Want to know about Vertex AI Feature Store? Want to know how you can improve the accuracy of your ML models? What about how to find which data columns make the most useful features? Welcome to Feature Engineering, where we discuss good versus bad features and how you can preprocess and transform them for optimal use in your models. This course includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.
À propos de ce cours
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
- 5 stars63,36 %
- 4 stars25,08 %
- 3 stars7,44 %
- 2 stars2,16 %
- 1 star1,93 %
Meilleurs avis pour INGÉNIERIE DES FONCTIONNALITÉS
i really like the effort taken in developing this course, the structure. Kudos to Laks for converting lots of statistical and coding language to very simple understandable english.
The part about tensorflow transform in the end is super rushed and not that clear, other than that the course is well made and clear in its instructions and very recommended!
In depth and advanced. I spent hours poring over the Jupyter notebooks and consequently derived a great deal of value from the course.
Its a graet course team me one of the most important took "Apache Beam" I defiantly use this in my upcoming projects. I only give 4 star because of poor teaching by "Carl Osipov"
Foire Aux Questions
Puis-je prévisualiser un cours avant de m'inscrire ?
À quoi ai-je droit si je m'inscris ?
Quand recevrai-je mon Certificat de Cours ?
Pourquoi ne puis-je pas assister à ce cours en auditeur libre ?
Qwiklabs Terms of Service
D'autres questions ? Visitez le Centre d'Aide pour les Étudiants.