Week 1 - Lecture 1 - Introduction to Machine Learning

Machine Learning models - Load and Performance Testing

Assessing your Machine Learning Workloads

2. Lifecycle - ML Projects - Full Stack Deep Learning

Automation to accelerate apply and outperform your machine learning models

Introduction to Machine Learning

Model Execution Performance and Integration Understanding

Maximum Likelihood Estimation (MLE): The Intuition

How do you choose the best model and perform feature engineering? (18 of 28)