Advanced Machine Learning Specialization

Գինը: Անվճար

Անցկացման օր: Ըստ պահանջի

Տեսակը: Էլ-ուսուցում

Կատեգորիա՝ Այլ ՏՏ

Լեզու: Անգլերեն

Անցկացման վայր: Օնլայն

Training Description:

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.

Լրացուցիչ տեղեկություն

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

Խոսնակներ:

 

Mikhail Hushchyn

Researcher at Laboratory for Methods of Big Data Analysis

HSE Faculty of Computer Science

 

Alexey Zobnin

Accosiate professor

HSE Faculty of Computer Science

 

Alexey Artemov

Senior Lecturer

HSE Faculty of Computer Science

 

Sergey Yudin

Analyst-developer

Yandex

 

Alexander Guschin

Visiting lecturer at HSE, Lecturer at MIPT

HSE Faculty of Computer Science

 

Nikita Kazeev

Researcher

HSE Faculty of Computer Science

 

Andrei Ustyuzhanin

Head of Laboratory for Methods of Big Data Analysis

HSE Faculty of Computer Science

 

Dmitry Ulyanov

Visiting lecturer

HSE Faculty of Computer Science

 

Marios Michailidis

Research Data Scientist

H2O.ai

 

Daniil Polykovskiy

Sr. Research Scientist

HSE Faculty of Computer Science

 

Ekaterina Lobacheva

Senior Lecturer

HSE Faculty of Computer Science

 

Andrei Zimovnov

Senior Lecturer

HSE Faculty of Computer Science

 

Alexander Novikov

Researcher

HSE Faculty of Computer Science

 

Dmitry Altukhov

Visiting lecturer

HSE Faculty of Computer Science

 

Pavel Shvechikov

Researcher at HSE and Sberbank AI Lab

HSE Faculty of Computer Science

 

Anton Konushin

Senior Lecturer

HSE Faculty of Computer Science

 

Anna Kozlova

Team Lead

Yandex

 

Mikhail Trofimov

Visiting lecturer

HSE Faculty of Computer Science

 

Evgeny Sokolov

Senior Lecturer

HSE Faculty of Computer Science

 

Alexander Panin

Lecturer

HSE Faculty of Computer Science

 

Anna Potapenko

Researcher

HSE Faculty of Computer Science

Մասնագիտական հմտություններ

Մեքենայական ուսուցում

Մասնակցություն

Գրանցման վերջնաժամկետ 21 Մայիս 2020

Կիսվել ընկերների հետ

Թրեյնինգ կենտրոնի մասին

Ընկերության տեսակը` ՍՊԸ/ԲԲԸ/ՓԲԸ

Աշխատակիցների քանակը` 500-1500