Машинное обучение для руководителей from Coursera

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

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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

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.

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

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Strengthen your mathematical foundation to better understand the theoretical concepts behind machine learning algorithms

Browse courses on Linear Algebra

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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

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Enhance your learning experience by compiling a comprehensive collection of machine learning resources for future reference

Browse courses on Machine Learning Tools

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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

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Sharpen your algebra skills to strengthen your foundation for machine learning algorithms.

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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

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Review Introduction to Machine Learning, 4th Edition by Ethem Alpaydin

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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

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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

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Expand your knowledge of machine learning techniques by exploring supervised and unsupervised learning.

Browse courses on Machine Learning Algorithms

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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

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Engage with peers to discuss machine learning concepts, share knowledge, and learn from different perspectives

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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

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Solidify your understanding of machine learning algorithms by implementing them in a programming language

Browse courses on Machine Learning Algorithms

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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

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Solidify your understanding of machine learning by building a practical model.

Browse courses on Machine Learning Projects

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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

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Enhance your problem-solving skills and reinforce machine learning concepts through LeetCode practice

Browse courses on Machine Learning Algorithms

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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

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.

See salaries and explore the career path for Technology Architect

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for Data 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.

See salaries and explore the career path for Artificial Intelligence Engineer

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.

See salaries and explore the career path for Chief Technology Officer

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.

See salaries and explore the career path for Information Technology Manager

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.

See salaries and explore the career path for Management Consultant

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.

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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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Chief Data Officer

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Statistician