Algorithm Magazine Supervised Learning 
BAIR
APRIL 6, 2023
The use of human teleoperation as a fallback mechanism is increasingly popular in modern robotics companies: Waymo calls it “fleet response,” Zoox calls it “TeleGuidance,” and Amazon calls it “continual learning.” Using this formalism, we can now instantiate and compare IFL algorithms (i.e., allocation policies) in a principled way.
Becoming Human
MARCH 16, 2023
AI began back in the 1950s as a simple series of “if, then rules” and made its way into healthcare two decades later after more complex algorithms were developed. Since the advent of deep learning in the 2000s, AI applications in healthcare have expanded. A few AI technologies are empowering drug design.
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Becoming Human
AUGUST 15, 2023
Introduction In the world of data science and machine learning, logistic regression is a powerful and widely-used algorithm. Logistic regression is a type of supervised learning algorithm. Conclusion In summary, logistic regression is a simple but effective algorithm for binary classification problems.
Becoming Human
MAY 15, 2023
The two most common types of supervised learning are classification , where the algorithm predicts a categorical label, and regression , where the algorithm predicts a numerical value. Unsupervised Learning In this type of learning, the algorithm is trained on an unlabeled dataset, where no correct output is provided.
Becoming Human
MAY 28, 2024
Key takeaways from this research paper: The researchers proposed a new method called CInA (Causal Inference with Attention) that can learn to estimate the effects of treatments by looking at multiple datasets without labels. This allows CInA to generalize to new datasets without retraining.
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