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Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

By training on many different examples of particular categories of objects (e.g., lots of single images of different cats), we can learn enough about the expected 3-D structure of objects to create a 3-D model from just a single image of a novel category (e.g., just a single image of your cat, as shown in the LOLCats clips below).

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

There are majorly two categories of sampling techniques based on the usage of statistics, they are: Probability Sampling techniques: Clustered sampling, Simple random sampling, and Stratified sampling. Data is said to be highly imbalanced if it is distributed unequally across different categories. Why do we need selection bias?