Welcome to the course! These modules will teach you the fundamental building blocks and the theory necessary to be a responsible machine learning practitioner in your own community. Each module focuses on accessible examples designed to teach you about good practices and the powerful (yet surprisingly simple) algorithms we use to model data.
Click on any module to get started learning!
Click on any module to get started learning!
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Code Labs:
All the code labs that accompany these slides can be found here.
All the code labs that accompany these slides can be found here.
This curriculum and code repository was put together by: Sara Hooker, Amanda Su, Brian Spiering, Hannah Song, Melissa Fabros, Kevin Pan, Jack Pfieffer, Rosina Norton, Thuongvu Ho, Mario Carrillo, Parikshit Sharma, Sydney Wong, and Lina Huang.
Delta Analytics is a 501(c)(3) non-profit. We are entirely volunteer run and all of our educational resources are available for free. We aim to build technical capacity all around the world.
Learn more about our teaching fellows program here. Please email inquiry@deltanalytics.org to inquire about fair use of these materials and partnering with us.
Delta Analytics is a 501(c)(3) non-profit. We are entirely volunteer run and all of our educational resources are available for free. We aim to build technical capacity all around the world.
Learn more about our teaching fellows program here. Please email inquiry@deltanalytics.org to inquire about fair use of these materials and partnering with us.
Help us by giving us feedback on new material!
We are continuously beta testing additional material. Would you like to help us? We would love to get your input on the in-progress modules below. All you need to do is click through to the google deck and add your feedback as comments on a given slide. All feedback small and large is appreciated.
We are continuously beta testing additional material. Would you like to help us? We would love to get your input on the in-progress modules below. All you need to do is click through to the google deck and add your feedback as comments on a given slide. All feedback small and large is appreciated.
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