Good content but should be split across multiple session. Explanation of examples was very high level; a deeper explanation is needed. many data science terms were used assuming they would be commonly known- doesnt cater to audience with diverse background and level of understanding and awareness about AI. Please categorize the course as, entry/intermediate/advance if you expect audience to have certain level of knowledge before taking up the course.
课程详情
Machine learning as a concept has been around for over 60 years, but as artificial intelligence becomes more and more popular, there’s increased opportunity in the field of artificial intelligence and its subgroups, machine learning and deep learning. And with the explosion of cloud computing, it’s only natural to study machine learning with cloud technologies like Azure. In this introductory course to her Azure machine learning series, Zarina Meeran starts you off with the basics of AI, and covers how ML and DL subgroups fit into the picture. She then dives into the various machine learning problems and the machine learning algorithms used to solve these problems. Zarina also covers the machine learning lifecycle to get the end-to-end picture, as well as the tools offered from Azure. Finally, she goes through the architecture of MLOps within the cloud as this is currently adopted.
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Stephanie Lillard, MSW, LCSW-A MBA, MPM, MISM
Stephanie Lillard, MSW, LCSW-A MBA, MPM, MISM
Author, Counselor, International Speaker, & Strategic Healthcare Business Consultant
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- 知识测验 6 个测验
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