A 7-course Specialization from Coursera

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Advanced Machine Learning

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Deep Dive Into The Modern AI Techniques

About this Specialization

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.

Coursera

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Higher School of Economics, National Research University Higher School of Economics

From Higher School of Economics, National Research University Higher School of Economics via Coursera
Hours 266
Instructors Anton Konushin, Alexey Artemov, Andrei Zimovnov, Ekaterina Lobacheva, Alexander Panin, Evgeny Sokolov, Nikita Kazeev, Andrei Ustyuzhanin, Mikhail Hushchyn, Dmitry Altukhov, Dmitry Ulyanov, Marios Michailidis, Alexander Guschin, Mikhail Trofimov, Daniil Polykovskiy, Alexander Novikov, Anna Potapenko, Anna Kozlova, Sergey Yudin, Alexey Zobnin, Pavel Shvechikov
Language English
Subjects Programming Data Science
Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

Research Scientist-Machine Learning $55k

Cloud Architect - Azure / Machine Learning $75k

Watson Machine Learning Engineer $81k

Machine Learning Software Developer $103k

Software Engineer (Machine Learning) $116k

Applied Scientist, Machine Learning $130k

Autonomy and Machine Learning Solutions Architect $131k

Applied Scientist - Machine Learning -... $136k

RESEARCH SCIENTIST (MACHINE LEARNING) $147k

Machine Learning Engineer 2 $161k

Machine Learning Scientist Manager $170k

Machine Learning Scientist, Personalization $213k

Courses in this Specialization

Listed in the order in which they should be taken

Starts Course Information

Nov
18

Introduction to Deep Learning

The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course...

Coursera | Higher School of Economics, National Research University Higher School of Economics

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Nov
18

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

If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve...

Coursera | Higher School of Economics, National Research University Higher School of Economics

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Nov
18

Bayesian Methods for Machine Learning

People apply Bayesian methods in many areas: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting...

Coursera | Higher School of Economics, National Research University Higher School of Economics

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Nov
11

Practical Reinforcement Learning

Welcome to the Reinforcement Learning course. Here you will find out about: - foundations of RL methods: value/policy iteration, q-learning, policy gradient, etc. --- with math...

Coursera | Higher School of Economics, National Research University Higher School of Economics

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Nov
18

Deep Learning in Computer Vision

Deep learning added a huge boost to the already rapidly developing field of computer vision. With deep learning, a lot of new applications of computer vision techniques have been...

Coursera | Higher School of Economics, National Research University Higher School of Economics

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Nov
18

Natural Language Processing

This course covers a wide range of tasks in Natural Language Processing from basic to advanced: sentiment analysis, summarization, dialogue state tracking, to name a few. Upon...

Coursera | Higher School of Economics, National Research University Higher School of Economics

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For $49
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Nov
11

Addressing Large Hadron Collider Challenges by Machine Learning

The Large Hadron Collider (LHC) is the largest data generation machine for the time being. It doesn’t produce the big data, the data is gigantic. Just one of the four experiments...

Coursera | Higher School of Economics, National Research University Higher School of Economics

Take just this course
For $79
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Coursera

&

Higher School of Economics, National Research University Higher School of Economics

From Higher School of Economics, National Research University Higher School of Economics via Coursera
Hours 266
Instructors Anton Konushin, Alexey Artemov, Andrei Zimovnov, Ekaterina Lobacheva, Alexander Panin, Evgeny Sokolov, Nikita Kazeev, Andrei Ustyuzhanin, Mikhail Hushchyn, Dmitry Altukhov, Dmitry Ulyanov, Marios Michailidis, Alexander Guschin, Mikhail Trofimov, Daniil Polykovskiy, Alexander Novikov, Anna Potapenko, Anna Kozlova, Sergey Yudin, Alexey Zobnin, Pavel Shvechikov
Language English
Subjects Programming Data Science
Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

Research Scientist-Machine Learning $55k

Cloud Architect - Azure / Machine Learning $75k

Watson Machine Learning Engineer $81k

Machine Learning Software Developer $103k

Software Engineer (Machine Learning) $116k

Applied Scientist, Machine Learning $130k

Autonomy and Machine Learning Solutions Architect $131k

Applied Scientist - Machine Learning -... $136k

RESEARCH SCIENTIST (MACHINE LEARNING) $147k

Machine Learning Engineer 2 $161k

Machine Learning Scientist Manager $170k

Machine Learning Scientist, Personalization $213k