📚 learning

Mostly what I am learning.

Core Skills

Python Programming

Resource	Progress
Book: A Byte of Python	✅
Youtube: Tutorial: Sebastian Witowski - Modern Python Developer's Toolkit	✅
Book: Python 201

Version Control

Resource	Progress
Git Essential Training	✅

Linux and Shell

Resource	Progress
MIT: The Missing Semester

Maths

Resource	Progress
Book: Introduction to Linear Algebra by Gilbert Strang	✅
YouTube: MIT 18.06 Linear Algebra, Spring 2005	✅
YouTube: Essence of linear algebra	✅
Probability for Computer Scientists

Specialization

Machine Learning/Deep Learning/ Data Science

Resource	Progress
Book: Python Data Science Handbook	✅
Book: Neural Networks and Deep Learning by Michael Nielsen	✅
YouTube: Neural Networks by 3Blue1Brown	✅
Book: Deep Learning by Ian Goodfellow	[###]
Book: Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Article: An overview of gradient descent optimization algorithms
Book: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Fast.ai: Practical Deep Learning (Part 1)
Fast.ai: Practical Deep Learning (Part 2)
karpathy: Neural Networks: Zero to Hero
nVidia: Getting Started with Deep Learning

Computer Vision and Generative Models

Resource	Progress
YouTube: Lecture Collection Convolutional Neural Networks for Visual	✅
YouTube: DeepRobo Winter Lecture
Stanford CS236: Deep Generative Models

LLM

Resource	Progress
Karpathy: Intro to Large Language Models
Karpathy: Let's build the GPT Tokenizer
Karpathy: Let's reproduce GPT-2 (124M)
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
Stanford CS25: V1 I Transformers United: DL Models that have revolutionized NLP, CV, RL

Information Retrieval / RAG

Resource	Progress
Youtube: Building a RAG from scratch	✅
Langchain Tutorial

NLP

Resource	Progress
YouTube: A Hackers' Guide to Language Models	✅
HuggingFace: NLP course - Hugging face
nVidia: Building Transformer-Based Natural Language Processing
Book: Natural Language Processing with Transformers
Stanford CS224U: Natural Language Understanding | Spring 2019
Stanford CS224N: NLP with Deep Learning Winter 2021
Stanford CS224N: Stanford CS224N: NLP with Deep Learning | Winter 2019
CMU: Low-resource NLP Bootcamp 2020
CMU Multilingual NLP 2020

Tools and Framework

Pandas

Resource	Progress

PyTorch

Resource	Progress
Docs: Pytorch Tutorials	✅

Next.JS

Resource	Progress
Docs: Next.js	[###]

Django REST Framework

Resource	Progress
Docs: Django REST Framework	[####]

Product

Product/UI/UX

Resource	Progress
Book: Don't Make me think
Book: The Mom test	[##]
Book: Hooked	[##]
HBR's 10 Must Reads on Design Thinking

Papers

Resource	Progress
Deep Residual Learning for Image Recognition	✅
You Only Look Once: Unified, Real-Time Object Detection	✅
A non-self-intersection Douglas-Peucker Algorithm	✅
Universal Language Model Fine-tuning for Text Classification
Generative Adversarial Nets	✅
Detecting Roads from Satellite Imagery in the Developing World	✅