About this Specialization

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This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.
Learner Career Outcomes
38%
Started a new career after completing this specialization.
43%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Advanced Level
Approx. 10 months to complete
Suggested 6 hours/week
English
Learner Career Outcomes
38%
Started a new career after completing this specialization.
43%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Advanced Level
Approx. 10 months to complete
Suggested 6 hours/week
English

There are 7 Courses in this Specialization

Course1

Course 1

Introduction to Deep Learning

4.6
stars
1,662 ratings
385 reviews
Course2

Course 2

How to Win a Data Science Competition: Learn from Top Kagglers

4.7
stars
1,032 ratings
249 reviews
Course3

Course 3

Bayesian Methods for Machine Learning

4.5
stars
620 ratings
182 reviews
Course4

Course 4

Practical Reinforcement Learning

4.2
stars
405 ratings
111 reviews

Instructors

Offered by

Placeholder

National Research University Higher School of Economics

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Frequently Asked Questions

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