Advanced Machine Learning

Completed by KENNEDY KAMANDE WANGARI

April 24, 2020

Approximately months at hours a week to complete

Course Certificates Completed

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

Deep Learning in Computer Vision

Introduction to Deep Learning

Addressing Large Hadron Collider Challenges by Machine Learning

Practical Reinforcement Learning

Bayesian Methods for Machine Learning

Natural Language Processing

View certificate for KENNEDY KAMANDE  WANGARI, Advanced Machine Learning, offered through Coursera. 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.

Course Certificates

Earned after completing each course in the Specialization

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

HSE University

Taught by: Dmitry Ulyanov, Alexander Guschin, Mikhail Trofimov, Dmitry Altukhov & Marios Michailidis

Completed by: KENNEDY KAMANDE WANGARI by November 29, 2019

6-10 hours/week

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Deep Learning in Computer Vision

HSE University

Taught by: Anton Konushin & Alexey Artemov

Completed by: KENNEDY KAMANDE WANGARI by December 30, 2019

5 weeks of study/ 4-5 hours per week

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Introduction to Deep Learning

HSE University

Taught by: Evgeny Sokolov, Зимовнов Андрей Вадимович, Alexander Panin, Ekaterina Lobacheva & Nikita Kazeev

Completed by: KENNEDY KAMANDE WANGARI by December 30, 2019

6 weeks of study, 6-10 hours/week

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Addressing Large Hadron Collider Challenges by Machine Learning

HSE University

Taught by: Andrei Ustyuzhanin & Mikhail Hushchyn

Completed by: KENNEDY KAMANDE WANGARI by April 24, 2020

5 weeks of study, 3-5 hours/week

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Practical Reinforcement Learning

HSE University

Taught by: Pavel Shvechikov & Alexander Panin

Completed by: KENNEDY KAMANDE WANGARI by February 10, 2020

6 weeks of study, 3-6 hours/week for base track, 6-9 with all the horrors of honors section

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Bayesian Methods for Machine Learning

HSE University

Taught by: Daniil Polykovskiy & Alexander Novikov

Completed by: KENNEDY KAMANDE WANGARI by December 29, 2019

6 weeks of study, 6 hours/week

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Natural Language Processing

HSE University

Taught by: Anna Potapenko, Alexey Zobnin, Anna Kozlova, Sergey Yudin & Зимовнов Андрей Вадимович

Completed by: KENNEDY KAMANDE WANGARI by December 30, 2019

5 weeks of study, 4-5 hours per week

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