Creada por:   University of Washington

  • Carlos Guestrin

    Enseñado por:    Carlos Guestrin, Amazon Professor of Machine Learning

    Computer Science and Engineering

  • Emily Fox

    Enseñado por:    Emily Fox, Amazon Professor of Machine Learning

    Statistics
Basic Info
Commitment7 weeks of study, 5-8 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.6 stars
Average User Rating 4.6See what learners said
Pruébalo gratis
Enroll and get full access to every course in the Specialization for 7 days. Cancel any time.
Programa

Preguntas Frecuentes
Cómo funciona
Trabajo del curso
Trabajo del curso

Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.

Ayuda de tus compañeros
Ayuda de tus compañeros

Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.

Certificados
Certificados

Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.

Creadores
University of Washington
Tarifa
AuditarComprar curso
Accede a los materiales del curso

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Accede a los materiales con calificación

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Recibe una calificación final

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Obtén un Certificado para compartir

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Calificaciones y revisiones
Calificado 4.6 de 5 1,356 calificaciones

effective teaching and practice about decision tree, boosting, and logistic regression. Could have a little more practice on gradient boosted tree/random forest

Presented content is rather clear and instructors are rather easy to follow. Only the assignments are often confusing as there are questions which refer to missing content.

Really a good course, succinct and concise.

The course 3 got pretty technical pretty soon. Enjoyed the first 2 courses without feeling overwhelmed. But course 3 was challenging. I suppose building the expectation of what is to come can reduce the challenge and lead to faster and more number of course completions.