You will master your skills by solving a wide variety of real-world problems like image captioning and automatic game playing throughout the course projects. You will gain the hands-on experience of applying advanced machine learning techniques that provide the foundation to the current state-of-the art in AI.
Advanced Machine Learning 專項課程
Deep Dive Into The Modern AI Techniques。 You will teach computer to see, draw, read, talk, play games and solve industry problems.
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.
- Advanced Specialization.
- Designed for those already in the industry.
第 1 門課程
Introduction to Deep Learning
- 6 weeks of study, 6-10 hours/week
課程概述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 starts with a recap of linear models and discussion of stoch
第 2 門課程
How to Win a Data Science Competition: Learn from Top Kagglers
- 6-10 hours/week
課程概述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 and harness your data modelling skills in various domains su
第 3 門課程
Bayesian Methods for Machine Learning
- 6 weeks of study, 6 hours/week
課程概述Bayesian methods are used in lots of fields: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. Bayesian methods also allow
第 4 門課程
Practical Reinforcement Learning
- 6 weeks of study, 3-6 hours/week for base track, 6-9 with all the horrors of honors section
課程概述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 & batteries included - using deep neural networks for RL task
第 5 門課程
Deep Learning in Computer Vision
- 5 weeks of study
課程概述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 introduced and are now becoming parts of our everyday lives. These in
第 6 門課程
Natural Language Processing
- 5 weeks of study, 4-5 hours per week
課程概述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 completing, you will be able to recognize NLP tasks in your day-to-day
第 7 門課程
Addressing Large Hadron Collider Challenges by Machine Learning
- 5 weeks of study
課程概述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 generates thousands gigabytes per second. The intensity of data flow is
Researcher at HSE and Sberbank AI Lab
Researcher at Laboratory for Methods of Big Data Analysis
Research Data Scientist
Head of Laboratory for Methods of Big Data Analysis
Visiting lecturer at HSE, Lecturer at MIPT
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