Machine Learning in the Enterprise
|
This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases.
This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the best approach for data preprocessing. The team is presented with three options to build ML models for two use cases. The course explains why they would use AutoML, BigQuery ML, or custom training to achieve their objectives.
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.
Table of Contents
- Introduction
1min - Introduction
1min - Introduction
1min - Understanding the ML Enterprise Workflow
6mins - Understanding the ML Enterprise Workflow
6mins - Understanding the ML Enterprise Workflow
6mins - Data in the Enterprise
33mins - Data in the Enterprise
29mins - Data in the Enterprise
29mins - Science of Machine Learning and Custom Training
36mins - Science of Machine Learning and Custom Training
36mins - Science of Machine Learning and Custom Training
36mins - Vertex Vizier Hyperparameter Tuning
17mins - Vertex Vizier Hyperparameter Tuning
17mins - Vertex Vizier Hyperparameter Tuning
17mins - Prediction and Model Monitoring Using Vertex AI
16mins - Prediction and Model Monitoring Using Vertex AI
16mins - Prediction and Model Monitoring Using Vertex AI
16mins - Vertex AI Pipelines
5mins - Vertex AI Pipelines
5mins - Vertex AI Pipelines
5mins - Best Practices for ML Development
11mins - Best Practices for ML Development
11mins - Best Practices for ML Development
11mins - Course Summary
0mins - Course Summary
0mins - Course Summary
0mins - Series Summary
3mins - Series Summary
3mins - Series Summary
3mins
User Reviews
Be the first to review “Machine Learning in the Enterprise”
Related Products
Intro to AI Transformers
Learn about what transformers are (the T of GPT) and how to work with them using Hugging Face libraries
Data Scientist Interview Preparation
Prepare for the data science interview process, from navigating job postings to passing the technical interview.
Intermediate Machine Learning
Level up your machine learning skills with tuning methods, advanced models, and dimensionality reduction.
Data Scientist: Natural Language Processing Specialist
NLP Data Scientists find meaning in language, analyze text and speech, and create chatbots. They use Python, SQL, & NLP to answer questions.
Apply Natural Language Processing with Python
Learn Python for Natural Language Processing, the field behind chatbots, search engines, and autocorrect.
Machine Learning/AI Engineer
Machine Learning/AI Engineers build end-to-end ML applications and power many of the apps we use every day. They work in Python, Git, & ML.
There are no reviews yet.