👉 Sparables are words that can be used to express multiple ideas or concepts in a single word. They may also serve as synonyms, antonyms, or other related terms. For example: - "He was very cheerful and talked about his new job." - "She is an excellent cook who makes delicious meals for her family." - "The company has been successful in the past, but it will face challenges in the future."
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What is the definition of Sparable? 🙋
👉 A "sparable" is a type of machine learning algorithm that can be trained using either a single or multiple training examples. In other words, it can be used to solve problems with a specific number of parameters and outputs, but only requires one set of input data points. For example, if we have a 10-dimensional vector (input) and want to learn about the relationship between variables X and Y, then using a "sparable" algorithm would require only 2 sets of examples
