Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Plan is to contribute two new chapters:
1) Practical considerations when operationalizing ML (supervised learning)
2) Automated Machine Learning (with examples drawn from AutoGluon)
Plan is to contribute two new chapters: 1) Practical considerations when operationalizing ML (supervised learning) 2) Automated Machine Learning (with examples drawn from AutoGluon)
Link to repo where edits will be made: https://github.com/jwmueller/d2l-en/tree/practice-auto