In this post, we’ll look at some exciting books focusing on new research and application areas in Natural Language Processing.
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In this post, we’ll look at some exciting books focusing on new research and application areas in Natural Language Processing.
AI in Marketing: How AI Innovations Are Influencing All Aspects of Marketing. Learn more about it in the blog post.
Top 10 Packt Machine Learning Books to Read in 2021. A Guest Blog post by Sunith Shetty. Learn more in the article.
The Role of AI in Cloud Computing: Humans could monitor breaches within the cloud infrastructure, ML and AI help to automate this process in an impactful way.
How to get Artificial Intelligence to sound less drunk: the GPT-3 case study. Learn more about this topic in the article.
True NLU has a long way to go: Just one of the Natural Language Processing Trends That Impact Enterprises in 2021.
Domain-specific AI isn’t here quite yet, but deep language learning models like BERT and GPT-3 suggest it’s just a matter of time before your niche sees its own transformative AI innovations.
A consolidated list of interesting machine learning research papers that has made some noise during 2020: From NLP to Computer Vision and more.
Biggest Stories in AI: From GPT-3: AI-Generated Text, AlphaFold: Protein Folding to Democratizing Deep Learning, AI Ethics and more.
A Decade Of AI: Be it access to world standard courses, platforms, libraries, frameworks, hardware, this was the decade when AI went mainstream.
How AI and machine learning moved forward in 2020: from the first beta of GPT-3, stricter regulation of AI technologies and conversations around algorithmic bias.
AI milestones: It’s all about language understanding, Models are getting bigger… Artificial Intelligence hit some major milestones in 2020.
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