Explore live open-source projects and AI models.

A complete daily plan for studying to become a machine learning engineer.

Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers

A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights Merge branch 'main' into 1862-Add-Travis-CI-migration-table 1862-Add-Travis-CI-migration-table (#1869, Iixixi/ZachryTylerWood#102, THEBOLCK79/docs#1, sbnbhk/docs#1) @martin389 martin389... Read more

A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must-read for ML practitioners and Software Engineers Transitioning into ML.

An ANN is a model based on a collection of connected units or nodes called "artificial neurons", which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit information, a "signal", from one artificial neuron to another. An artific... Read more

Sample scripts of "Machine Learning for Software Engineers"

📖 machine-learning-for-software-engineers 繁體中文翻譯計畫。原作者：https://github.com/ZuzooVn/machine-learning-for-software-engineers

Over the past decade, bicycle-sharing systems have been growing in number and popularity in cities across the world. Bicycle-sharing systems allow users to rent bicycles on a very short-term basis for a price. This allows people to borrow a bike from point A and return it at point B, though they ... Read more