AWS Machine Learning Blog

MARCH 2, 2023

Hyperparameter optimization is highly computationally demanding for deep learning models. Conclusion In this post, we showed how to use an EKS cluster with Weights & Biases to accelerate hyperparameter grid search for deep learning models. script exists in a Docker image that copies data from Amazon S3 to Amazon EFS.

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The Stanford AI Lab Blog

JANUARY 21, 2022

Deep learning has enabled improvements in the capabilities of robots on a range of problems such as grasping 1 and locomotion 2 in recent years. Indeed, this recipe of massive, diverse datasets combined with scalable offline learning algorithms (e.g. Deep contextualized word representations. Neumann, M.,

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Heartbeat

FEBRUARY 8, 2023

Natural Language Processing (NLP) plays a crucial role in advancing research in various fields, such as computational linguistics, computer science, and artificial intelligence. We’d also do a little NLP project in R with the “sentimentr” package. We pay our contributors, and we don’t sell ads.

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Marek Rei

NOVEMBER 4, 2024

Linguistic Parameters of Spontaneous Speech for Identifying Mild Cognitive Impairment and Alzheimer Disease Veronika Vincze, Martina Katalin Szabó, Ildikó Hoffmann, László Tóth, Magdolna Pákáski, János Kálmán, Gábor Gosztolya. Computational Linguistics 2022. University of Szeged.

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The MLOps Blog

JANUARY 25, 2023

Sentiment analysis, commonly referred to as opinion mining/sentiment classification, is the technique of identifying and extracting subjective information from source materials using computational linguistics , text analysis , and natural language processing. are used to classify the text sentiment. is one of the best options.

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Sebastian Ruder

NOVEMBER 14, 2022

This post is partially based on a keynote I gave at the Deep Learning Indaba 2022. These include groups focusing on linguistic regions such as Masakhane for African languages, AmericasNLP for native American languages, IndoNLP for Indonesian languages, GhanaNLP and HausaNLP , among others. Vulić, I., & Søgaard, A.

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Sebastian Ruder

JANUARY 24, 2022

In mathematics, ML was shown to be able to guide the intuition of mathematicians in order to discover new connections and algorithms [77]. Transformer models have also been shown to be capable of learning mathematical properties of differential systems such as local stability when trained on sufficient amounts of data [78].

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ML Review

MARCH 5, 2019

Word embeddings Visualisation of word embeddings in AI Distillery Word2vec is a popular algorithm used to generate word representations (aka embeddings) for words in a vector space. Then, the algorithm proceeds with the following word as the new centre word, i.e. “learning”, sets up the new context, and repeats the same procedure.

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ODSC - Open Data Science

MARCH 6, 2024

However, breakthroughs in Artificial Intelligence over the years have led to the development of advanced forms of Machine Learning, such as Deep Learning and Reinforcement Learning, which have transformed every industry. Traditionally, Language Models were trained using statistical techniques like N-grams.

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NLP People

JULY 24, 2019

The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) is starting this week in Florence, Italy. NLP, a major buzzword in today’s tech discussion, deals with how computers can understand and generate language. But what is the substance behind the buzz?

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