LinkedIn Learning – AutoML – Build Production-Ready Models Quickly
English | Tutorial | Size: 348.17 MB
Join machine learning engineer Akintunde Oluwatobiloba Oladipo as he shows you how to build production-ready ML models quickly and accurately, using automation to optimize your workflows. Test out your new skills along the way with hands-on practice challenges. By the end of this course, you’ll be prepared to set bigger and bolder business objectives, using AutoML modeling tools as your analytic guide.
Learning Objectives:
• Walk through examples of working with tabular, image, and text datasets.
• Discover what you need to format and upload data for your task.
• Perform data cleaning on a dataset to make columns numeric and address missing values.
• Explore the basics of computer vision, along with image classification and object detection.
• Discover the best models for different types of datasets.
• Learn about hyperparameter optimization and model evaluation.
• Explore natural language processing (NLP).
• Learn how to train AutoNLP for your models, choose custom models, and apply deployed
models to new data.
• Get familiar with the Custom Vision platform, part of Azure Cognitive Services.
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