Week 2 - Machine Learning PDF

Objectives : WHAT IS ML WHERE WE CAN HOW MACHINE APPLICATIONS (MACHINE FIND ML IN OUR LEARNING AND AND EXAMPLES LEARNING)? LIVES ? AI ARE OF ML ? CONNECTED ?  What is ML (Machine Learning)? is a subset of AI whe...

Objectives : WHAT IS ML WHERE WE CAN HOW MACHINE APPLICATIONS (MACHINE FIND ML IN OUR LEARNING AND AND EXAMPLES LEARNING)? LIVES ? AI ARE OF ML ? CONNECTED ?  What is ML (Machine Learning)? is a subset of AI where machines learn from data and improve their performance over time without being explicitly programmed. Instead of following preset instructions, ML algorithms identify patterns and use them to make predictions or decisions. Where we can find ML in our lives ? Email spam filters Social media platforms Smart Devices and Assistants Online Services Weather Predictions Fitness Apps Applications and Examples of ML ML Simulators: These tools allow users to experiment with machine learning models by inputting data and seeing how the models make predictions. Examples :Google’s Teachable Machine and IBM's Watson Studio. Real-world examples: -Predictive text suggestions when typing on smartphones -Personalized product recommendations on e- commerce platforms like Amazon - Medical diagnostics systems that analyze patient  Types of Machine Learning SUPERVISED UNSUPERVISED REINFORCEMENT LEARNING LEARNING LEARNING Type Labeled Data? Goal Example Applications Supervised Learning Unsupervised Learning Reinforcement Learning  Type Labeled Data? Goal Example Applications Supervised Predict output for given Spam detection, price Yes Learning input. prediction Find patterns or group Customer segmentation, Unsupervised No data. clustering Learning Self-driving cars, gaming Reinforcement Learn optimal actions No (reward-based) AI Learning through rewards.  Search : How machine learning and AI are connected ? Activity : Presentation: ML in Healthcare Prepare a presentation that explores how machine learning is revolutionizing the healthcare industry (e.g., diagnosing diseases, personalized medicine). Provide case studies or examples of companies using ML for healthcare. Hint: Use ChatGPT for help.