уровень образования
язык программы
длительность программы
понадобится для освоения
360 академических часов
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.
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.
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.
How to Win a Data Science Competition: Learn from Top Kagglers
Bayesian Methods for Machine Learning
Addressing Large Hadron Collider Challenges by Machine Learning
уровень образования
язык программы
длительность программы
понадобится для освоения
360 академических часов
за обучение
Должность: Факультет компьютерных наук, приглашенный преподаватель
Должность: Факультет компьютерных наук, приглашенный преподаватель
Должность: Research Data Scientist
Должность: Факультет компьютерных наук, приглашенный преподаватель
Должность: Факультет компьютерных наук, приглашенный преподаватель
Должность: Факультет компьютерных наук, лектор