Course Guide for learning Artifical Intelligence and Machine Learning

[fianio]

Hello everyone,
I had been always the great fan of defcon and the technology you guys have introduced. Today i would like to ask for the Complete Syllabus to study for AI and ML.
Can any one help me with this?

[eren]

Hello there !
To start AI and ML you need to get started in theses areas :
(optional this is first but will be of great use while understanding concepts in detail or even for small things)

• 1.Probability and Statistics
• 2.Linear Algebra
• 3.Calculus (Basics only)

next up are basic terminologies like
Types of ML

• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• ML Pipeline Overview:
  • Data collection, cleaning, preprocessing
  • Model training, evaluation, deployment

next up is learning them and applying them in deep understanding:

1. Neural Networks Basics
2. Perceptron
3. Activation Functions (Sigmoid, ReLU, Tanh)
4. Loss Functions
5. Backpropagation
6. Gradient Descent
7. Deep Learning Frameworks
8. Introduction to TensorFlow & PyTorch (Choose one)
9. Deep Neural Networks
10. Feedforward Neural Networks
11. Convolutional Neural Networks (CNNs)
12. Recurrent Neural Networks (RNNs)
13. LSTMs (intro only)

finally try making real useful projects these may be difficult but will be very useful in the future

After completion of these basic projects pick one or two specializations like

1. computer vision
2. nlp/llms
3. LLMs + GenAI
4. Applied ML