Machine Learning
Dive into the world of AI and machine learning algorithms
Course Overview
This course covers the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, and deep learning. You'll work on real-world projects using popular frameworks like TensorFlow and PyTorch.
Syllabus
- Introduction to Machine Learning
- Supervised Learning Algorithms
- Unsupervised Learning Algorithms
- Neural Networks and Deep Learning
- Natural Language Processing
- Computer Vision
- Reinforcement Learning
- ML Model Deployment
- Ethics in AI
- Final Project
Instructor
Dr. Alex Johnson
Dr. Johnson is a renowned AI researcher with numerous publications in top-tier conferences and journals. He has worked on cutting-edge ML projects at leading tech companies.
Testimonials
"This course provided an excellent balance of theory and practical applications. Dr. Johnson's expertise is truly impressive."
- Rachel Kim
"The hands-on projects in this course gave me the confidence to apply ML techniques in my work. It's been transformative for my career."
- Tom Baker
Course Details
Duration: 14 weeks
Level: Intermediate to Advanced