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Pluralsight

Model Training: Best Practices for Data Practitioners

via Pluralsight

Overview

Pre-trained models are used everywhere right now to add AI
functionalities to products. But have you wondered how they are
trained? This course will teach you from start to finish the process of
going from an idea and a dataset to a trained model.

Machine Learning is everywhere. Everyday more AI capabilities are added to every product, so to keep up to date you need to master that skill. In this course, Model Training: Best Practices for Data Practitioners, you’ll gain the ability to train a model to solve such AI problems. First, you’ll explore the model lifecycle and data preparation strategies. Next, you’ll discover how to train and select models. Finally, you’ll learn how to keep up to date with trends. When you’re finished with this course, you’ll have the skills and knowledge of model training needed to add any AI feature to any product when needed.

Syllabus

  • Course Overview 1min
  • Model Training and Selection with Train-test Splits 22mins
  • Model Training and Selection with Cross Validation 22mins

Taught by

Axel Sirota

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