Recommendation Systems with TensorFlow on GCP

Por: Coursera . en: , ,

Descripción del Curso

***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.***

In this course, you'll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.

• Devise a content-based recommendation engine
• Implement a collaborative filtering recommendation engine
• Build a hybrid recommendation engine with user and content embeddings

SPECIALIZATION COMPLETION CHALLENGE
As if learning new skills wasn’t enough of an incentive, we're excited to announce a special completion challenge for 'Advanced Machine Learning with TensorFlow on GCP’ specialization.

Here’s how it works: Our completion challenge runs through 11:59pm PT May 5, 2019. Complete any course in this Specialization including this one, anytime in this period and we'll send you 30 Qwiklabs credits for each course completed (upto $150 value given there are 5 courses in the specialization).

You can use these credits to take additional labs and earn badges, which you can then add to your resume and social profiles.

Your challenge awaits – begin learning on Coursera today!

>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

Plataforma

Valoraciones

Recommendation Systems with TensorFlow on GCP

Media de valoraciones

0

0 valoraciones

5 1

Detalle

5 Estrellas
0
4 Estrellas
0
3 Estrellas
0
2 Estrellas
0
1 Estrella
0

    Añadir una Valoración

    Nombre
    Email
    Titulo
    Valoración
    Contenido