Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

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ML ML Machine Learning Machine Learning 121

AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. In addition to several exciting announcements during keynotes, most of the sessions in our track will feature generative AI in one form or another, so we can truly call our track “Generative AI and ML.”

AWS 122

AWS ML ML AI 122

AWS Machine Learning Blog

JUNE 13, 2023

Solution overview A modern data architecture on AWS applies artificial intelligence and natural language processing to query multiple analytics databases. Finance and Investments Snowflake Which stock performed the best and the worst in May of 2013? Sovik Kumar Nath is an AI/ML solution architect with AWS.

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Database SQL AWS AI 79

AWS Machine Learning Blog

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language. Nitin Eusebius is a Sr.

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SQL Database AI AI 130

Mlearning.ai

APRIL 1, 2023

NLP A Comprehensive Guide to Word2Vec, Doc2Vec, and Top2Vec for Natural Language Processing In recent years, the field of natural language processing (NLP) has seen tremendous growth, and one of the most significant developments has been the advent of word embedding techniques.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Clustering 52

AWS Machine Learning Blog

FEBRUARY 2, 2024

Embeddings capture the information content in bodies of text, allowing natural language processing (NLP) models to work with language in a numeric form. This notebook pulls the models from the SageMaker JumpStart ML hub and deploys them to two separate SageMaker real-time endpoints.

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AWS Clustering ETL Database 108

ML Review

FEBRUARY 26, 2018

Following its successful adoption in computer vision and voice recognition, DL will continue to be applied in the domain of natural language processing (NLP). ACM, 2013: 2333–2338. [2] 2] Minghui Qiu and Feng-Lin Li. MeChat: A Sequence to Sequence and Rerank based Chatbot Engine. AAAI Press, 2014: 1586–1592.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52