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.
Informações sobre o curso
Habilidades que você terá
Universidade de Washington
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.
- 5 stars48,05%
- 4 stars32,14%
- 3 stars10,06%
- 2 stars5,51%
- 1 star4,22%
Principais avaliações do ANÁLISE PREDITIVA PRÁTICA: MODELOS E MÉTODOS
Hands on practices are very good. learning predictive model was a challenge.
Very good approach to each method; the assignments are a good test for the topics.
Professor Bill Howe gives great reactions to when there are typos on the slides!
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.
Sobre Programa de cursos integrados Ciência de dados em larga escalaCiência de Dados em Larga Escala
Learn scalable data management, evaluate big data technologies, and design effective visualizations.
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