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Video
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Summary
- Intro
- Went to Paris to see French architecture, and I got an Eiffel
- Traffic rant
- Office and physical activity…how can I hit my step goals without the treadmill desk
- Apple and Multi Stream Transport
- NLP tools
- Ranted on admin costs at UMass Amherst
- Coding
- Tried the joblib dump/load and it works
- Actually, ran into a problem where one function wasn’t pickled correctly
- Likely need to refactor to put in separate script
- Scikit learn and ETE may not work well together. ETE asks for data in Newick tree format, but not clear if sklearn supports
- Definitely not for an overall RFC
- There is scikit-bio which has a way to depict results in Newick trees
- Trying tSNE via TruncatedSVD
- Tried the joblib dump/load and it works
- Detour
- We were raided by raw0nline!
- We raided EroAxee
Shoutouts
Streamers who were active in chat
- Valkeryias (need to ask about interview class)
- R4D4R_Live
- Yuka_with_Data
- bedtimebear_808
To Do
Code
- [ ] How to change wordpress endpoint, specifically /admin
- [ ] Add custom function to look at the term frequency distributions
- [ ] This is even what the scikit-learn docs do…they should just build it in to the algorithms…
- [ ] What is a good minimium document frequency for a term and what is a cutoff? 1/number of topics?
- [ ] Look at the example on sklearn for NMF and topic extraction
- [ ] Make hand cam a separate scene?
- [ ] Add new scene for 3rd monitor
- [ ] add ingredient information to search result box
- [ ] Make the background tile
- [ ] Make the visualization for the cuisine map (as in use something like tSNE to see where the recipes overlap in an unsupervised fashion)
- [ ] Make subgoal buying a wet fart soundboard (thanks chat)
- [ ] Refactor the nlp preprocessing functions into their own script to import
- [ ] take another at streamlit
- [ ] CornoZeewo scuffed model
- [ ] Look up math theory behind t-SNE
- [ ] optuna
- [X] Change ad schedule, it’s too many ads at once
Photo
- [ ] Try to see if the preview pane in Bridge can get shifted left a little