It's been ~15 months since I switched fields (into DB) and started a PhD, so I did a bit of freewriting. I reflect on ML engineering and some uncomfortable learnings: https://t.co/scEzczpMNF
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Mixed Integer Programming is an NP-hard optimisation problem arising in planning, logistics, resource allocation, etc.
Presenting a solver with neural heuristics that learns to adapt to the problem domain, outperforming SCIP on Google-scale MIPs: https://t.co/fGIuqbIlsl (1/)
Solution from my teammate. He has the best single model. He achieved this using only @GoogleColab , @kaggle TPU and using special loss function. https://t.co/TRtnx6Kj6F
Today I learned you can use the `-m` flag for `git commit` several times to add separated paragraphs to the commit message.
🔗 git docs: https://t.co/5LbvFAbQ7C
Video alt: Usage of `git commit` with three `-m` flags.
Another useful bookmark I just discovered today: https://t.co/yFTimm7NJ7
First and formost finally I can get rid of all my tons of "untitled.ipynb". Who knew colab had a scratch notebook? Or that we can run flask apps in colab?!
sktime - @scikit_learn like library for time series #machinelearning. Supports forecasting, time series classification, and time series regression.
https://t.co/b0hNsIIvoL
0/ Essential philosophy for #DataScience, a thread of 32 questions.
Grab a friend (virtually) and tackle these 32 essential questions (all with more than one reasonable answer) that every serious #data professional should answer for themselves.
#philosophy#rstats#statistics
AI Curriculum
⚪MIT 6.S191: Introduction to Deep Learning
⚪CS231n: CNNs for Visual Recognition, Stanford | Spring 2019
⚪CS224n: NLP with Deep Learning, Stanford | Winter 2019
⚪CS285: Deep Reinforcement Learning, UC Berkeley | Fall 2019
https://t.co/2OEpd9pA0o
This is awesome! @GokuMohandas is working on practicalAI https://t.co/r12b1eWOsY – a free tool to discover and organize community-curated ML content! Check it out and please share your feedback!
I made a notebook with examples of cool Python features that either took me a long time to find out or were too intimidating for me to use.
I especially focus on the features I find useful for machine learning.
https://t.co/7LBmu4UuwS