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Michael Li's Page
Profile Information
- Short Bio:
- Michael has worked as a data scientist (Foursquare), quant (D.E. Shaw, J.P. Morgan), and a rocket scientist (NASA). He did his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall scholar. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science. He decided to build a startup that lets him focus on what he really loves. The Data Incubator is a full-stack Data Science education company. Delivering the most up to date Data Science curriculum available, we offer introductory online Data Science courses, corporate training, our free Data Science Fellowship for PhDs, and a curated talent pool of highly qualified, vetted, and trained Data Scientists.
- Company:
- The Data Incubator
- Job Title:
- Founder/CEO
- Seniority:
- C-Level
- Industry:
- Education/Training/Placement
- LinkedIn Profile:
- http://www.thedataincubator.com
- Interests:
- Networking, New venture, Other
Michael Li's Blog
Python Multi-Threading vs Multi-Processing
Posted on November 29, 2018 at 6:30am 1 Comment 0 Likes
There is a library called threading in Python and it uses threads (rather than just processes) to implement parallelism. This may be surprising news if you know about the Python's Global Interpreter Lock, or GIL, but it actually works well for certain instances without violating the GIL. And this is all done without any overhead -- simply define…
A Study of Reddit Politics
Posted on June 20, 2018 at 10:30am 0 Comments 0 Likes
This article was written for The Data Incubator by Jay Kaiser, a Fellow of our 2018 Winter cohort in Washington, DC.
The Question
The 2016 Presidential Election was, in a single word, weird. So much happened…
Ranking Popular Deep Learning Libraries for Data Science
Posted on October 17, 2017 at 12:00pm 0 Comments 3 Likes
Michael Li is founder and CEO at The Data Incubator. The company offers curriculum based on feedback from corporate and government partners about the technologies they are using and learning, for masters and PhDs.
The Rankings
Below is a ranking of 23 open-source deep learning libraries that are useful for Data Science, based on Github and Stack Overflow activity, as well as Google search results. The…
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