Remove Computer Science Remove ML Remove Natural Language Processing
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QR codes in AI and ML: Enhancing predictive analytics for business

Dataconomy

In the field of AI and ML, QR codes are incredibly helpful for improving predictive analytics and gaining insightful knowledge from massive data sets. The applications of AI span diverse domains, including natural language processing, computer vision, robotics, expert systems, and machine learning.

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Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

AWS Machine Learning Blog

By offering real-time translations into multiple languages, viewers from around the world can engage with live content as if it were delivered in their first language. In addition, the extension’s capabilities extend beyond mere transcription and translation. Chiara Relandini is an Associate Solutions Architect at AWS.

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Machine Learning and Language (ML²) at CDS: Moving NLP Forward

NYU Center for Data Science

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. A Vision for ML² In the beginning, ML² was simply the hub for NLP research at NYU.

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Natural Language Processing with R

Heartbeat

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

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The NYU AI School Returns Summer 2023

NYU Center for Data Science

The free week-long course was launched and generously funded by the NYU ML² Machine Learning for Language Lab and organized by students from the CDS and NYU’s Courant Institute. It includes hands-on labs and lectures taught by renowned researchers in the fields of artificial intelligence and machine learning.

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Understanding Natural Language Processing — Sentiment Analysis

Mlearning.ai

Introduction Natural language processing (NLP) sentiment analysis is a powerful tool for understanding people’s opinions and feelings toward specific topics. NLP sentiment analysis uses natural language processing (NLP) to identify, extract, and analyze sentiment from text data.

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AI Cybersecurity —  Replacement for Specialists or Efficiency Booster?

Dataconomy

Artificial Intelligence (AI) is a field of computer science focused on creating systems that perform tasks requiring human intelligence, such as language processing, data analysis, decision-making, and learning. Since DL falls under ML, this discussion will primarily focus on machine learning.

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