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Данил Лесоводский
and
Сергей Лукашкин
Данные — золото цифрового мира. Невозможно управлять современной цифровой компанией без знаний основ машинного обучения. Если вы создаете новые продукты и сервисы, ищете профессионалов в команду, выбираете подрядчиков и контролируете ход цифровых проектов — вам необходимо знать об умных алгоритмах и искусственном интеллекте.
Курс по машинному обучению для руководителей — это выжимка знаний и практического опыта. Вы узнаете: когда следует применять машинное обучение, какие виды машинного обучения бывают, как организовать проект, о каких нюансах принятия решения при внедрении искусственного интеллекта в практическую...
Read more
Данные — золото цифрового мира. Невозможно управлять современной цифровой компанией без знаний основ машинного обучения. Если вы создаете новые продукты и сервисы, ищете профессионалов в команду, выбираете подрядчиков и контролируете ход цифровых проектов — вам необходимо знать об умных алгоритмах и искусственном интеллекте.
Курс по машинному обучению для руководителей — это выжимка знаний и практического опыта. Вы узнаете: когда следует применять машинное обучение, какие виды машинного обучения бывают, как организовать проект, о каких нюансах принятия решения при внедрении искусственного интеллекта в практическую...
Read more
Данные — золото цифрового мира. Невозможно управлять современной цифровой компанией без знаний основ машинного обучения. Если вы создаете новые продукты и сервисы, ищете профессионалов в команду, выбираете подрядчиков и контролируете ход цифровых проектов — вам необходимо знать об умных алгоритмах и искусственном интеллекте.
Курс по машинному обучению для руководителей — это выжимка знаний и практического опыта. Вы узнаете: когда следует применять машинное обучение, какие виды машинного обучения бывают, как организовать проект, о каких нюансах принятия решения при внедрении искусственного интеллекта в практическую деятельность важно помнить.
В результате обучения вы:
• Научитесь управлять проектами с применениям машинного обучения и искусственного интеллекта
• Узнаете о методологии Cross-Industry Standard Process for Data Mining — межотраслевого стандартного процесса для исследования данных
• Научитесь строить и проверять гипотезы
Register for this course and see more details by visiting:
OpenCourser.com/course/goxedf/mashinnoe
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Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches concepts and practices that can drive innovation in digital companies
Suitable for those seeking to create, manage, and implement AI and machine learning projects
Lays the groundwork for understanding the role of machine learning in business
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Reviews summary
Introductory ml for leaders
This introductory course on Machine Learning for Leaders emphasizes understanding business problems to apply Machine Learning. The course is concise, and has a curated collection of extra materials.
Some find length to be a positive attribute.
"Сначала хотел поставить три звезды за растянутость курса. Мне кажется, следовало бы плотнее упаковать информацию."
"Но потом увидел хорошую подборку дополнительных материалов и решил поставить 4."
Has good extra materials.
"Но потом увидел хорошую подборку дополнительных материалов"
Appropriate for beginners.
"Курс начального уровня."
Focuses on business applications.
"Интересный ... с точки зрения понимания и постановки бизнес-задач в ML"
Some find length to be a negative attribute.
"Сначала хотел поставить три звезды за растянутость курса. Мне кажется, следовало бы плотнее упаковать информацию."
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 для руководителей with these
activities:
Review Linear Algebra and Calculus
Show steps
Strengthen your mathematical foundation to better understand the theoretical concepts behind machine learning algorithms
Browse courses on
Linear Algebra
Show steps
-
Review key concepts in linear algebra such as vectors, matrices, and eigenvalues
-
Refamiliarize yourself with fundamental calculus concepts like derivatives and integrals
-
Practice solving problems that combine linear algebra and calculus
Create a Machine Learning Resources Compilation
Show steps
Enhance your learning experience by compiling a comprehensive collection of machine learning resources for future reference
Browse courses on
Machine Learning Tools
Show steps
-
Identify and gather valuable machine learning resources such as books, articles, tutorials, and datasets
-
Organize the resources into a structured and accessible format
-
Document the purpose and relevance of each resource
Review basics of algebra
Show steps
Sharpen your algebra skills to strengthen your foundation for machine learning algorithms.
Show steps
-
Go over notes or textbooks to refresh your understanding of linear equations, matrices, and derivatives.
-
Solve practice problems to test your comprehension.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Review Introduction to Machine Learning, 4th Edition by Ethem Alpaydin
Show steps
Introduce yourself to fundamental machine learning algorithms and techniques to enhance your understanding of the course concepts
View
Machine Learning, revised and updated edition
on Amazon
Show steps
-
Read the book in its entirety, focusing on core concepts of machine learning
-
Take notes and highlight important sections for future reference
-
Complete the exercises and practice problems to reinforce your learning
Learn about supervised and unsupervised learning
Show steps
Expand your knowledge of machine learning techniques by exploring supervised and unsupervised learning.
Browse courses on
Machine Learning Algorithms
Show steps
-
Find online tutorials or courses that cover the fundamentals of supervised and unsupervised learning.
-
Follow along with the tutorials, paying attention to the concepts and examples.
-
Test your understanding by completing practice exercises or quizzes.
Participate in Study Groups on Machine Learning
Show steps
Engage with peers to discuss machine learning concepts, share knowledge, and learn from different perspectives
Show steps
-
Join or form a study group focused on machine learning
-
Participate actively in discussions and share your insights
-
Collaborate on projects or assignments related to machine learning
Practice Implementing Machine Learning Algorithms
Show steps
Solidify your understanding of machine learning algorithms by implementing them in a programming language
Browse courses on
Machine Learning Algorithms
Show steps
-
Choose a machine learning algorithm to implement
-
Gather the necessary data for training and testing
-
Implement the algorithm in a programming language of your choice
-
Test the performance of your implementation and make adjustments as needed
Build a simple machine learning model
Show steps
Solidify your understanding of machine learning by building a practical model.
Browse courses on
Machine Learning Projects
Show steps
-
Choose a dataset and define the problem you want to solve.
-
Select an appropriate machine learning algorithm and train the model.
-
Evaluate the performance of your model and make adjustments as needed.
Solve LeetCode Problems on Machine Learning
Show steps
Enhance your problem-solving skills and reinforce machine learning concepts through LeetCode practice
Browse courses on
Machine Learning Algorithms
Show steps
-
Select LeetCode problems related to machine learning concepts
-
Analyze the problem statement and design an efficient solution
-
Implement your solution in a programming language of your choice
-
Test your solution against the provided test cases
Review Linear Algebra and Calculus
Show steps
Strengthen your mathematical foundation to better understand the theoretical concepts behind machine learning algorithms
Browse courses on
Linear Algebra
Show steps
Show steps
Show steps
- Review key concepts in linear algebra such as vectors, matrices, and eigenvalues
- Refamiliarize yourself with fundamental calculus concepts like derivatives and integrals
- Practice solving problems that combine linear algebra and calculus
Create a Machine Learning Resources Compilation
Show steps
Enhance your learning experience by compiling a comprehensive collection of machine learning resources for future reference
Browse courses on
Machine Learning Tools
Show steps
Show steps
Show steps
- Identify and gather valuable machine learning resources such as books, articles, tutorials, and datasets
- Organize the resources into a structured and accessible format
- Document the purpose and relevance of each resource
Review basics of algebra
Show steps
Sharpen your algebra skills to strengthen your foundation for machine learning algorithms.
Show steps
Show steps
Show steps
- Go over notes or textbooks to refresh your understanding of linear equations, matrices, and derivatives.
- Solve practice problems to test your comprehension.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Review Introduction to Machine Learning, 4th Edition by Ethem Alpaydin
Show steps
Introduce yourself to fundamental machine learning algorithms and techniques to enhance your understanding of the course concepts
View
Machine Learning, revised and updated edition
on Amazon
Show steps
Show steps
Show steps
- Read the book in its entirety, focusing on core concepts of machine learning
- Take notes and highlight important sections for future reference
- Complete the exercises and practice problems to reinforce your learning
Learn about supervised and unsupervised learning
Show steps
Expand your knowledge of machine learning techniques by exploring supervised and unsupervised learning.
Browse courses on
Machine Learning Algorithms
Show steps
Show steps
Show steps
- Find online tutorials or courses that cover the fundamentals of supervised and unsupervised learning.
- Follow along with the tutorials, paying attention to the concepts and examples.
- Test your understanding by completing practice exercises or quizzes.
Participate in Study Groups on Machine Learning
Show steps
Engage with peers to discuss machine learning concepts, share knowledge, and learn from different perspectives
Show steps
Show steps
Show steps
- Join or form a study group focused on machine learning
- Participate actively in discussions and share your insights
- Collaborate on projects or assignments related to machine learning
Practice Implementing Machine Learning Algorithms
Show steps
Solidify your understanding of machine learning algorithms by implementing them in a programming language
Browse courses on
Machine Learning Algorithms
Show steps
Show steps
Show steps
- Choose a machine learning algorithm to implement
- Gather the necessary data for training and testing
- Implement the algorithm in a programming language of your choice
- Test the performance of your implementation and make adjustments as needed
Build a simple machine learning model
Show steps
Solidify your understanding of machine learning by building a practical model.
Browse courses on
Machine Learning Projects
Show steps
Show steps
Show steps
- Choose a dataset and define the problem you want to solve.
- Select an appropriate machine learning algorithm and train the model.
- Evaluate the performance of your model and make adjustments as needed.
Solve LeetCode Problems on Machine Learning
Show steps
Enhance your problem-solving skills and reinforce machine learning concepts through LeetCode practice
Browse courses on
Machine Learning Algorithms
Show steps
Show steps
Show steps
- Select LeetCode problems related to machine learning concepts
- Analyze the problem statement and design an efficient solution
- Implement your solution in a programming language of your choice
- Test your solution against the provided test cases
Career center
Learners who complete Машинное обучение для руководителей will develop knowledge and skills
that may be useful to these careers:
Technology Architect
Technology Architect
Understanding the concepts of artificial intelligence and machine learning is critical to the success of a Technology Architect. By taking Machine Learning for Executives, you'll gain theoretical and practical knowledge that will help you lead your organization's technological endeavors. With this course under your belt, you'll be equipped to design and develop cutting-edge AI solutions.
Data Scientist
Data Scientist
Data Scientists who successfully manage and implement artificial intelligence projects are in high demand. Machine Learning for Executives will give you a strong foundation for leading these initiatives, including identifying when to employ machine learning, evaluating its different types, and implementing it successfully.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers have a firm grasp of machine learning algorithms and are adept at putting them into practice. This course will enhance your expertise in selecting the appropriate algorithms for your projects. You'll gain the skills needed to build a strong foundation in ML models and guide your team to success.
Data Analyst
Data Analyst
Understanding machine learning is a major responsibility for Data Analysts. This course will strengthen your ability to build and test hypotheses by utilizing the machine learning algorithms taught. Upon completion, you'll be able to direct projects with AI and ML applications, oversee skilled teams, and guarantee that the insights you collect are correctly informing your C-level executives.
Product Manager
Product Manager
Machine learning is fast becoming an essential skill for Product Managers. This course will provide you with a comprehensive understanding of machine learning and its applications, allowing you to work collaboratively with data engineers and scientists. With a deep grounding in artificial intelligence, you'll be able to stay ahead of the competition and build innovative products that meet your customers' needs.
Data Engineer
Data Engineer
For Data Engineers, a firm grasp of machine learning is a must. This course will equip you with the knowledge and skills you need to design and implement machine learning solutions. You'll gain hands-on experience with machine learning algorithms, data preprocessing, and model evaluation. Upon completion, you'll be able to confidently lead machine learning projects and make informed decisions about the use of AI in your organization.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Become an in-demand Artificial Intelligence Engineer by enrolling in Machine Learning for Executives. This course will provide you with the knowledge and skills you need to design, develop, and implement AI solutions. You'll gain a deep understanding of machine learning algorithms, natural language processing, and computer vision. With this course under your belt, you'll be well-positioned for a successful career in AI.
Chief Technology Officer
Chief Technology Officer
In today's digital landscape, understanding machine learning is essential for Chief Technology Officers. This course will provide you with a solid foundation in machine learning, enabling you to lead the implementation of AI and ML within your organization. By gaining a comprehensive understanding of the concepts and applications of machine learning, you'll be empowered to drive innovation and stay competitive in the ever-evolving tech industry.
Information Technology Manager
Information Technology Manager
Information Technology Managers who are well-versed in machine learning stand out in the job market. By enrolling in Machine Learning for Executives, you'll gain a thorough understanding of machine learning algorithms and their practical applications. You'll also learn how to evaluate and select the right algorithms for your organization's needs. With this knowledge, you'll be able to make informed decisions about the use of AI, empowering you to drive innovation and streamline operations.
Management Consultant
Management Consultant
Deepen your expertise in machine learning as a Management Consultant. This course will provide you with a solid foundation in machine learning algorithms and their business applications. You'll learn how to use machine learning to solve real-world problems and identify opportunities for innovation. With this course under your belt, you'll be able to provide valuable insights to your clients and help them stay ahead of the competition.
Computer Scientist
Computer Scientist
Computer Scientists who have a strong foundation in machine learning are highly sought after. This course will augment your expertise by providing you with a comprehensive understanding of machine learning algorithms and their implementation. By learning how to apply machine learning to real-world problems, you'll expand your skill set and become an even more valuable asset to your organization.
Software Engineer
Software Engineer
The ability to employ AI or machine learning in software development puts Software Engineers in high demand. This course can help you advance your career by deepening your knowledge of machine learning and its practical applications. You'll learn how to leverage AI to create innovative software solutions that meet the demands of the modern market.
Chief Data Officer
Chief Data Officer
Machine Learning for Executives is a valuable course for Chief Data Officers who want to stay ahead of the curve. This course will deepen your understanding of machine learning algorithms, data preprocessing, and model evaluation. You'll gain the knowledge and skills needed to make informed decisions about the use of AI in your organization. Upon completion, you'll be able to effectively lead your team in implementing machine learning solutions that drive value and innovation.
Business Analyst
Business Analyst
Understanding machine learning is increasingly important for Business Analysts. This course will enhance your ability to leverage machine learning to solve complex business problems. You'll learn how to identify opportunities for machine learning applications, select the right algorithms, and interpret the results. With this course under your belt, you'll be able to deliver actionable insights and recommendations to your stakeholders, enabling them to make data-driven decisions.
Statistician
Statistician
Statisticians who have a background in machine learning are in high demand. By enrolling in Machine Learning for Executives, you'll gain a solid foundation in machine learning algorithms and their applications in the field of statistics. You'll learn how to use machine learning to analyze data, build predictive models, and uncover hidden patterns. With this knowledge, you'll be able to enhance your statistical expertise and take your career to the next level.
For more career information including salaries, visit:
OpenCourser.com/course/goxedf/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 для руководителей.
Presents machine learning from a probabilistic perspective, providing a solid theoretical foundation for understanding the principles and algorithms used in the field.
Provides a comprehensive and technical treatment of statistical learning methods, including machine learning algorithms, making it a valuable reference for those seeking a deep understanding.
Offers a hands-on approach to machine learning, covering practical techniques and applications using Python, making it a valuable resource for those seeking to implement machine learning projects.
Provides practical guidance on implementing machine learning algorithms using popular libraries like Scikit-Learn, Keras, and TensorFlow, offering hands-on experience for those interested in applying these tools.
Provides a high-level overview of artificial intelligence, including machine learning, for business leaders, focusing on its implications and applications in various industries.
Offers a practical and accessible introduction to machine learning, covering essential concepts and algorithms in a clear and engaging manner.
Provides a comprehensive overview of machine learning concepts, techniques, and applications in a clear and concise manner, making it a valuable resource for beginners.
Save
While not specifically tailored for managers, this book provides a comprehensive and authoritative reference on deep learning, offering valuable insights for those interested in understanding the underlying principles and techniques.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/goxedf/mashinnoe
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Time
32 hours
Via
Coursera
Institution
E-Learning Development Fund
Instructors
Данил Лесоводский
Сергей Лукашкин
Good to know
Teaches concepts and practices that can drive innovation in digital companies
Suitable for those seeking to create, manage, and implement AI and machine learning projects
Lays the groundwork for understanding the role of machine learning in business
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