Statistical experiment design and analytics are at the heart of data science. In this course you will design statistical experiments and analyze the results using modern methods. You will also explore the common pitfalls in interpreting statistical arguments, especially those associated with big data. Collectively, this course will help you internalize a core set of practical and effective machine learning methods and concepts, and apply them to solve some real world problems.
이 강좌에 대하여
귀하가 습득할 기술
- 5 stars48.22%
- 4 stars32.03%
- 3 stars10.03%
- 2 stars5.50%
- 1 star4.20%
PRACTICAL PREDICTIVE ANALYTICS: MODELS AND METHODS의 최상위 리뷰
Fantastic course! Excellent conceptual teaching for people who already know the subject but need some more clarity on how to approach statistical tests and machine learning.
Very nice assignments and content. You learn a lot when you complete all assignments.
A quick overview of technology terms used for Machine Learning, and gentle introduction into learning through Kaggle.
Excellent course with amazing practical exercises!
대규모 데이터 과학 특화 과정 정보
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
이 전문 분야를 구독하면 무엇을 이용할 수 있나요?
재정 지원을 받을 수 있나요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.