Launching into Machine Learning
About this Course
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.Created by: Google Cloud
Related Online Courses
This course covers standard derivative pricing models. Both discrete time and continuous time techniques are considered. The course also includes an introduction to numerical option pricing, in... more
This is the second course in the Learn English: Advanced Grammar and Punctuation specialty. In this course, you will learn about a lot of different ways to join ideas to make more complex and... more
Overview of the main principles of Deep Learning along with common architectures. Formulate the problem for time-series classification and apply it to vital signals such as ECG. Applying this... more
Through this Specialization, students learn the essential skills of an Insurance Billing Specialist. Knowledge of human anatomy and medicine is necessary for any healthcare role, so students are... more
This course aims to provide a general understanding of semiconductor devices. This coures covers the Metal-Semiconductor Contact, Metal-Oxide-Semiconductor (MOS) capapcitor,... more