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- Level: Beginner
- Duration: 04h 18m 12s
- Release date: 2022-03-16
- Author: Google Cloud
- Provider: Pluralsight
Launching into Machine Learning
Description
Content
The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis.
- Introduction01m
- Course introduction01m
- Get to Know Your Data: Improve Data through Exploratory Data Analysis56m
- Introduction01m
- Improve data quality13m
- Pluralsight: Getting Started with GCP and Qwiklabs04m
- Lab intro: Improve the quality of your data01m
- Lab Demo: Improve the quality of your data23m
- Lab: Improving Data Quality00m
- What is exploratory data analysis05m
- How is EDA used in machine learning04m
- Data analysis and visualization04m
- Lab intro: Explore the data using Python and BigQuery01m
- Lab: Exploratory Data Analysis Using Python and BigQuery00m
- Resources: Get to know your data: Improve data through Exploratory Data Analysis00m
- Machine Learning in Practice44m
- Introduction01m
- Supervised learning04m
- Linear regression11m
- Lab intro: Introduction to linear regression00m
- Lab Demo: Intro to Linear Regression12m
- Lab: Introduction to Linear Regression00m
- Logistic regression16m
- Resources: Machine Learning in Practice00m
- Training AutoML Models Using Vertex AI39m
- Introduction01m
- Machine learning vs. deep learning07m
- What is automated machine learning?02m
- AutoML regression model10m
- (Optional) Lab intro: Training an AutoML classification model (Structured data)00m
- (Optional) Lab Demo: Training an AutoML classification model (Structured data)08m
- Lab: Training an AutoML Classification Model - Structured Data00m
- Evaluate AutoML models11m
- Resources: Training AutoML Models Using Vertex AI00m
- BigQuery Machine Learning: Develop ML Models Where Your Data Lives30m
- Introduction01m
- Training an ML model using BigQuery ML06m
- BigQuery Machine Learning supported models02m
- Lab intro: Using BigQuery ML to predict penguin weight (BigQuery ML & Explainable AI)00m
- Lab Demo: Using BigQuery ML to predict penguin weight (BigQuery ML & Explainable AI)12m
- Lab: Using BigQuery ML to Predict Penguin Weight00m
- BigQuery ML hyperparameter tuning03m
- (Optional) Lab intro: Using the BigQuery ML hyperparameter tuning to improve model performance00m
- Lab: Using the BigQuery ML Hyperparameter Tuning to Improve Model Performance00m
- How to build and deploy a recommendation system with BigQuery ML06m
- Resources: BigQuery Machine Learning: Develop ML Models Where Your Data Lives00m
- Optimization59m
- Introduction01m
- Defining ML models04m
- Introducing the course dataset07m
- Introduction to loss functions07m
- Gradient descent05m
- Troubleshooting loss curves03m
- ML model pitfalls06m
- Lecture lab: Introducing the TensorFlow Playground06m
- Lecture lab: TensorFlow Playground - Advanced03m
- Lecture lab: Practicing with neural networks07m
- Performance metrics04m
- Confusion matrix06m
- Resources: Optimization00m
- Generalization and Sampling28m
- Introduction02m
- Generalization and ML models06m
- When to stop model training05m
- Creating repeatable samples in BigQuery06m
- Demo: Splitting datasets in BigQuery09m
- Resources: Generalization and Sampling00m
- Summary00m
- Summary00m
- Resource: All quiz questions00m
- Resource: All readings00m
- Resource: All slides00m
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