comprehensive list of online resources that we put together on our blog: http://blog.zipfianacademy.com/post/46864003608/a-practical-...

We apologize that it was not more clear on the site, but we do partner with many companies throughout the program who give guest lectures and provide perspectives from the industry. There is also a hiring day where we match candidates with prospective employers to provide assistance with job placement and prepare our students extensively for interviews.

While we have shown there are many online resources available for understanding data science, we’ve found that structured, in-person programs provide the best environment for a collaborative learning experience.

Scholarships are also offered for particularly promising applicants and for students in need of financial aid. Please reach out to us directly if you would like to know more about our financial assistance options: [email protected]

Ryan, co-founder of Zipfian Academy here. Completely agree -- data scientists can spend up to 90% of their time cleaning and getting their data in the proper format for analysis. This, plus the emergence of Hive and Pig as dominant higher-level abstractions on top of Hadoop, have made robust SQL skills more important than ever. We have an upcoming blog post specially focusing on learning SQL and the differences between SQL/HiveQL.

Platfora is doing some interesting work with interactive, in-memory BI for Hadoop. They essentially do away with the traditional DW/ETL model and create ephemeral in-memory 'lenses' for querying and visualization.

I second this -- the Unix System Administration series (http://www.ocf.berkeley.edu/decal/2008-spring/advanced/) and the DeCal classes in general were some of the most rewarding classes I took at Cal.

Too bad the GPS is still worthless.