BASIC CONTENT:

A) Python

Python is a beginner-friendly language widely used in data science and AI. With libraries like NumPy, Pandas, Matplotlib, and PyTorch, it’s ideal for data analysis, machine learning, and deep learning. Here are some key resources to learn or review Python basics (skip if you’re already familiar).

  1. https://youtu.be/kqtD5dpn9C8?si=YVC-_cUaq-ehpS38
  2. https://www.w3schools.com/python/python_intro.asp

B) Jupyter Notebook and Google Colab

Jupyter Notebook and Google Colab are excellent tools for interactive programming and data analysis. Jupyter Notebook allows you to write and run Python code in a browser-based interface, making it easy to combine code, visualizations, and explanations. Google Colab is a cloud-based platform similar to Jupyter but with the added benefit of free access to powerful computing resources like GPUs. Both tools are widely used in data science, machine learning, and AI development, making them ideal for experimenting with Python code and sharing projects effortlessly. It is suggested that you choose one of these environments to code based on your ease and liking and stick with it throughout the bootcamp. You can check out how to use both or either of them here:

  1. https://youtu.be/mR8cvcwJ1Ko?si=Cq06NypG_UGcrUR-
  2. https://youtu.be/rsBiVxzmhG0?si=rlfMT7EJ9J1FNIFF
  3. https://youtu.be/RLYoEyIHL6A?si=j6my0dwVlOyZOVMJ

C) Neural Networks

Let’s start with the core of Deep Learning — Neural Networks.

Inspired by the human brain, neural networks use interconnected artificial “neurons” to process inputs and generate outputs. They power applications like image recognition, language processing, and decision-making. Explore these resources to understand how they enable intelligent systems.

  1. https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi - The first 4 videos of the playlist should suffice.
  2. https://www.youtube.com/playlist?list=PLblh5JKOoLUIxGDQs4LFFD--41Vzf-ME1 - The first 8 videos of the playlist should suffice.
  3. https://medium.com/deep-learning-demystified/introduction-to-neural-networks-part-1-e13f132c6d7e
  4. https://medium.com/deep-learning-demystified/introduction-to-neural-networks-part-2-c261a99f4138

D) PyTorch for Deep learning

PyTorch is a popular open-source deep learning framework known for its flexibility and ease of use. It supports dynamic computation graphs, making it ideal for research and experimentation in NLP, computer vision, and reinforcement learning. Below are some recommended resources to get started — use as many as you need.