A) Python

Python is a beginner-friendly programming language widely used in the fields of data science and artificial intelligence. It offers powerful libraries and frameworks, like NumPy, Pandas, Matplotlib and PyTorch, making it especially useful for tasks like data analysis, machine learning, and deep learning. Python’s easy syntax, growing popularity and large community make it an essential tool for modern programming. Here are some basic and popular Python resources for you to get started or brush up on the syntax of Python, you may skip them if you know the basics of Python coding:

  1. https://youtu.be/kqtD5dpn9C8?si=YVC-_cUaq-ehpS38
  2. https://www.w3schools.com/python/python_intro.asp
  3. https://youtu.be/VchuKL44s6E?si=vKHXhjIbYkBVyQwl

If you aren’t much of a programmer and want to learn Python, it is suggested that you look out for a more intensive course on Python and follow through with the key parts, while simultaneously coding what is being tutored. You can use any or all of these resources:

  1. https://youtu.be/_uQrJ0TkZlc?si=uUj9M-iaY-xnt5uV
  2. https://youtu.be/eWRfhZUzrAc?si=v-69v0IObNRh7AIx

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/HLD-Ll_-IT4?si=TGAzWgW2C8Heg6Lg
  3. https://youtu.be/rsBiVxzmhG0?si=rlfMT7EJ9J1FNIFF
  4. https://youtu.be/RLYoEyIHL6A?si=j6my0dwVlOyZOVMJ

C) Neural Networks

Let us begin with the basic building blocks of Deep Learning, a Neural Network. A neural network is a computational model inspired by the way human brains process information. Just like our brain has neurons that communicate with each other to make decisions, a neural network consists of artificial neurons, or "nodes," arranged in layers. Each neuron receives inputs, processes them through mathematical functions, and passes the output to the next layer. These networks are widely used in tasks like image recognition, language processing, and decision-making, making them a key tool in modern AI. Refer to these resources carefully to understand what magic goes behind making intelligent systems:

Basic resources:

  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.