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AutoML: Build Production-Ready Models Quickly!

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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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    شناسه: 2748
    حجم: 349 مگابایت
    مدت زمان: 105 دقیقه
    تاریخ انتشار: 28 دی 1401
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