The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
Acerca de este Curso
Habilidades que obtendrás
- 5 stars69,34 %
- 4 stars23,77 %
- 3 stars5,02 %
- 2 stars1,21 %
- 1 star0,64 %
Principales reseñas sobre LAUNCHING INTO MACHINE LEARNING
Tensorflow Playground is awesome to understand some of the theory of Deep Neural Nets !
Theory on creating/managing models was good too.
The labs with BigQuery were not that interesting too
I got a whole idea on how to work on data from scratch. Model selection, generalization, splitting of data and performance metric were few things I learned from this course.
Very good course for beginners!
-1 star because I find labs to be less informational and practical and course to be more theoretical that practical!
This course is very helpful to understand the machine learning concepts of various modals, splitting of the data and even training the model for benchmark.
¿Puedo acceder a una vista preliminar del curso antes de inscribirme?
¿Qué recibiré cuando me inscriba?
¿Cuándo recibiré mi Certificado de curso?
¿Por qué no puedo participar como oyente en este curso?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.