Book Content
chapters • 11h28m total length
1. Introduction to Google Cloud and BigQuery
2. Setting Up Your GCP and BigQuery Environment
3. Introducing BigQuery Syntax
4. Predicting Numerical Values with Linear Regression
5. Predicting Boolean Values Using Binary Logistic Regression
6. Classifying Trees with Multiclass Logistic Regression
7. Clustering Using the K-Means Algorithm
8. Forecasting Using Time Series
9. Suggesting the Right Product by Using Matrix Factorization
10. Predicting Boolean Values Using XGBoost
11. Implementing Deep Neural Networks
12. Using BigQuery ML with AI Notebooks
13. Running TensorFlow Models with BigQuery ML
14. BigQuery ML Tips and Best Practices
