(Day 90) Probability - Univariate Models and colab 0 from XCS224W - ML with Graphs

March 31, 2024

Hello :) Today is Day 90!

A quick summary of today:

covered the first chapter of the Foundations part of Probabilistic Machine Learning: An Introduction
set up my environment and covered the basics from the 0th colab for Stanford’s XCS224W: ML with Graphs

(Day 89) More basics from ISLP

March 30, 2024

Hello :) Today is Day 89!

A quick summary of today:

covered Classification, Resampling methods, Tree-based models and Some considerations in high dimensions from An Introduction to Statistical Learning

(Day 88) Starting the book 'An Introduction to Statistical Learning' - Chapter 2 and 3

March 29, 2024

Hello :) Today is Day 88!

A quick summary of today:

Covered Chapter 2: Statitiscal learning, and
Chapter 3: Linear regression of the infamous ISLP book

(Day 87) Registered for Stanford's XCS224W - Machine Learning with Graphs + RAG webapp with llama-index tutorial

March 28, 2024

Hello :) Today is Day 87!

A quick summary of today:

after a lot of thought and considerations I finally registered for one of Stanford’s AI professional program courses - XCS224W
Went over fresh published by deeplearning.ai - JavaScript RAG Web Apps with LlamaIndex

(Day 86) Made a youtube video - Chat with your PDF for free in colab using huggingface, mongodb, llama_index, langchain

March 27, 2024

Hello :) Today is Day 86!

A quick summary of today:

Coded, planned, recorded and posted a video tutorial making a chat with your pdf rag system for free
All code + colab link + pdf used is on this github repo

(Day 85) How to write a great research paper

March 26, 2024

Hello :) Today is Day 85!

A quick summary of today:

An amazing talk about how to write a great research paper by Simon Peyton Jones
Submitted a draft for a research proposal for next semester

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