Machine Learning Foundations: A Case Study Approach
This course provides practical experience with machine learning through case studies, concentrating on applying approaches across domains and laying the groundwork for deeper understanding of models and algorithms.
Description for Machine Learning Foundations: A Case Study Approach
Practical Case Analyses: Acquire practical experience through a series of case studies, including forecasting real estate values and suggesting items, to use machine learning methodologies across many sectors.
Machine Learning as a Black Box: Regard machine learning as a black box to concentrate on comprehending relevant problems, aligning them with suitable machine learning techniques, and assessing the quality of outcomes.
Overview of Machine Learning Tasks: Acquire knowledge on aligning certain machine learning tasks, such as sentiment analysis and document retrieval, with appropriate tools and methodologies.
Foundation for Future Learning: Establish a basis for subsequent courses, wherein participants will explore machine learning models, algorithms, and the elements of the machine learning pipeline in greater depth.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by Google Cloud
Duration: 3 weeks at 6 hours a week
Schedule: Flexible
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