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Online learning is a common technique used in areas of machine learning where it is computationally infeasible to train over the entire dataset, requiring the need of out-of-core algorithms. It is also used in situations where it is necessary for the algorithm to dynamically adapt to new patterns in the data, or when the data itself is ...
The NPTEL has adopted the MOOC (Massive open online course) model so that students outside IIT system can also participate in learning quality content and get certified, provided they meet the assessment criteria in the exams conducted at the end of the NPTEL semesters. All courses are free to enrol and learn from.
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
Some of the DL courses, including the DL-101 are run in more than ten languages as a result of course customization and translation by particular countries. [ 9 ] In 2018, the WIPO Academy launched IP for Youth and Teachers to support national curricula setters, education policy makers and educators to integrate IP, creativity and innovation ...
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Operating on byte-sized tokens, transformers scale poorly as every token must "attend" to every other token leading to O(n 2) scaling laws, as a result, Transformers opt to use subword tokenization to reduce the number of tokens in text, however, this leads to very large vocabulary tables and word embeddings.
Tokenizers, which convert text into tokens. Embedding layer, which converts tokens and positions of the tokens into vector representations. Transformer layers, which carry out repeated transformations on the vector representations, extracting more and more linguistic information. These consist of alternating attention and feedforward layers.
Machine learning algorithms in bioinformatics can be used for prediction, classification, and feature selection. Methods to achieve this task are varied and span many disciplines; most well known among them are machine learning and statistics.