Ramakrishnan, R. (2022). How to build good AI solutions when data is scarce: Data-efficient AI techniques are emerging, and that means you don't always need large volumes of labeled data to train AI systems based on neural networks ([First edition].). MIT Sloan Management Review.
Style de citation Chicago (17e éd.)Ramakrishnan, Rama. How to Build Good AI Solutions When Data Is Scarce: Data-efficient AI Techniques Are Emerging, and That Means You Don't Always Need Large Volumes of Labeled Data to Train AI Systems Based on Neural Networks. [First edition]. [Cambridge, Massachusetts]: MIT Sloan Management Review, 2022.
Style de citation MLA (8e éd.)Ramakrishnan, Rama. How to Build Good AI Solutions When Data Is Scarce: Data-efficient AI Techniques Are Emerging, and That Means You Don't Always Need Large Volumes of Labeled Data to Train AI Systems Based on Neural Networks. [First edition]. MIT Sloan Management Review, 2022.