Artificial Intelligence Foundations: Machine Learning

Introduction

• Welcome

1. What Is Machine Learning?

• What it means to learn
• Work with data
• Apply machine learning
• Different types of machine learning

2. Different Ways a Machine Learns

• Supervised
• Unsupervised
• Semi-supervised
• Reinforcement

3. Popular Machine Learning Algorithms

• Problems that use machine learning
• Decision trees
• k-nearest neighbor
• K-mean clustering
• Regression
• Naive Bayes

4. Applying Algorithms

• Follow the data
• Fit the data
• Select the best algorithm

5. Common Challenges

• Machine learning challenges

Conclusion

• Next steps