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Higher School of Economics

Advanced Machine Learning

Higher School of Economics via Coursera Specialization

Overview

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.

Syllabus

Course 1: Introduction to Deep Learning
- Offered by HSE University. The goal of this course is to give learners basic understanding of modern neural networks and their applications ... Enroll for free.

Course 2: How to Win a Data Science Competition: Learn from Top Kagglers
- Offered by HSE University. If you want to break into competitive data science, then this course is for you! Participating in predictive ... Enroll for free.

Course 3: Bayesian Methods for Machine Learning
- Offered by HSE University. People apply Bayesian methods in many areas: from game development to drug discovery. They give superpowers to ... Enroll for free.

Course 4: Practical Reinforcement Learning
- Offered by HSE University. Welcome to the Reinforcement Learning course. Here you will find out about: - foundations of RL methods: ... Enroll for free.

Course 5: Deep Learning in Computer Vision
- Offered by HSE University. Deep learning added a huge boost to the already rapidly developing field of computer vision. With deep learning, ... Enroll for free.

Course 6: Natural Language Processing
- Offered by HSE University. This course covers a wide range of tasks in Natural Language Processing from basic to advanced: sentiment ... Enroll for free.

Course 7: Addressing Large Hadron Collider Challenges by Machine Learning
- Offered by HSE University. The Large Hadron Collider (LHC) is the largest data generation machine for the time being. It doesn’t produce the ... Enroll for free.

Courses

Taught by

Alexander Guschin, Alexander Novikov, Alexander Panin, Alexey Artemov, Alexey Zobnin, Andrei Ustyuzhanin, Andrei Zimovnov, Anna Kozlova, Anna Potapenko, Anton Konushin, Daniil Polykovskiy, Dmitry Altukhov, Dmitry Ulyanov, Ekaterina Lobacheva, Evgeny Sokolov, Marios Michailidis, Mikhail Hushchyn, Mikhail Trofimov, Nikita Kazeev, Pavel Shvechikov and Sergey Yudin

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