AutoML: Build Production-Ready Models Quickly!

سرفصل های دوره

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.

01 - Introduction

01 - Apply machine learning to problems

02 - What you should know before you start

02 - 1. Building Machine Learning Models

01 - Collecting, understanding, and preparing data

02 - Choosing the right model for your data

03 - Optimizing parameters and evaluating trained models

04 - Making predictions about new data

05 - AutoML tools Why use them

03 - 2. AutoML for Tabular Data

01 - Introducing AutoGluon

02 - Training your first AutoGluon model

03 - Improving your AutoGluon model

04 - Challenge Flight delay prediction

05 - Solution Flight delay prediction

04 - 3. AutoML for Image Data

01 - Computer vision How do you handle image data

02 - Introducing Azure Custom Vision

03 - Uploading and labeling images

04 - Training and validating your model

05 - Using your model

06 - Working with code Tradeoffs

07 - Challenge Multi-class classification

08 - Solution Multi-class classification

09 - Cleaning up your resources

05 - 4. AutoML for Text Data

01 - NLP How do you handle text data

02 - Introducing HugginFace AutoTrain

03 - Formatting and uploading your data for your task

04 - Training your AutoNLP model and making predictions

05 - Challenge Multi-class text classification

06 - Solution Multi-class text classification

06 - Conclusion

01 - Other AutoML tools Retraining AutoML models automatically

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تولید کننده: LinkedIn Learning (Lynda)