Intro_to_ML_Presentation

1. Introduction to Machine
Learning

2. What is Machine Learning?
• Field of AI focused on learning from data
• Enables systems to make predictions

3. Types of Machine Learning
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning

4. Key Algorithms
• Linear/Logistic Regression
• Decision Trees
• SVM, K-Means, Neural Networks

5. Applications
• Image recognition
• Recommender systems
• Medical diagnosis

6. Resources
• Coursera (Andrew Ng)
• scikit-learn docs
• Hands-On ML with Scikit-Learn & TensorFlow