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Top 10 blogs on NLP in Analytics Vidhya 2022

Analytics Vidhya

Introduction Natural language processing (NLP) is a field of computer science and artificial intelligence that focuses on the interaction between computers and human (natural) languages. Natural language processing (NLP) is […].

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What's the Difference Between Natural Language Processing and Machine Learning?

Flipboard

Key Takeaways Machine learning and … These two terms are at the core of the generative AI revolution, but what do they mean, and how do they differ?

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The simple source of complex machine learning

Dataconomy

Conjunctive normal form (CNF) stands as a critical puzzle piece for artificial intelligence and machine learning applications. Conjunctive normal form, which is actually a mathematical theorem, has been helping us for years to process complicated data. But why is CNF so indispensable?

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11 NLP Use Cases: Putting the Language Comprehension Tech to Work

Flipboard

Natural Language Processing (NLP), which encompasses areas such as linguistics, computer science, and artificial intelligence, has been developed to understand better and process human language. In simple terms, it refers to the technology that allows machines to understand human speech.

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7 steps to master large language models (LLMs) 

Data Science Dojo

Large language models (LLMs) have revolutionized the field of natural language processing (NLP), enabling machines to generate human-quality text, translate languages, and answer questions in an informative way. It encompasses tasks like machine translation, text summarization, and sentiment analysis.

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Community Spotlight: Dr. Helen Yannakoudakis

DrivenData Labs

I work on machine learning for natural language processing, and I’m particularly interested in few-shot learning, lifelong learning, and societal and health applications such as abuse detection, misinformation, mental ill-health detection, and language assessment. Data science is a broad field.

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QR codes in AI and ML: Enhancing predictive analytics for business

Dataconomy

This article examines the important connection between QR codes and the domains of artificial intelligence (AI) and machine learning (ML), as well as how it affects the development of predictive analytics. So let’s start with the understanding of QR Codes, Artificial intelligence, and Machine Learning.