Продвинутые методы машинного обучения from Coursera

"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.

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, what to watch for

, and 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

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."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Продвинутые методы машинного обучения with these activities:

Read Think Stats

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Provides a strong foundation in Python and statistics as used in machine learning

View Probably Overthinking It on Amazon

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Read the book chapters 1-10
Do the exercises from chapters 1-10

Follow the scikit-learn tutorials

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Provides a structured way to learn the basics of machine learning using scikit-learn

Browse courses on Machine Learning

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Visit the scikit-learn website and browse the tutorials
Choose a tutorial that is relevant to your interests
Follow the steps in the tutorial and complete the exercises

Attend a machine learning meetup

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Provides an opportunity to connect with other people who are interested in machine learning and exchange ideas

Browse courses on Machine Learning

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Find a machine learning meetup in your area
Attend the meetup and introduce yourself to other people

Six other activities

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Solve the practice problems from Kaggle Competitions

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Provides hands-on experience solving real-world machine learning problems and using Kaggle as a platform

Browse courses on Machine Learning

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Choose a Kaggle competition that is relevant to your interests
Read the competition description and data dictionary
Download the data and explore it
Develop a machine learning model to solve the competition problem
Submit your model to the competition and track your progress

Form a study group with other students in the course

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Provides an opportunity to learn from and collaborate with other students

Browse courses on Machine Learning

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Find other students in your course who are interested in forming a study group
Meet regularly to discuss the course material

Participate in a machine learning hackathon

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Provides an opportunity to work on a machine learning project with other people and compete for prizes

Browse courses on Machine Learning

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Find a machine learning hackathon that is relevant to your interests
Form a team and register for the hackathon
Work on your project during the hackathon
Submit your project to the hackathon judges

Develop a machine learning model for a personal project

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Provides an opportunity to apply your machine learning skills to a project that is meaningful to you and deepen your understanding of the material

Browse courses on Machine Learning

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Identify a problem that you would like to solve using machine learning
Gather data to train your model
Choose a machine learning algorithm and train your model
Evaluate the performance of your model and make adjustments as needed
Deploy your model and use it to solve the problem you identified

Create a compilation of machine learning resources

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Provides a valuable resource for your own learning and can be shared with other students

Browse courses on Machine Learning

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Gather resources from a variety of sources, such as books, articles, websites, and videos
Organize the resources into a structured format, such as a website, blog, or wiki

Mentor a junior student in machine learning

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Provides an opportunity to reinforce your own learning by teaching it to others

Browse courses on Machine Learning

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Find a junior student who is interested in learning about machine learning
Meet regularly with the student to discuss machine learning concepts
Help the student with their machine learning projects

Career center

Learners who complete Продвинутые методы машинного обучения will develop knowledge and skills that may be useful to these careers:

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data 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.

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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.

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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.

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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.

See salaries and explore the career path for Operations Research 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.

See salaries and explore the career path for Financial Analyst

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.

See salaries and explore the career path for Market Researcher

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.

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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.

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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.

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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.

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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.

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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.

See salaries and explore the career path for Researcher