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Machine Learning Algorithms: Supervised Learning Tip to Tail(으)로 돌아가기

Alberta Machine Intelligence Institute의 Machine Learning Algorithms: Supervised Learning Tip to Tail 학습자 리뷰 및 피드백

4.9
14개의 평가
2개의 리뷰

강좌 소개

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. To be successful, you should have at least beginner-level background in Python programming (e.g., be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode). This is the second course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute....
필터링 기준:

Machine Learning Algorithms: Supervised Learning Tip to Tail의 3개 리뷰 중 1~3

교육 기관: Cheng H Z

Oct 10, 2019

교육 기관: Miguel A S M

Oct 15, 2019

교육 기관: Luiz C

Sep 11, 2019