Prerequisites
Before diving deep into AI/ML:
1. Math Essentials
• Linear Algebra – Vectors, Matrices, Eigenvalues
• Probability & Statistics – Distributions, Bayes Theorem
• Calculus – Derivatives, Gradients (for optimization)
• Discrete Mathematics (basic logic & set theory)
2. Programming (Python Preferred)
•
Variables, loops, functions, OOP
• Libraries: NumPy, Pandas, Matplotlib
AI & ML Roadmap
Stage 1: Core Machine Learning
1. Supervised Learning
o Linear Regression
o Logistic Regression
o Decision Trees
o SVM
o KNN
2. Unsupervised Learning
o Clustering (K-Means, DBSCAN)
o Dimensionality Reduction (PCA, t-SNE)
3. Model Evaluation
o Accuracy, Precision, Recall, F1-Score
o Confusion Matrix
o Cross-Validation
4. ML Tools
o scikit-learn
o Seaborn, Matplotlib
Project idea: Predict housing prices, classify spam emails
Stage 2: Deep Learning (DL)
1. Neural Networks
o Perceptron
o Activation Functions
o Backpropagation
2. Frameworks
o TensorFlow
o Keras or PyTorch
3. Deep Architectures
o CNN (for images)
o RNN/LSTM (for sequences)
o Autoencoders
Project idea: Handwritten digit recognition (MNIST), sentiment analysis
Stage 3: Advanced Topics
1. Natural Language Processing (NLP)
o Tokenization, Stemming, Lemmatization
o Word Embeddings (Word2Vec, GloVe)
o Transformers (BERT, GPT)
2. Computer Vision
o Image Classification
o Object Detection (YOLO, SSD)
o Image Segmentation
3. Reinforcement Learning
o Q-Learning
o Deep Q-Networks (DQN)
Project idea: Chatbot, Face Recognition, Game AI
Stage 4: Deployment & MLOps
1. Model Deployment
o Flask / FastAPI for APIs
o Streamlit / Gradio for demos
2. MLOps Basics
o Model versioning (MLflow, DVC)
o Serving (Docker, Kubernetes)
o Monitoring
Tools & Platforms
• Datasets: Kaggle, UCI ML Repo
•Courses:
o Andrew Ng’s ML Course (Coursera)
o Fast.ai
o Deep Learning Specialization - Coursera
• Books:
o Hands-On ML with Scikit-Learn, Keras, and TensorFlow (Aurélien Géron)
o Deep Learning by Ian Goodfellow
🛠Suggested Project Ideas by Level
Level
Project Ideas
Beginner
Linear regression, Iris classification
Intermediate
Face detection, Spam classifier
Advanced
Image captioning, Autonomous driving simulation, ChatGPT clone (simple)
