Remove 2017 Remove Internet of Things Remove Natural Language Processing
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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

It uses natural language processing (NLP) techniques to extract valuable insights from textual data. IoT analytics: IoT (Internet of Things) analytics deals with data generated by IoT devices, such as sensors, connected appliances, and industrial equipment.

Analytics 203
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2021 in Review: What Just Happened in the World of Artificial Intelligence?

Applied Data Science

Transformers taking the AI world by storm The family of artificial neural networks (ANNs) saw a new member being born in 2017, the Transformer. Initially introduced for Natural Language Processing (NLP) applications like translation, this type of network was used in both Google’s BERT and OpenAI’s GPT-2 and GPT-3.

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The effectiveness of clustering in IIoT

Mlearning.ai

Industrial Internet of Things (IIoT) The Constraints Within the area of Industry 4.0, Industrial internet of things (IIoT): opportunities, challenges, and requirements in manufacturing businesses in emerging economies. 3 feature visual representation of a K-means Algorithm. 4, center_box=(20, 5)) model = OPTICS().fit(x)

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Behind the Chat: How E-commerce Robot Assistant AliMe Works

ML Review

Technology companies such as Google, Facebook, Microsoft, Amazon and Apple are at the forefront of personalized interactive products where intelligent human-computer interactions (IHCI) technology will continue to play a central role in automated messaging, task assistance and the Internet of Things. ACM, 2013: 2333–2338. [2]