You must be logged in to take this course → LOGIN | REGISTER NOW
This course focus on machine learning refers to the automated identification of patterns in data. As such it has been a fertile ground for new statistical and algorithmic developments. In this course is it provides a mathematically rigorous introduction to these developments with emphasis on methods and their analysis. Topics will be covered such as the statistical theory of machine learning, Algorithms, and Convexity.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.
Having an Official Edukite Certification is a great way to celebrate and share your success. You can:
- Add the certificate to your CV or resume and brighten up your career
- Show it to prove your success
Course Credit: MIT
Course Curriculum
| Module: 01 | |||
| Introduction | 00:15:00 | ||
| Binary Classification | 00:15:00 | ||
| Concentration Inequalities | 00:15:00 | ||
| Fast Rates and VC Theory | 00:10:00 | ||
| The VC Inequality | 00:15:00 | ||
| Module: 02 | |||
| Covering Numbers | 00:15:00 | ||
| Chaining | 00:15:00 | ||
| Convexification | 00:15:00 | ||
| Boosting | 00:15:00 | ||
| Support Vector Machines | 00:15:00 | ||
| Module: 03 | |||
| Gradient Descent | 00:10:00 | ||
| Projected Gradient Descent | 00:10:00 | ||
| Mirror Descent | 00:10:00 | ||
| Stochastic Gradient Descent | 00:15:00 | ||
| Prediction with Expert Advice | 00:15:00 | ||
| Module: 04 | |||
| Follow the Perturbed Leader | 00:20:00 | ||
| Online Learning with Structured Experts | 00:20:00 | ||
| Stochastic Bandits | 00:20:00 | ||
| Prediction of Individual Sequences | 00:15:00 | ||
| Adversarial Bandits | 00:20:00 | ||
| Module: 05 | |||
| Linear Bandits | 00:20:00 | ||
| Blackwell’s Approachability | 00:20:00 | ||
| Potential Based Approachability | 00:20:00 | ||
| Assessment | |||
| Submit Your Assignment | 00:00:00 | ||
| Certification | 00:00:00 | ||
Course Reviews
No Reviews found for this course.
