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Math4ML Exercises: Getting Started & Linear Algebra

Weights & Biases 15,854 3 years ago
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In this video, W&B Deep Learning Educator Charles Frye and ML Engineer Scott Condron introduce the Math4ML exercise video series, demonstrate the exercise autograder, and work through a few warm-up problems in the linear algebra notebook. To try out the exercises yourself, head here: https://github.com/wandb/edu/tree/main/math-for-ml Check out the other Math4ML videos here: http://wandb.me/m4ml-videos 00:00 - Teaser 00:12 - Intro & background 01:34 - Starting up the notebook 01:57 - Using the Autograder 02:37 - Example Autograder outputs 05:06 - Linear algebra is like programming 06:16 - Array shapes are like types 09:40 - Exercise: Dimension counting 21:18 - Exercise: Shapes and transposes 30:16 - Matrices are like functions 34:25 - Exercise: Repeat-three-two 38:16 - Outro Get started with W&B: http://wandb.me/intro Follow us: Twitter: http://twitter.com/weights_biases Linkedin: https://www.linkedin.com/company/weig... Check out Fully Connected, which features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, industry leaders sharing best practices, and more: https://wandb.ai/fully-connected

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