Advanced Machine Learning Specialization — Coursera
This course ranks 5th in the top best online Machine Learning courses. This is another advanced set of courses that covers a wide range of topics. This Specialization is the key to a balanced and thorough online program if you want to explore as many machine learning techniques as feasible.
This course's instruction is excellent: it is well-presented and brief. Because of its advanced nature, it will need more math than any of the other courses mentioned thus far. If you've already completed a basic course and reviewed linear algebra and calculus, this is a wonderful way to round up your machine learning knowledge. Many machine learning tasks require much of what is presented in this Specialization.
Courses:
- Introduction to Deep LearningIntro to Optimization
- How to Win Data Science Competitions: Learn from Top Kagglers
- Bayesian Methods for Machine Learning
- Practical Reinforcement Learning
- Deep Learning in Computer Vision
- Natural Language Processing
- Addressing the Large Hadron Collider Challenges by Machine Learning
This set of courses takes roughly 8-10 months to finish, so if you start now, you'll have studied a lot about machine learning and be ready to tackle more cutting-edge applications in less than a year. Throughout the months, you'll be working on many real-world projects that will teach a computer to read, see, and play. These projects will make excellent additions to your portfolio and will make your GitHub account appear highly active to any potential employers.
Provider: National Research University Higher School of Economics
Cost: Free to audit, $49/month for Certificate
Rate: 4.7/5
Enroll here :https://tinyurl.com/mrcb7x7m
