W&B 101
This course is a gentle introduction to W&B with a focus on experiment tracking. Learn to track, visualize, and optimize your ML experiments, streamline collaboration with your team, and make your projects more efficient and reproducible.
Course curriculum
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Introducing W&B
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Instrumenting W&B in your code
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Exploring W&B workspace
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Comparing & analyzing experiments
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Using W&B beyond experiment tracking
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Testing your knowledge
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Logging your first run
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More resources for you
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About this course
- Free
- 8 lessons
- 15 minutes of video content
Prerequisites
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Intermediate Python experience
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Understanding of basic machine learning concepts
Instructor
Scott Condron
Machine Learning Engineer
Scott Condron is a Machine Learning Engineer at W&B and works on the Growth team. He has a background in using Machine Learning for Speech and Audio applications and previously worked as a Research Engineer at Speech Graphics developing audio-driven facial animation tools.
Reviews
A superb, hands-on intro to W&B.
Aditya Tiwari
A well guided hands-on intro to W&B which gives a good idea of its experiment tracking capabilities.
A well guided hands-on intro to W&B which gives a good idea of its experiment tracking capabilities.
Read LessGreat first understanding of the product!
Immanuel Böker
I'm new to W&B and already learnt a lot about how useful this tool is.
I'm new to W&B and already learnt a lot about how useful this tool is.
Read Less5 Stars
Muhammad Faizan
This is such a great course for understanding the system logs and monitoring and storing runs for each experiment. Highly recommended!
This is such a great course for understanding the system logs and monitoring and storing runs for each experiment. Highly recommended!
Read LessGet Your Free Certification From W&B
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