AutoML: Build Production-Ready Models Quickly!

Course details

All across the world, businesses are turning to machine learning to solve highly complex problems. As a result, knowing how to build ML models has become a sought-after technical skill. In this course, instructor Akintunde Oluwatobiloba Oladipo shows you how to build production-ready machine learning models quickly and easily, without making errors, using automation to optimize your workflows.

Learn the essentials of how and why machine learning has become such an indispensable tool for leaders and teams. Find out more about how to use AutoML tools to meet business-critical objectives and boost your productivity. Akintunde pulls examples for working with tabular, image, and text data sets. Test out your new skills along the way with hands-on practice challenges at the end of each section. 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.

Concepts

0. Introduction

01 - Apply machine learning to problems
02 - What you should know before you start

1. Building Machine Learning Models

03 - Collecting, understanding, and preparing data
04 - Choosing the right model for your data
05 - Optimizing parameters and evaluating trained models
06 - Making predictions about new data
07 - AutoML tools - Why use them

2. AutoML for Tabular Data

08 - Introducing AutoGluon
09 - Training your first AutoGluon model
10 - Improving your AutoGluon model
11 - Challenge - Flight delay prediction
12 - Solution - Flight delay prediction

3. AutoML for Image Data

13 - Computer vision - How do you handle image data
14 - Introducing Azure Custom Vision
15 - Uploading and labeling images
16 - Training and validating your model
17 - Using your model
18 - Working with code - Tradeoffs
19 - Challenge - Multi-class classification
20 - Solution - Multi-class classification
21 - Cleaning up your resources

4. AutoML for Text Data

22 - NLP - How do you handle text data
23 - Introducing HugginFace AutoTrain
24 - Formatting and uploading your data for your task
25 - Training your AutoNLP model and making predictions
26 - Challenge - Multi-class text classification
27 - Solution - Multi-class text classification

Conclusion

28 - Other AutoML tools - Retraining AutoML models automatically

AutoML: Build Production-Ready Models Quickly!

Authors

Akintunde Oluwatobiloba Oladipo