강의
비즈니스를 위한 Machine Learning
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업데이트됨 2024. 11.TheoryMachine Learning2시간15 동영상48 연습 문제3,200 XP45,263성취 증명서
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Machine learning and data use cases
Machine learning is used in many different industries and fields. It can fundamentally improve the business if applied correctly. This chapter outlines machine learning use cases, job roles and how they fit in the data needs pyramid.
2
Machine learning types
This chapter overviews different machine learning types. We will look into differences between causal and prediction models, explore supervised and unsupervised learning, and finally understand the sub-types of supervised learning: classification and regression.
3
Business requirements and model design
This chapter reviews key steps in scoping out business requirements, identifying and sizing machine learning opportunities, assessing the model performance, and identifying any performance risks in the process.
4
Managing machine learning projects
This chapter will look into the best and worst practices of managing machine learning projects. We will identify most common machine learning mistakes, learn how to manage communication between the business and ML teams and finally address the challenges when deploying machine learning models to production.