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Артур Фаттахов
Машинное обучение - один из наиболее продвинутых методов анализа данных, применимый во различных индустриях и на разных рынках.
В этом курсе вы узнаете, как с помощью машинного обучения анализировать рынки, формировать инвестиционный портфель и оценивать его риски.
Курс ориентирован на практику и позволит слушателям сразу приступить к сбору данных, построению моделей и анализу индексов и компаний
Register for this course and see more details by visiting:
OpenCourser.com/course/5sd570/mashinnoe
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Designed for those applying machine learning to finances
Ideal for beginners seeking practical skills in machine learning for finance
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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 Машинное обучение в инвестициях with these
activities:
Refresh knowledge of data science fundamentals
Show steps
Build a stronger foundation of data science fundamentals before the course begins.
Browse courses on
Data Science Fundamentals
Show steps
-
Review key concepts like data types, data structures, and algorithms.
-
Complete practice problems and exercises.
Compile a list of resources on machine learning in finance
Show steps
Creating a compilation will expand your knowledge and help you stay updated with the latest resources in the field.
Browse courses on
Resources
Show steps
-
Search for resources on machine learning in finance
-
Organize the resources into a list or database
Complete the 'Introduction to Machine Learning for Finance' tutorial on Coursera
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This tutorial will provide a solid foundation in machine learning concepts and their application in finance.
Browse courses on
Machine Learning Basics
Show steps
-
Enroll in the tutorial on Coursera
-
Complete all the modules and assignments
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Read 'Machine Learning for Asset Managers' by Marcos Lopez de Prado
Show steps
This book provides valuable insights into the application of machine learning in asset management and will supplement the course material effectively.
View
Asset Management: Tools and Issues
on Amazon
Show steps
-
Read the book thoroughly, taking notes as you go
-
Summarize the key concepts in your own words
Follow a tutorial on building a machine learning portfolio
Show steps
Develop practical skills by following a structured tutorial.
Browse courses on
Data Science
Show steps
-
Find a comprehensive tutorial.
-
Follow the steps and complete the exercises.
Solve machine learning exercises
Show steps
Strengthen your understanding of machine learning concepts and algorithms by solving practice problems.
Browse courses on
Machine Learning Algorithms
Show steps
-
Identify the type of machine learning problem
-
Choose appropriate algorithms
-
Implement and train the algorithms
-
Evaluate the results
Join a study group to discuss course concepts and work on projects together
Show steps
Engaging in peer discussions will enhance your understanding of the course material and provide opportunities to learn from others.
Show steps
-
Find a study group or create your own
-
Meet regularly to discuss course topics and work on projects
Solve data analysis and machine learning problems
Show steps
Reinforce your understanding of data analysis and machine learning concepts by solving real-world problems.
Browse courses on
Data Analysis
Show steps
-
Identify a dataset and define a problem statement.
-
Explore and analyze the data.
-
Build and evaluate a machine learning model.
Build a stock portfolio
Show steps
Apply the principles of machine learning to design a stock portfolio and backtest its performance.
Show steps
-
Gather data on stocks
-
Clean and preprocess the data
-
Build a machine learning model
-
Test and evaluate the model
-
Optimize the model
Practice creating investment portfolios
Show steps
Practice creating investment portfolios to solidify your understanding of how to allocate assets and manage risk.
Browse courses on
Investment Portfolio
Show steps
-
Gather data on different investment options
-
Analyze the risk and return of each option
-
Create a diversified portfolio that meets your investment goals
Write a blog post about machine learning in finance
Show steps
Writing a blog post about machine learning in finance will help you synthesize your knowledge and develop your communication skills.
Browse courses on
Machine Learning Applications
Show steps
-
Choose a specific topic related to machine learning in finance
-
Research the topic thoroughly
-
Write a clear and concise blog post
Write a blog post summarizing machine learning concepts
Show steps
Solidify your understanding by explaining machine learning concepts to others.
Browse courses on
Machine Learning
Show steps
-
Choose a specific machine learning topic.
-
Research and gather information.
-
Write a clear and concise blog post.
Attend a workshop on machine learning in finance
Show steps
Attending a workshop will provide you with the opportunity to learn from experts in the field and network with other professionals.
Show steps
-
Research and find a workshop that aligns with your interests
-
Register for the workshop
Volunteer to mentor other students in the course
Show steps
Mentoring others will reinforce your understanding of the course material and develop your leadership skills.
Show steps
-
Sign up to be a mentor through the course platform
-
Meet with your mentees regularly to provide support and guidance
Refresh knowledge of data science fundamentals
Show steps
Build a stronger foundation of data science fundamentals before the course begins.
Browse courses on
Data Science Fundamentals
Show steps
Show steps
Show steps
- Review key concepts like data types, data structures, and algorithms.
- Complete practice problems and exercises.
Compile a list of resources on machine learning in finance
Show steps
Creating a compilation will expand your knowledge and help you stay updated with the latest resources in the field.
Browse courses on
Resources
Show steps
Show steps
Show steps
- Search for resources on machine learning in finance
- Organize the resources into a list or database
Complete the 'Introduction to Machine Learning for Finance' tutorial on Coursera
Show steps
This tutorial will provide a solid foundation in machine learning concepts and their application in finance.
Browse courses on
Machine Learning Basics
Show steps
Show steps
Show steps
- Enroll in the tutorial on Coursera
- Complete all the modules and assignments
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Read 'Machine Learning for Asset Managers' by Marcos Lopez de Prado
Show steps
This book provides valuable insights into the application of machine learning in asset management and will supplement the course material effectively.
View
Asset Management: Tools and Issues
on Amazon
Show steps
Show steps
Show steps
- Read the book thoroughly, taking notes as you go
- Summarize the key concepts in your own words
Follow a tutorial on building a machine learning portfolio
Show steps
Develop practical skills by following a structured tutorial.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Find a comprehensive tutorial.
- Follow the steps and complete the exercises.
Solve machine learning exercises
Show steps
Strengthen your understanding of machine learning concepts and algorithms by solving practice problems.
Browse courses on
Machine Learning Algorithms
Show steps
Show steps
Show steps
- Identify the type of machine learning problem
- Choose appropriate algorithms
- Implement and train the algorithms
- Evaluate the results
Join a study group to discuss course concepts and work on projects together
Show steps
Engaging in peer discussions will enhance your understanding of the course material and provide opportunities to learn from others.
Show steps
Show steps
Show steps
- Find a study group or create your own
- Meet regularly to discuss course topics and work on projects
Solve data analysis and machine learning problems
Show steps
Reinforce your understanding of data analysis and machine learning concepts by solving real-world problems.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify a dataset and define a problem statement.
- Explore and analyze the data.
- Build and evaluate a machine learning model.
Build a stock portfolio
Show steps
Apply the principles of machine learning to design a stock portfolio and backtest its performance.
Show steps
Show steps
Show steps
- Gather data on stocks
- Clean and preprocess the data
- Build a machine learning model
- Test and evaluate the model
- Optimize the model
Practice creating investment portfolios
Show steps
Practice creating investment portfolios to solidify your understanding of how to allocate assets and manage risk.
Browse courses on
Investment Portfolio
Show steps
Show steps
Show steps
- Gather data on different investment options
- Analyze the risk and return of each option
- Create a diversified portfolio that meets your investment goals
Write a blog post about machine learning in finance
Show steps
Writing a blog post about machine learning in finance will help you synthesize your knowledge and develop your communication skills.
Browse courses on
Machine Learning Applications
Show steps
Show steps
Show steps
- Choose a specific topic related to machine learning in finance
- Research the topic thoroughly
- Write a clear and concise blog post
Write a blog post summarizing machine learning concepts
Show steps
Solidify your understanding by explaining machine learning concepts to others.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Choose a specific machine learning topic.
- Research and gather information.
- Write a clear and concise blog post.
Attend a workshop on machine learning in finance
Show steps
Attending a workshop will provide you with the opportunity to learn from experts in the field and network with other professionals.
Show steps
Show steps
Show steps
- Research and find a workshop that aligns with your interests
- Register for the workshop
Volunteer to mentor other students in the course
Show steps
Mentoring others will reinforce your understanding of the course material and develop your leadership skills.
Show steps
Show steps
Show steps
- Sign up to be a mentor through the course platform
- Meet with your mentees regularly to provide support and guidance
Career center
Learners who complete Машинное обучение в инвестициях will develop knowledge and skills
that may be useful to these careers:
Private Equity Investor
Private Equity Investor
Private Equity Investors invest in private companies and help them grow and succeed. This course in Machine Learning in Investments may be useful in building a foundation for this role, as it teaches learners how to analyze markets, form investment portfolios, and assess risks using machine learning techniques.
Financial Analyst
Financial Analyst
Financial Analysts evaluate the financial performance of companies and make recommendations on investment decisions. This course in Machine Learning in Investments may be useful in building a foundation for this role, as it teaches learners how to use machine learning to analyze financial data and make investment decisions.
Investment Banker
Investment Banker
Investment Bankers help companies raise capital and advise on mergers and acquisitions. This course in Machine Learning in Investments may be useful in building a foundation for this role, as it teaches learners how to analyze markets, form investment portfolios, and assess risks using machine learning techniques.
Portfolio Manager
Portfolio Manager
Portfolio Managers manage investment portfolios for individuals and institutions. This course in Machine Learning in Investments may be useful in building a foundation for this role, as it teaches learners how to analyze markets, form investment portfolios, and assess risks using machine learning techniques.
Risk Manager
Risk Manager
Risk Managers assess and manage financial risks for companies and organizations. This course in Machine Learning in Investments may be useful in building a foundation for this role, as it teaches learners how to analyze markets, form investment portfolios, and assess risks using machine learning techniques.
Venture Capitalist
Venture Capitalist
Venture Capitalists invest in early-stage companies with high growth potential. This course in Machine Learning in Investments may be useful in building a foundation for this role, as it teaches learners how to analyze markets, form investment portfolios, and assess risks using machine learning techniques.
Hedge Fund Manager
Hedge Fund Manager
Hedge Fund Managers manage investment funds that use complex strategies to generate high returns. This course in Machine Learning in Investments may be useful in building a foundation for this role, as it teaches learners how to analyze markets, form investment portfolios, and assess risks using machine learning techniques.
Data Scientist
Data Scientist
Data Scientists gather and analyze large datasets to extract meaningful insights. This course in Machine Learning in Investments may be helpful in building a foundation for this role, as it teaches learners how to use machine learning to analyze data and make predictions.
Financial Planner
Financial Planner
Financial Planners help individuals and families manage their finances and plan for their financial future. This course in Machine Learning in Investments may be useful in building a foundation for this role, as it teaches learners how to analyze markets, form investment portfolios, and assess risks using machine learning techniques.
Actuary
Actuary
Actuaries use mathematical and statistical models to assess financial risks and make recommendations on insurance and pension plans. This course in Machine Learning in Investments may be useful in building a foundation for this role, as it teaches learners how to use machine learning to analyze data and make predictions.
Financial Consultant
Financial Consultant
Financial Consultants provide financial advice to individuals and businesses. This course in Machine Learning in Investments may be useful in building a foundation for this role, as it teaches learners how to analyze markets, form investment portfolios, and assess risks using machine learning techniques.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to evaluate financial risk and predict market trends. This course in Machine Learning in Investments may be useful in building a foundation for this role, as it teaches learners how to analyze markets, form investment portfolios, and assess risks using machine learning techniques.
Management Consultant
Management Consultant
Management Consultants help organizations improve their performance by providing advice on strategy, operations, and technology. This course in Machine Learning in Investments may be useful in building a foundation for this role, as it teaches learners how to use machine learning to analyze data and make recommendations.
Business Analyst
Business Analyst
Business Analysts analyze business processes and identify areas for improvement. This course in Machine Learning in Investments may be useful in building a foundation for this role, as it teaches learners how to use machine learning to analyze data and make recommendations.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course in Machine Learning in Investments may be useful in building a foundation for this role, as it teaches learners how to use machine learning to analyze data and make predictions.
For more career information including salaries, visit:
OpenCourser.com/course/5sd570/mashinnoe
Reading list
We've selected eight 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
Машинное обучение в инвестициях.
Covers the relevant theory of machine learning in a very accessible way and provides numerous examples. Due to the similar focus on finance and machine learning, this book is an excellent choice for supplementing this course.
Extends the concepts in *Machine Learning for Asset Managers* and covers more advanced techniques for portfolio management. Although more advanced than this course, it valuable reference for exploring advanced topics.
Provides a broad overview of the financial industry's adoption of AI. can be helpful for context and to see how machine learning fits into a wider AI ecosystem.
Introduces practical aspects of deep learning implementation. It can be a valuable reference for those who want to build models in Python.
Provides a detailed guide to implementing machine learning techniques for algorithmic trading. It includes code examples and practical advice.
Provides an introduction to Python for finance professionals. It can be a valuable resource for those who want to learn how to use Python for data analysis and machine learning.
Provides a comprehensive overview of data science for finance. It valuable resource for those who want to learn how to use data science to solve financial problems.
Provides a roadmap to financial data science. It valuable resource for those who want to learn how to use machine learning to solve financial problems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/5sd570/mashinnoe
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Time
20 hours
Via
Coursera
Institution
Moscow Institute of Physics and Technology
Instructor
Артур Фаттахов
This course belongs to a
collection
called
Искусственный интеллект в инвестициях. It's comprised of four courses:
- Технический анализ фондовых рынков
- Введение в инвестиции
- Машинное обучение в инвестициях (viewing)
- Машинное обучение в инвестициях: итоговый проект
Good to know
Designed for those applying machine learning to finances
Ideal for beginners seeking practical skills in machine learning for finance
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