charlysl

21 ms·

211.
How Kubernetes Could Orchestrate Machine Learning Pipelines(thenewstack.io)
1 points by charlysl 7y ago|0 comments
212.
Engineering Apollo: The Moon Project as a Complex System(ocw.mit.edu)
2 points by charlysl 7y ago|0 comments
213.
New AI programming language goes beyond deep learning(news.mit.edu)
4 points by charlysl 7y ago|0 comments
214.
Drag-and-Drop Data Analytics(news.mit.edu)
3 points by charlysl 7y ago|0 comments
215.
Innovation Systems for Science, Technology, Energy, Manufacturing, and Health(ocw.mit.edu)
2 points by charlysl 7y ago|0 comments
216.
Cryptocurrency Engineering and Design(ocw.mit.edu)
3 points by charlysl 7y ago|0 comments
217.
by charlysl 7y ago
I mean a computer terminal, in the sense of a device from which you can control multiple computations and get real time feedback, with the ilusion that it's all happening on a dedicated computer in spite of the fact that others might b
218.
by charlysl 7y ago
This man deserves it more than most of those who got one (I don't mean to take anything away from them, they did deserve one, just that Corbato's contributions to computing are enormous and more deserving than most; for instance,
219.
by charlysl 7y ago
Exactly, this is why I shared this video. Hearing concepts explained by those who pioneered them really brings them home, because it highlights the context in which they were created, with a description of what was the trouble with computin
220.
by charlysl 7y ago
Interesting interview in this documentary, "1963 Timesharing: A Solution to Computer Bottlenecks": https://www.youtube.com/watch?v=Q07PhW5sCEk
221.
Introduction to Numerical Methods (OCW, with notebooks in Julia)(ocw.mit.edu)
2 points by charlysl 7y ago|0 comments
222.
A Turbulent Year: The 2019 Data and AI Landscape(mattturck.com)
2 points by charlysl 7y ago|0 comments
223.
The Mindfulness Conspiracy(theguardian.com)
4 points by charlysl 7y ago|1 comments
224.
Training a single AI model can emit as much carbon as 5 cars in their lifetimes(technologyreview.com)
2 points by charlysl 7y ago|2 comments
225.
Perspective API: what if technology could help improve conversations online?(perspectiveapi.com)
2 points by charlysl 7y ago|0 comments
226.
by charlysl 7y ago
Labs, although mentioned in the syllabus, are not in the OCW materials. This is the best I could find (4 labs in Julia, Julia notebooks, and Matlab): https://github.com/dkout/18.065
227.
Consumer Finance: Markets, Product Design, and FinTech(ocw.mit.edu)
1 points by charlysl 7y ago|0 comments
228.
by charlysl 7y ago
Common sense trumps psychological fads any time.
229.
by charlysl 7y ago
I recommend reading the wonderful book "Fermat's Last Theorem" to understand the historical context of his contributions to math.
230.
Probability for Data Science(prob140.org)
1 points by charlysl 7y ago|0 comments
231.
Open Data Science(ods.ai)
2 points by charlysl 7y ago|0 comments
232.
by charlysl 7y ago
Yes, that edx course is a prerequisite for this one, and is based on Data 8.
233.
by charlysl 7y ago
No, I searched and searched, but to no avail.
234.
A Beginner’s Guide to Data Engineering(medium.com)
4 points by charlysl 7y ago|0 comments
235.
The Data Analytics Handbook(teamleada.com)
4 points by charlysl 7y ago|0 comments
236.
Computational and Inferential Thinking(inferentialthinking.com)
4 points by charlysl 7y ago|0 comments
237.
by charlysl 7y ago
You're welcome! I haven't done the course yet, I've just found it. But, from the rationale video, the course seems to be more about weaving recurrent fundamental data science concepts throughout, emphasizing one particular co
238.
by charlysl 7y ago
Homeworks, labs, projects: https://github.com/DS-100/sp19 Course design: https://youtu.be/HITIm3KoU2U Course website: http://www.ds100.org/sp19/
239.
User Interface Design and Development(bcourses.berkeley.edu)
5 points by charlysl 7y ago|0 comments
240.
Data 8: Foundations of Data Science(data8.org)
3 points by charlysl 7y ago|0 comments

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