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Measuring Impact and Updating Models
Kirsten Gokay,
Meeta Dash,
Alyssa Simpson-Rochwerger,
Andrea Butkovic,
and
Kiran Vajapey
Kirsten Gokay,
Meeta Dash,
Alyssa Simpson-Rochwerger,
Andrea Butkovic,
and
Kiran Vajapey
As a product manager, you should be constantly looking to improve your machine learning models and product; learn strategies to mitigate bias, scale a product, and continuously update a model.
Register for this course and see more details by visiting:
OpenCourser.com/course/d2h45v/measuring
What's inside
Syllabus
Introduction to the Measuring Impact and Updating Models course.
Learn best practices for measuring model success, strategies for mitigating unwanted bias in a model, and scaling an AI product so that it's available to a large audience.
Read more
Syllabus
Introduction to the Measuring Impact and Updating Models course.
Learn best practices for measuring model success, strategies for mitigating unwanted bias in a model, and scaling an AI product so that it's available to a large audience.
Read more
Review an end-to-end, AI product development cycle from solution ideation to prototyping and testing and finally, product launch (and continuous improvement) for a video annotation product.
Complete a proposal for a complete AI product of your own design; consider users, data source, design practices, and iteration over time.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops strategies to mitigate bias, which is a common challenge in AI development
Examines the end-to-end AI product development cycle, from ideation to launch
Provides real-world examples of AI product development, making the learning experience more practical
Taught by experienced instructors with expertise in product management and AI
Requires foundational knowledge in product management and AI, making it suitable for intermediate learners
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Activities
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Measuring Impact and Updating Models.
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Career center
Learners who complete Measuring Impact and Updating Models will develop knowledge and skills
that may be useful to these careers:
Product Manager
Product Manager
As a Product Manager, you will be responsible for the development and launch of new products or features. This course may be useful for you because it will teach you about measuring model success, mitigating unwanted bias in a model, and scaling an AI product. These are all skills that are essential for a Product Manager to have in order to be successful at launching new products or features.
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will design, build, and maintain machine learning models. This course may be useful for you because it will teach you about measuring model success, mitigating unwanted bias in a model, and scaling an AI product. These are all skills that are essential for a Machine Learning Engineer to have in order to be successful.
Data Scientist
Data Scientist
As a Data Scientist, you will use data to solve business problems. This course may be useful for you because it will teach you about measuring model success, mitigating unwanted bias in a model, and scaling an AI product. These are all skills that are essential for a Data Scientist to have in order to be successful at using data to solve business problems.
Data Analyst
Data Analyst
As a Data Analyst, you will use data to identify trends and patterns. This course may be useful for you because it will teach you about measuring model success and mitigating unwanted bias in a model, which are both important skills for a Data Analyst to have.
Quantitative Analyst
Quantitative Analyst
As a Quantitative Analyst, you will use mathematics and statistics to solve financial problems. This course may be useful for you because it will teach you about measuring model success and mitigating unwanted bias in a model, which are both important skills for a Quantitative Analyst to have.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
As an AI Engineer, you will make AI models that are used for products or services. This course may be useful for you because it will teach you about measuring model success and mitigating unwanted bias in a model, which are important skills for an AI Engineer to have. Additionally, this course will help you to learn about scaling an AI product so that it's available to a large audience, which is a valuable skill for anyone working in the field of AI.
Consultant
Consultant
As a Consultant, you will advise clients on how to solve business problems. This course may be useful for you because it will teach you about measuring model success and mitigating unwanted bias in a model, which are both important skills for a Consultant to have.
User Experience Researcher
User Experience Researcher
As a User Experience Researcher, you will study user behavior to improve the user experience of products and services. This course may be useful for you because it will teach you about measuring model success and mitigating unwanted bias in a model, which are both important skills for a User Experience Researcher to have.
Market Research Analyst
Market Research Analyst
As a Market Research Analyst, you will use data to understand customer needs and preferences. This course may be useful for you because it will teach you about measuring model success and mitigating unwanted bias in a model, which are both important skills for a Market Research Analyst to have.
Product Designer
Product Designer
As a Product Designer, you will design and develop new products and services. This course may be useful for you because it will teach you about measuring model success and mitigating unwanted bias in a model, which are both important skills for a Product Designer to have.
Software Engineer
Software Engineer
As a Software Engineer, you will design, build, and maintain software applications. This course may be useful for you because it will teach you about the machine learning lifecycle, which is a valuable skill for any Software Engineer to have. Additionally, this course will help you to learn about scaling an AI product so that it's available to a large audience, which is a valuable skill for anyone working in the field of software engineering.
Business Analyst
Business Analyst
As a Business Analyst, you will use data to identify business problems and opportunities. This course may be useful for you because it will teach you about measuring model success and mitigating unwanted bias in a model, which are both important skills for a Business Analyst to have.
Entrepreneur
Entrepreneur
As an Entrepreneur, you will start and run your own business. This course may be useful for you because it will teach you about the machine learning lifecycle, which is valuable for any Entrepreneur to know. Additionally, this course will help you to learn about scaling an AI product so that it's available to a large audience, which is a valuable skill for any Entrepreneur.
Teacher
Teacher
As a Teacher, you will educate students about a particular subject. This course may be useful for you because it will teach you about the machine learning lifecycle, which is valuable for any Teacher to know. Additionally, this course will help you to learn about scaling an AI product so that it's available to a large audience, which is a valuable skill for any Teacher.
Writer
Writer
As a Writer, you will create written content for a variety of purposes. This course may be useful for you because it will teach you about the machine learning lifecycle, which is valuable for any Writer to know. Additionally, this course will help you to learn about scaling an AI product so that it's available to a large audience, which is a valuable skill for any Writer.
For more career information including salaries, visit:
OpenCourser.com/course/d2h45v/measuring
Reading list
We've selected 11 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
Measuring Impact and Updating Models.
Provides an extensive hands-on guide to building and evaluating machine learning models using popular Python libraries.
Save
Offers a comprehensive overview of deep learning, covering both theoretical foundations and practical applications.
Provides a probabilistic perspective on machine learning, helping learners understand the underlying mathematical foundations.
Offers a balanced introduction to both supervised and unsupervised machine learning techniques.
Provides a comprehensive overview of statistical pattern recognition and machine learning, with a focus on Bayesian methods.
Offers a practical guide to using machine learning tools and techniques for solving real-world problems.
Offers a practical guide to building and deploying machine learning models using Python.
Provides a hands-on introduction to data science, covering data cleaning, analysis, and visualization.
Offers a practical guide to building and evaluating machine learning models using R.
Provides a comprehensive guide to building and deploying machine learning models using Python.
Provides a practical guide to building and deploying machine learning models using Go.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/d2h45v/measuring
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Time
30240 hours
Level
Introductory
Via
Udacity
Instructors
Kirsten Gokay
Meeta Dash
Alyssa Simpson-Rochwerger
Andrea Butkovic
Kiran Vajapey
Language
English
Good to know
Develops strategies to mitigate bias, which is a common challenge in AI development
Examines the end-to-end AI product development cycle, from ideation to launch
Provides real-world examples of AI product development, making the learning experience more practical
Taught by experienced instructors with expertise in product management and AI
Requires foundational knowledge in product management and AI, making it suitable for intermediate learners
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