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Продвинутые методы машинного обучения
Анастасия Рысьмятова,
Артем Филатов,
Евгений Ковалев,
Evgeny Sokolov,
Вадим Кохтев,
and
Зимовнов Андрей Вадимович
Анастасия Рысьмятова,
Артем Филатов,
Евгений Ковалев,
Evgeny Sokolov,
Вадим Кохтев,
and
Зимовнов Андрей Вадимович
"Продвинутые методы машинного обучения" — продолжение специализации “Машинное обучение: от статистики до нейросетей” от НИУ ВШЭ.
В данном онлайн-курсе мы затронем три темы. Первая — решающие деревья и их композиции. Эти методы сильно отличаются от линейных,...
Read more
"Продвинутые методы машинного обучения" — продолжение специализации “Машинное обучение: от статистики до нейросетей” от НИУ ВШЭ.
В данном онлайн-курсе мы затронем три темы. Первая — решающие деревья и их композиции. Эти методы сильно отличаются от линейных,...
Read more
"Продвинутые методы машинного обучения" — продолжение специализации “Машинное обучение: от статистики до нейросетей” от НИУ ВШЭ.
В данном онлайн-курсе мы затронем три темы. Первая — решающие деревья и их композиции. Эти методы сильно отличаются от линейных, поскольку не являются дифференцируемыми и для их обучения нужны специальные подходы. В то же время композиции деревьев являются крайне мощными алгоритмами, которые широко используются при работе с табличными данными. Особенно подробно мы разберём градиентный бустинг — де-факто стандартный подход для решения сложных задач извлечения закономерностей из данных.
Вторая тема — обучение без учителя. Мы поговорим про методы кластеризации, визуализации и понижения размерности. Эти подходы позволяют находить закономерности в данных, даже если у нас нет правильных ответов.
Третья тема — рекомендательные системы. Мы обсудим, как уже известные методы можно применять для их построения, а также какая специфика в них возникает.
По итогам курса в дистанционном формате вы поймёте, как устроены все ключевые моменты в машинном обучении, освоите сложные методы, а также получите хороший практический опыт подготовки данных, их визуализации, построения и анализа моделей.
Register for this course and see more details by visiting:
OpenCourser.com/course/ft4uoe/prodvinutye
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Know what's good ,
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possible dealbreakers
Develops advanced machine learning skills, which are core for data analysis and data science
Taught by industry experts who are active in data science
Part of a series of courses that form a comprehensive machine learning curriculum
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Reviews summary
Advanced machine learning course
The "Advanced Machine Learning Course" is a course that comprehensively covers three main topics: decision trees, unsupervised learning, and recommender systems. With a 3 out of 5-star average, learners find that the course delivers strong theoretical fundamentals and engaging lectures. However, the course's practical components are criticized for having issues with unclear instructions and errors that take a long time to get resolved. Students are also disappointed by the lack of data provided for model training.
Well-structured lectures
"Лекторы отлично преподают информацию"
Slow response in fixing errors
"ошибки написавших практику. В итоге большая часть времени тратится на угадывание чего хотел автор и подбор условий поиска каких-нибудь коэффициентов."
"Все косяки исправляются наполовину и спустя 3-4 месяца. Некоторые ошибки не исправляются вообще."
Insufficient and inaccurate instructions in assignments
"Сделано отвратительно именно в плане описания действий"
"В итоге большая часть времени тратится на угадывание чего хотел автор"
Data for model training is not provided
"Еще один минус - не выложены данные, на которых обучаются модели."
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Продвинутые методы машинного обучения.
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Career center
Learners who complete Продвинутые методы машинного обучения will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. They use a variety of statistical and machine learning techniques to identify trends and patterns in data. The "Продвинутые методы машинного обучения" course from HSE University can help you develop the skills you need to succeed as a Data Scientist. This course covers topics such as решающие деревья, обучение без учителя, and рекомендательные системы. These topics are all essential for Data Scientists, and the course will provide you with a solid foundation in these areas.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for building and deploying machine learning models. They work with Data Scientists to identify the business problems that can be solved with machine learning, and then they develop and implement the models that will solve those problems. The "Продвинутые методы машинного обучения" course from HSE University can help you develop the skills you need to succeed as a Machine Learning Engineer. This course covers topics such as решающие деревья, обучение без учителя, and рекомендательные системы. These topics are all essential for Machine Learning Engineers, and the course will provide you with a solid foundation in these areas.
Data Analyst
Data Analyst
Data Analysts are responsible for analyzing data to identify trends and patterns. They use their findings to help businesses make informed decisions. The "Продвинутые методы машинного обучения" course from HSE University can help you develop the skills you need to succeed as a Data Analyst. This course covers topics such as решающие деревья, обучение без учителя, and рекомендательные системы. These topics are all essential for Data Analysts, and the course will provide you with a solid foundation in these areas.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing business processes to identify areas for improvement. They use their findings to help businesses make informed decisions. The "Продвинутые методы машинного обучения" course from HSE University can help you develop the skills you need to succeed as a Business Analyst. This course covers topics such as решающие деревья, обучение без учителя, and рекомендательные systems. These topics are all essential for Business Analysts, and the course will provide you with a solid foundation in these areas.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. The "Продвинутые методы машинного обучения" course from HSE University can help you develop the skills you need to succeed as a Software Engineer. This course covers topics such as решающие деревья, обучение без учителя, and рекомендательные systems. These topics are all essential for Software Engineers, and the course will provide you with a solid foundation in these areas.
Statistician
Statistician
Statisticians are responsible for collecting, analyzing, and interpreting data. They use their findings to help businesses make informed decisions. The "Продвинутые методы машинного обучения" course from HSE University can help you develop the skills you need to succeed as a Statistician. This course covers topics such as решающие деревья, обучение без учителя, and рекомендательные systems. These topics are all essential for Statisticians, and the course will provide you with a solid foundation in these areas.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts are responsible for using mathematical and analytical techniques to solve business problems. They work with a variety of data sources to identify inefficiencies and develop solutions to improve operations. The "Продвинутые методы машинного обучения" course from HSE University can help you develop the skills you need to succeed as an Operations Research Analyst. This course covers topics such as решающие деревья, обучение без учителя, and рекомендательные systems. These topics are all essential for Operations Research Analysts, and the course will provide you with a solid foundation in these areas.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for evaluating and recommending investments. They use their knowledge of financial markets and economic trends to make informed decisions about which investments to buy and sell. The "Продвинутые методы машинного обучения" course from HSE University can help you develop the skills you need to succeed as a Financial Analyst. This course covers topics such as решающие деревья, обучение без учителя, and рекомендательные systems. These topics are all essential for Financial Analysts, and the course will provide you with a solid foundation in these areas.
Market Researcher
Market Researcher
Market Researchers are responsible for collecting and analyzing data about consumer behavior. They use their findings to help businesses develop and market products and services that meet the needs of consumers. The "Продвинутые методы машинного обучения" course from HSE University can help you develop the skills you need to succeed as a Market Researcher. This course covers topics such as решающие деревья, обучение без учителя, and рекомендательные systems. These topics are all essential for Market Researchers, and the course will provide you with a solid foundation in these areas.
Product Manager
Product Manager
Product Managers are responsible for managing the development and launch of new products. They work with a variety of stakeholders to ensure that products meet the needs of users and are successful in the marketplace. The "Продвинутые методы машинного обучения" course from HSE University can help you develop the skills you need to succeed as a Product Manager. This course covers topics such as решающие деревья, обучение без учителя, and рекомендательные systems. These topics are all essential for Product Managers, and the course will provide you with a solid foundation in these areas.
Project Manager
Project Manager
Project Managers are responsible for planning and executing projects. They work with a variety of stakeholders to ensure that projects are completed on time, within budget, and to the required quality standards. The "Продвинутые методы машинного обучения" course from HSE University may be useful in developing the skills you need to succeed as a Project Manager.
Consultant
Consultant
Consultants are responsible for providing advice and guidance to businesses on a variety of topics. They use their knowledge and expertise to help businesses improve their operations and achieve their goals. The "Продвинутые методы машинного обучения" course from HSE University may be useful in developing the skills you need to succeed as a Consultant.
Technical Writer
Technical Writer
Technical Writers are responsible for creating documentation for software, hardware, and other technical products. They use their knowledge of technical subjects and their writing skills to create clear and concise documentation that helps users understand and use products effectively. The "Продviнутые методы машинного обучения" course from HSE University may be useful in developing the skills you need to succeed as a Technical Writer.
Teacher
Teacher
Teachers are responsible for educating students in a variety of subjects. They use their knowledge of their subject matter and their teaching skills to create lesson plans and deliver instruction that helps students learn. The "Продвинутые методы машинного обучения" course from HSE University may be useful in developing the skills you need to succeed as a Teacher.
Researcher
Researcher
Researchers are responsible for conducting research in a variety of fields. They use their knowledge and skills to design and conduct studies, analyze data, and draw conclusions. The "Продвинутые методы машинного обучения" course from HSE University may be useful in developing the skills you need to succeed as a Researcher.
For more career information including salaries, visit:
OpenCourser.com/course/ft4uoe/prodvinutye
Reading list
We've selected 14 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Продвинутые методы машинного обучения.
Save
Comprehensive reference on deep learning, covering the latest research and developments in the field. It valuable resource for anyone looking to gain a deeper understanding of deep learning.
Provides a comprehensive overview of statistical learning, with a focus on supervised and unsupervised learning methods. It valuable resource for anyone looking to gain a deeper understanding of the theoretical foundations of machine learning.
Provides a comprehensive overview of pattern recognition and machine learning, with a focus on statistical methods. It valuable resource for anyone looking to gain a deeper understanding of the theoretical foundations of machine learning.
Provides a comprehensive introduction to the nature of statistical learning, covering a wide range of topics, from the basics of statistical learning to more advanced topics such as deep learning. It valuable resource for anyone looking to gain a deeper understanding of the nature of statistical learning.
Provides a comprehensive overview of machine learning concepts, tools, and techniques, using Python libraries such as Scikit-Learn, Keras, and TensorFlow. It covers a wide range of topics, from data preprocessing to model evaluation, and valuable resource for anyone looking to gain a deeper understanding of machine learning.
Provides a probabilistic perspective on machine learning, covering topics such as Bayesian inference, graphical models, and reinforcement learning. It valuable resource for anyone looking to gain a deeper understanding of the theoretical foundations of machine learning.
Provides a comprehensive introduction to information theory, inference, and learning algorithms, covering a wide range of topics, from the basics of information theory to more advanced topics such as Bayesian inference. It valuable resource for anyone looking to gain a deeper understanding of information theory, inference, and learning algorithms.
Provides a practical introduction to machine learning, using Python. It covers a wide range of topics, from data preprocessing to model evaluation, and valuable resource for anyone looking to get started with machine learning.
Provides a comprehensive introduction to machine learning, covering a wide range of topics, from data preprocessing to model evaluation. It valuable resource for anyone looking to gain a deeper understanding of machine learning.
Provides a comprehensive introduction to reinforcement learning, covering a wide range of topics, from the basics of reinforcement learning to more advanced topics such as deep reinforcement learning. It valuable resource for anyone looking to gain a deeper understanding of reinforcement learning.
Provides a concise introduction to machine learning algorithms, covering a wide range of topics, from supervised and unsupervised learning to reinforcement learning. It valuable resource for anyone looking to gain a deeper understanding of the theoretical foundations of machine learning.
Provides a comprehensive introduction to convex optimization, covering a wide range of topics, from the basics of convex optimization to more advanced topics such as semidefinite programming. It valuable resource for anyone looking to gain a deeper understanding of convex optimization.
Provides a comprehensive introduction to statistical inference, covering a wide range of topics, from the basics of statistical inference to more advanced topics such as Bayesian inference. It valuable resource for anyone looking to gain a deeper understanding of statistical inference.
Provides a practical overview of machine learning and data mining, with a focus on real-world applications. It covers a wide range of topics, from data preprocessing to model evaluation, and valuable resource for anyone looking to gain a deeper understanding of machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ft4uoe/prodvinutye
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Time
7 hours
Via
Coursera
Institution
HSE University
Instructors
Анастасия Рысьмятова
Артем Филатов
Евгений Ковалев
Evgeny Sokolov
Вадим Кохтев
Зимовнов Андрей Вадимович
Good to know
Develops advanced machine learning skills, which are core for data analysis and data science
Taught by industry experts who are active in data science
Part of a series of courses that form a comprehensive machine learning curriculum
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