Practical Crowdsourcing for Efficient Machine Learning
Rosmiyana Shekhovtsova,
Ivan Karpeev,
Ivan Stelmakh,
Vladimir Zubkov,
Ekaterina Fedorenko,
Sergey Koshelev,
Ivan Semchuk,
Daria Baidakova,
Damir Sibgatullin,
Oleg Pavlov,
and
Alexey Moga
Rosmiyana Shekhovtsova,
Ivan Karpeev,
Ivan Stelmakh,
Vladimir Zubkov,
Ekaterina Fedorenko,
Sergey Koshelev,
Ivan Semchuk,
Daria Baidakova,
Damir Sibgatullin,
Oleg Pavlov,
and
Alexey Moga
This course will teach you efficient and scalable data labeling for ML and various business processes. The key here is the crowdsourcing approach, based on splitting complex challenges into small tasks and distributing them among a vast cloud of...
This course will teach you efficient and scalable data labeling for ML and various business processes. The key here is the crowdsourcing approach, based on splitting complex challenges into small tasks and distributing them among a vast cloud of performers.
You will get acquainted with crowdsourcing as a methodology, mastering certain steps and techniques that ensure quality and stable performance. All these techniques will be implemented in practice straight away: throughout the course, you’ll design your own crowdsourcing project.
And get unlimited access to Coursera
Register for this course and see more details by visiting:
OpenCourser.com/course/g119v8/practical
Activities
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Practical Crowdsourcing for Efficient Machine Learning.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Practical Crowdsourcing for Efficient Machine Learning will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers implement machine learning algorithms to solve real-world problems. These experts analyze real-time data to create products like recommendation systems, fraud detection, and more. This course in Practical Crowdsourcing for Efficient Machine Learning helps build a foundation in using crowdsourcing strategies for large-scale data labeling. This can aid a Machine Learning Engineer by streamlining data labeling processes to improve model accuracy and efficiency.
Data Scientists use data to extract meaningful insights. They can use these insights to solve complex business problems. Those interested in becoming Data Scientists can take Practical Crowdsourcing for Efficient Machine Learning. This course helps build a strong foundation in data labeling techniques.
Business Analysts use data to identify business needs and opportunities. They can use these skills to improve business processes and make better decisions. Practical Crowdsourcing for Efficient Machine Learning may be useful for those interested in becoming Business Analysts. This course teaches data labeling techniques which can help extract meaningful insights from data.
Product Managers are responsible for the development and launch of new products. They can use data to make decisions about product features, pricing, and marketing. Practical Crowdsourcing for Efficient Machine Learning may be useful for Product Managers who want to improve their data labeling processes. The course will teach techniques that can help improve the quality and accuracy of data used for decision-making.
Software Engineers design, develop, and maintain software applications. They can use data to improve the efficiency and performance of software. Practical Crowdsourcing for Efficient Machine Learning may be useful for those interested in becoming Software Engineers who want to specialize in developing machine learning applications. The course will teach techniques that can help improve the quality and accuracy of data used for training machine learning models.
Data Engineers design, build, and maintain data pipelines. They can use data to improve the efficiency and performance of data processing systems. Practical Crowdsourcing for Efficient Machine Learning may be useful for those interested in becoming Data Engineers who want to specialize in developing machine learning applications. The course will teach techniques that can help improve the quality and accuracy of data used for training machine learning models.
Quality Assurance Analyst
Quality Assurance Analysts test software applications to ensure that they meet requirements. They can use data to identify and fix defects. Practical Crowdsourcing for Efficient Machine Learning may be useful for Quality Assurance Analysts who want to improve their data labeling processes. The course will teach techniques that can help improve the quality and accuracy of data used for testing software applications.
Technical Writers create documentation for software applications and other technical products. They can use data to improve the clarity and accuracy of documentation. Practical Crowdsourcing for Efficient Machine Learning may be useful for those interested in becoming Technical Writers who want to specialize in writing documentation for machine learning applications. The course will teach techniques that can help improve the quality and accuracy of data used for creating documentation.
User Experience Designers design and develop user interfaces for software applications and other products. They can use data to improve the usability and satisfaction of users. Practical Crowdsourcing for Efficient Machine Learning may be useful for those interested in becoming User Experience Designers who want to specialize in designing user interfaces for machine learning applications. The course will teach techniques that can help improve the quality and accuracy of data used for designing user interfaces.
Project Managers plan and execute projects. They can use data to track progress and identify risks. Practical Crowdsourcing for Efficient Machine Learning may be useful for Project Managers who want to improve their data labeling processes. The course will teach techniques that can help improve the quality and accuracy of data used for project planning and execution.
Marketing Managers plan and execute marketing campaigns. They can use data to track results and identify opportunities. Practical Crowdsourcing for Efficient Machine Learning may be useful for Marketing Managers who want to improve their data labeling processes. The course will teach techniques that can help improve the quality and accuracy of data used for marketing campaigns.
Sales Managers plan and execute sales campaigns. They can use data to track results and identify opportunities. Practical Crowdsourcing for Efficient Machine Learning may be useful for Sales Managers who want to improve their data labeling processes. The course will teach techniques that can help improve the quality and accuracy of data used for sales campaigns.
For more career information including salaries, visit:
OpenCourser.com/course/g119v8/practical
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
Practical Crowdsourcing for Efficient Machine Learning.
Explores the potential of machine learning to revolutionize the world. It valuable resource for anyone who wants to learn more about the future of artificial intelligence.
Explores the potential risks and benefits of artificial intelligence. It valuable resource for anyone who wants to learn more about the future of technology.
Explores the potential impact of artificial intelligence on the workplace. It valuable resource for anyone who wants to learn more about the future of work.
Explores the potential impact of the Internet of Things on human intelligence. It valuable resource for anyone who wants to learn more about the future of technology.
Explores the potential future of humanity. It valuable resource for anyone who wants to learn more about the future of our species.
Explores the potential for the Singularity, a hypothetical future event in which artificial intelligence surpasses human intelligence. It valuable resource for anyone who wants to learn more about the future of technology.
Explores the potential impact of artificial intelligence on human life. It valuable resource for anyone who wants to learn more about the future of our species.
Explores the potential future of humanity. It valuable resource for anyone who wants to learn more about the future of our species.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/g119v8/practical
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