(Day 132) MLx Fundamentals Day 4(1) + CS109 - Fairness in AI
May 12, 2024
Hello :) Today is Day 132!
A quick summary of today:
- last night was the final day 4 of MLxFundamentals
- covered lecture 26: fairness from Stanford’s CS109
(Day 131) Meeting for the Scottish dataset project + CS109 - Deep learning
May 11, 2024
Hello :) Today is Day 131!
A quick summary of today:
- Met the enthusiast wanting to join for the Scottish AI dataset (over zoom)
- Covered lecture 25: deep learning from Stanford’s CS109
- Day 3 of MLx Fundamentals
(Day 130) CS109 - MAP, Naive Bayes, Logistic Regression
May 10, 2024
Hello :) Today is Day 130!
A quick summary of today:
- covered Lecture 22: MAP, Lecture 23: Naive Bayes, Lecture 24: Logistic Regression from Stanford’s CS109
(Day 129) AI with a Scottish accent? + MLE lecture by Chris Piech (Stanford CS109)
May 9, 2024
Hello :) Today is Day 129!
A quick summary of today:
- I thought to myself: is there an AI that can speak with Scottish accent and does not sound robotic
- covered Lecture 21 from Stanford’s CS109 on Maximum Likelihood Estimation
(Day 128) IBM Consulting Insights Virtual Careers event + More of CS109
May 8, 2024
Hello :) Today is Day 128!
A quick summary of today:
- attended IBM Consulting Insights: Virtual Careers event
- watched a few more lectures of Stanford’s CS109 Probability for computer scientists
(Day 127) Serving an API endpoint for news classification + Stanford's CS109
May 7, 2024
Hello :) Today is Day 127!
A quick summary of today:
- learned a bit more about Docker’s potential and deployed a model to classify news text into categories (github)
- started watching Stanford’s CS109 Probability for computer scientists and the professor is so amazing
- saw a visualization of how activations change over epochs