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Master Natural Language Processing in 2022 with Best Resources

Analytics Vidhya

Source – eyesight Introduction Natural Language Processing is one of the most popular subdomains of Artificial Intelligence. NLP technologies focus on teaching the machines how to interpret the human language and mimic and understand and generate it. It is no rocket science how your grammatical […].

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Transfer Learning for Image Recognition and Natural Language Processing

KDnuggets

Read the second article in this series on Transfer Learning, and learn how to apply it to Image Recognition and Natural Language Processing.

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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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Roadmap to Master NLP in 2022

Analytics Vidhya

Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?” The post Roadmap to Master NLP in 2022 appeared first on Analytics Vidhya. ” Then I began to write a brief response.

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Top 10 AI and Data Science Trends in 2022

Analytics Vidhya

In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Deep learning, natural language processing, and computer vision are examples […]. Times change, technology improves and our lives get better.

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Advancements in NLP in 2022

Analytics Vidhya

Introduction There have been many recent advances in natural language processing (NLP), including improvements in language models, better representation of the linguistic structure, advancements in machine translation, increased use of deep learning, and greater use of transfer learning.

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Innovation Unleashed: The Hottest NLP Technologies of 2022

Analytics Vidhya

Introduction There have been many recent advances in natural language processing (NLP), including improvements in language models, better representation of the linguistic structure, advancements in machine translation, increased use of deep learning, and greater use of transfer learning.