Launching into Machine Learning
|
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.
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.
Author Name: Google Cloud
Author Description:
Google Cloud can help solve your toughest problems and grow your business. With Google Cloud, their infrastructure is your infrastructure. Their tools are your tools. And their innovations are your innovations.
User Reviews
Be the first to review “Launching into Machine Learning”
Related Products
Machine Learning: Logistic Regression
Predict the probability that a datapoint belongs to a given class with Logistic Regression.
Intro to Deep Learning with TensorFlow
Build basic deep learning models in TensorFlow.
Intro to AI Transformers
Learn about what transformers are (the T of GPT) and how to work with them using Hugging Face libraries
Apply Natural Language Processing with Python
Learn Python for Natural Language Processing, the field behind chatbots, search engines, and autocorrect.
Intro to PyTorch and Neural Networks
Learn how to use PyTorch to build, train, and test artificial neural networks in this course.
Data Scientist Interview Preparation
Prepare for the data science interview process, from navigating job postings to passing the technical interview.
There are no reviews yet.