charlysl

59 ms·

241.
Principles and Techniques of Data Science(textbook.ds100.org)
347 points by charlysl 7y ago|20 comments
242.
The Art and Science of Negotiation(ocw.mit.edu)
3 points by charlysl 7y ago|0 comments
243.
Network Cultures(docs.google.com)
3 points by charlysl 7y ago|0 comments
244.
MIT Algorithm Engineering(people.csail.mit.edu)
4 points by charlysl 7y ago|0 comments
245.
Analyzing the Impact of GDPR on Storage Systems [pdf](arxiv.org)
2 points by charlysl 7y ago|0 comments
246.
by charlysl 7y ago
I really like this talk of his, he was an amazing speaker: "Computing: The first 100 years" https://youtu.be/itKFrXghGuA
247.
by charlysl 8y ago
Well, maybe I misinterpreted what the author meant. In fact, I was a bit casual myself: statistical bias, which is what I meant, would have been more accurate than what I wrote, machine learning bias (which might be interpreted as the bias
248.
by charlysl 8y ago
Or maybe I am wrong and the author is right. After all, he claims that the problem is not AI but the humans, and maybe we shouldn't blame systems trained on human data, which reflects all human's prejudices. Then again, if AI&#x27
249.
by charlysl 8y ago
Maybe it's just me, but it seems to me that the author doesn't have a clue of what he is writing about. For instance, when he mentions the Amazon hiring AI embarrassment, it seem to me like he mixes the very different concepts of
250.
by charlysl 8y ago
In the first lecture of CMU's Practical Data Science course, the lecturer explains very well the differences between data science, machine learning, statistics and big data ("as far as this course is concerned"), between abou
251.
by charlysl 8y ago
There is a companion talk by the paper's author in Youtube: https://youtu.be/E7w-gfFKPf8
252.
Modern Numerical Computing(courses.csail.mit.edu)
3 points by charlysl 8y ago|0 comments
253.
50 Years of Data Science (2015) [pdf](courses.csail.mit.edu)
108 points by charlysl 8y ago|7 comments
254.
Distributed Embedded Systems (2015)(course.ece.cmu.edu)
2 points by charlysl 8y ago|0 comments
255.
Advanced Cloud Computing (2017)(cs.cmu.edu)
2 points by charlysl 8y ago|0 comments
256.
Embedded System Software Engineering(archive.ece.cmu.edu)
3 points by charlysl 8y ago|0 comments
257.
CMU Practical Data Science (2018)(datasciencecourse.org)
4 points by charlysl 8y ago|0 comments
258.
Cloud Computing for Science and Engineering Online Book (2017)(cloud4scieng.org)
2 points by charlysl 8y ago|0 comments
259.
Large-Scale Systems Course (2015)(cs.stanford.edu)
2 points by charlysl 8y ago|0 comments
260.
The Problem with Big Data(sloanreview.mit.edu)
1 points by charlysl 8y ago|0 comments
261.
Big-Data Management Course(cs.ucr.edu)
1 points by charlysl 8y ago|0 comments
262.
Top Innovators over 70(technologyreview.com)
3 points by charlysl 8y ago|0 comments
263.
Stanford Reinforcement Learning(youtube.com)
1 points by charlysl 8y ago|0 comments
264.
by charlysl 8y ago
Well, for what it's worth, I've just had a very quick look at SimpleDB, and it does have a buffer manager after all (in simpledb.buffer). I am glad about this, it is looking more and more interesting to me, and I am more and more
265.
by charlysl 8y ago
Fair enough, thank you for pointing this out, I agree that the Sciore book might be a better learning approach to the lab side of things. How different is this book from his class notes, titled "Database Management: A Systems Approach
266.
by charlysl 8y ago
But those are just the lectures. The course also includes several substantial labs that consist of extending sqlite ([1], under Projects; starting code in [2]). This course gives you both. I don't think you have a chance of doing these
267.
by charlysl 8y ago
Pavlo's CMU intro db course's labs are actually based on sqlite: https://youtu.be/vyVGm_2iFwU https://15445.courses.cs.cmu.edu/fall2018/ https://github.com/Nov11/15-445
268.
by charlysl 8y ago
But can you really build a db system without knowing some theory first (at the very least, key concepts and implementations), and learning from past mistakes and hits, and learning db history and know where and why things might be going?
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by charlysl 8y ago
You may find MIT's Database Systems course helpful, the labs consist of building several db components in Java (and the prof is Stonebraker, of Postgres fame): https://ocw.mit.edu/courses/electrical-engineering-and
270.
Signal Processing on Databases(ocw.mit.edu)
2 points by charlysl 8y ago|0 comments

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