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- AI
- Data
Introduction to Machine Learning Model Training
7 Courses
4 Hours
Skill IQ
Model training is an essential step in the development of machine learning algorithms. This learning path aims to provide a comprehensive introduction to training machine learning models so you can take the next step in the overall ML lifecycle.
This learning path is actively in production. More content will be added to this page as it gets published and becomes available in the library. Planned content includes: - Optimizing Models with Hyperparameter Tuning - Model Evaluation
Content in this path
Introduction to Machine Learning Model Training
Watch the following courses to get started with machine learning model training.
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What You'll Learn
- Best practices for model training
- How to data feed and efficiently
- How to monitor and evaluate model performance
- How to optimize models with hyperparameter tuning
- How to prevent overfitting in model training
- How to deploy trained models
- How to continuously train models with evolving data streams
Prerequisites
- Learners interested in this content should have a basic knowledge and familiarity of machine learning topics. They should also have a solid grasp of Python and basic knowledge of common ML libraries like TensorFlow and scikit-learn.
Related topics
- Machine Learning
- Deep Learning
- Data Science
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