Smart Analytics, Machine Learning, and AI on GCP
Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud Platform depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces AI Platform Notebooks and BigQuery Machine Learning. Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud Platform using QwikLabs.
What you'll learn
Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud Platform depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces AI Platform Notebooks and BigQuery Machine Learning. Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud Platform using QwikLabs.
Table of contents
- BigQuery ML for Quick Model Building 6m
- Classification, Regregression, and Recommender Models 5m
- Unsupervised ML with Clustering Models 3m
- Lab Intro:Predict Bike Trip Duration with a Regression Model in BQML 0m
- Lab: Predict Bike Trip Duration with a Regression Model in BQML 0m
- Lab Intro:Movie Recommendations in BigQuery ML 0m
- Lab: Movie Recommendations in BigQuery ML 0m
- Summary 0m
