Welcome to the Art and Science of machine learning. This course is delivered in 6 modules. The course covers the essential skills of ML intuition, good judgment and experimentation needed to finely tune and optimize ML models for the best performance. You will learn how to generalize your model using Regularization techniques and about the effects of hyperparameters such as batch size and learning rate on model performance. We’ll cover some of the most common model optimization algorithms and show you how to specify an optimization method in your TensorFlow code.
이 강좌에 대하여
학습자 경력 결과
학습자 경력 결과
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 stars
- 4 stars
- 3 stars
- 2 stars
- 1 star
ART AND SCIENCE OF MACHINE LEARNING의 최상위 리뷰
thanks for the great work. There is so much to learn and I appreciate the effort you made to break things down and providing lab while making the hard decisions on what to commit.
This course is so really good to learn about the general knowledge and skill of Data Science like optimization batch or regularization and so on with Google Cloud Platform.
A lot of core neural network topics were presented in a productive way and I particularly liked the LAB showing how to write custom estimators.
This is an extensive course where you learn some handy techniques like embedding which I believe will be very handy for many applications
자주 묻는 질문
등록 전에 강좌를 미리 볼 수 있나요?
등록하면 무엇을 이용할 수 있나요?
강좌 수료증을 언제 받게 되나요?
이 강좌를 청강할 수 없는 이유는 무엇인가요?
Qwiklabs Terms of Service
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.