The Art and Science of ML
In this data science course you will learn the essential skills of ML intuition, good judgment and experimentation to finely tune and optimize your ML models for the best performance.
What you'll learn
Welcome to the art and science of machine learning. In this data science course you will learn the essential skills of ML intuition, good judgment and experimentation to finely tune and optimize your ML models for the best performance.
In this course you will learn the many knobs and levers involved in training a model. You will first manually adjust them to see their effects on model performance. Once familiar with the knobs and levers, otherwise known as hyperparameters, you will learn how to tune them in an automatic way using Cloud Machine Learning Engine on Google Cloud Platform.
Table of contents
- Introduction 2m
- Regularization 5m
- L1 & L2 Regularizations 5m
- Getting Started With GCP And Qwiklabs 4m
- Lab Intro - Regularization 0m
- Lab Solution - Regularization 3m
- Learning Rate and Batch Size 5m
- Optimization 1m
- Practicing with Tensorflow Code 1m
- Lab Intro - Hand-Tuning ML Models 0m
- Lab: [ML on GCP C5] Improve model accuracy by hand-tuning hyperparameters 0m
- Lab Solution - Hand-Tuning ML Models 7m
- Introduction 1m
- Parameters vs Hyperparameters 2m
- Think Beyond Grid Search 3m
- Lab Intro - Improve Model Accuracy by Hyperparameter Tuning with Cloud MLE 0m
- Lab: [ML on GCP C5] Improve model accuracy by hyperparameter tuning with Cloud MLE 0m
- Lab Solution - Improve Model Accuracy by Hyperparameter Tuning with Cloud MLE 1m
