This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. Learners will also gain skills to contrast the practical consequences of different data preparation steps and describe common production issues in applied ML.
이 강좌에 대하여
- 5 stars76%
- 4 stars18.50%
- 3 stars3.25%
- 2 stars1%
- 1 star1.25%
MACHINE LEARNING ALGORITHMS: SUPERVISED LEARNING TIP TO TAIL의 최상위 리뷰
Great course, easy to grasp the main idea of how to assess and tune the performance of question-answering machines learned by machine learning algorithms through data
Excellent course for an overview of different ML algorithms. The course is made from a perspective of giving insights in process and not too many mathematical details.
although the course felt a little hurried, I found the course and the instructor to be very engaging. I look forward to learning more
This is an excellent course which goes into some depth on the different ML models and underlying complexity but it avoids getting bogged down into the details too much.
Machine Learning: Algorithms in the Real World 특화 과정 정보
This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application.
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