Automated Machine Learning
Explore automated machine learning processes including feature engineering, model selection, and hyperparameter tuning. Understand popular tools such as Microsoft Neural Network Intelligence, Google Cloud AutoML, Amazon SageMaker, and more to streamline model building and deployment, even without deep machine learning expertise.
Automated machine learning
Automated machine learning refers to automating the process of model development and deployment, which involves feature engineering, feature selection, model selection, hyperparameter optimization, and model deployment. In this lesson, we’ll learn about these open-source and commercial tools and technologies, meant for automated machine learning.
Microsoft’s neural network intelligence
Neural Network Intelligence (NNI) is made by Microsoft. It helps in the automation of the following tasks:
- Feature engineering
- Neural architecture search