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.
Programa Especializado - 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.
Sobre este Programa Especializado
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.
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Descripción general de los proyectos
- Advanced Specialization.
- Designed for those already in the industry.
Introduction to Deep LearningSesión actual: Jun 18
- 6 weeks of study, 6-10 hours/week
Acerca del CursoThe 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
How to Win a Data Science Competition: Learn from Top KagglersSesión actual: Jun 18
- 6-10 hours/week
Acerca del CursoIf 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
Bayesian Methods for Machine LearningSesión actual: Jun 18
- 6 weeks of study, 6 hours/week
Acerca del CursoBayesian 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
Practical Reinforcement LearningPróxima sesión: Jun 25
- 6 weeks of study, 3-6 hours/week for base track, 6-9 with all the horrors of honors section
Acerca del CursoWelcome 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
Deep Learning in Computer VisionSesión actual: Jun 18
- 5 weeks of study
Acerca del CursoDeep 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
Natural Language ProcessingSesión actual: Jun 18
- 5 weeks of study, 4-5 hours per week
Acerca del CursoThis 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
Addressing Large Hadron Collider Challenges by Machine LearningComienza el July 2018
- 5 weeks of study
Acerca del CursoThe 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 only going to be increased over the time. So the data processing techniques have to be quite sophisticated and unique. In this course we’ll introduce students into the main concepts of the Physics behind those data flow so the main puzzles of the Universe Physicists are seeking answers for will be much more transparent. Of course we will scrutinize the major stages of the data processing pipelines, and focus on the role of the Machine Learning techniques for such tasks as track pattern recognition, particle identification, online real-time processing (triggers) and search for very rare decays. The assignments of this course will give you opportunity to apply your skills in the search for the New Physics using advanced data analysis techniques. Upon the completion of the course you will understand both the principles of the Experimental Physics and Machine Learning much better.
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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