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.
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Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.
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PRACTICAL PREDICTIVE ANALYTICS: MODELS AND METHODS의 최상위 리뷰
Hands on practices are very good. learning predictive model was a challenge.
Need some background in R or Python and the lectures are from around 2013. Most of the material is still relevant.
A quick overview of technology terms used for Machine Learning, and gentle introduction into learning through Kaggle.
Professor Bill Howe gives great reactions to when there are typos on the slides!
대규모 데이터 과학 특화 과정 정보
Learn scalable data management, evaluate big data technologies, and design effective visualizations.
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