Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. As humans we do not know exactly how we learn language: it just happens. Who should I follow?

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Topbots

JANUARY 30, 2023

We are quick to attribute intelligence to models and algorithms, but how much of this is emulation, and how much is really reminiscent of the rich language capability of humans? In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages 5185–5198, Online. 10.48550/arXiv.2212.08120.

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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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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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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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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

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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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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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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