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Advanced Machine Learning

Deep Dive Into The Modern AI Techniques. You will teach computer to see, draw, read, talk, play games and solve industry problems.

Дату старта объявим позже
  • Дополнительное образование для детей и взрослых

    уровень образования

  • Английский

    язык программы

  • 16 недель

    длительность программы

  • около 6 часов в неделю

    понадобится для освоения

  • 10 зачётных единиц

    360 академических часов

  • Стоимость 21 000 Р

    за обучение

This Specialization contains series of 3 courses that are devoted to The Modern AI Techniques and devoted to filling the gap between theory and practice. You will learn how to build high rank solutions with focus on practical usage of machine learning. You will teach computer to see, draw, read, talk, play games and solve industry problems.

Learning courses of specialization take place on the platform online.hse.ru. Preview of the materials and payment for the specialization at the link.

О программе

This specialization gives an introduction to deep learning, reinforcement learning and Bayesian methods.  Upon completion of 3 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.

Формат

In addition to lectures and theoretical assignments, the specialization also includes practical assignments in Python and projects, which will allow the student to apply the knowledge to solve problems close to data analysis. Some programming assignments are based on real data and give an idea about simple solutions of applied problems.

Требования

  • It is intended for practicing professionals.
  • Программа обучения

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

    • Bayesian Methods for Machine Learning

    • Addressing Large Hadron Collider Challenges by Machine Learning

    Результаты обучения

    • Learn how Bayesian neural networks work
    • Learn how to use modern deep neural networks to solve various machine learning problems with complex input and develop new algorithms for new problems.
    • You will be able to implement the best practices of data mining, preprocessing and feature engineering

    Направления подготовки

    Ульянов Дмитрий


    Должность: Факультет компьютерных наук, приглашенный преподаватель

    Трофимов Михаил


    Должность: Факультет компьютерных наук, приглашенный преподаватель

    Michailidis Marios


    Должность: Research Data Scientist

    Гущин Александр


    Должность: Факультет компьютерных наук, приглашенный преподаватель

    Атлухов Дмитрий


    Должность: Факультет компьютерных наук, приглашенный преподаватель

    Устюжанин Андрей Евгеньевич


    Должность: Факультет компьютерных наук, лектор

    Курсы в программе