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學生對 IBM 技能网络 提供的 Machine Learning Introduction for Everyone 的評價和反饋

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46 個評分

課程概述

This three-module course introduces machine learning and data science for everyone with a foundational understanding of machine learning models. You’ll learn about the history of machine learning, applications of machine learning, the machine learning model lifecycle, and tools for machine learning. You’ll also learn about supervised versus unsupervised learning, classification, regression, evaluating machine learning models, and more. Our labs give you hands-on experience with these machine learning and data science concepts. You will develop concrete machine learning skills as well as create a final project demonstrating your proficiency. After completing this program, you’ll be able to realize the potential of machine learning algorithms and artificial intelligence in different business scenarios. You’ll be able to identify when to use machine learning to explain certain behaviors and when to use it to predict future outcomes. You’ll also learn how to evaluate your machine learning models and to incorporate best practices. In addition to receiving a certificate from Coursera, you'll also earn an IBM Badge to help you share your accomplishments with your network and potential employer. This Course Is Part of Multiple Programs You can also leverage the learning from the program to complete the remaining two courses of the six-course IBM Machine Learning Professional Certificate and power a new career in the field of machine learning....

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BS

2022年6月12日

Very informative and for someone who just knows the word "Machine Learning", this was a good learning curve in getting to know about it

ZA

2022年6月26日

I learned a lot from this course ,i love this course. i enjoyed this course and got a lot of knowledge.

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1 - Machine Learning Introduction for Everyone 的 14 個評論(共 14 個)

創建者 B P S

2022年6月13日

創建者 Morgan B

2022年6月11日

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2022年6月27日

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2022年6月4日

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2022年3月30日

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2022年3月10日

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2022年5月25日

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2022年6月3日

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2022年10月1日

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2022年7月23日

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2022年7月1日

創建者 Shivani S

2022年7月16日