Remove Decision Trees Remove Deep Learning Remove Internet of Things
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Exploring the dynamic fusion of AI and the IoT

Dataconomy

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions.

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Where AI is headed in the next 5 years?

Pickl AI

Machine Learning and Neural Networks (1990s-2000s): Machine Learning (ML) became a focal point, enabling systems to learn from data and improve performance without explicit programming. Techniques such as decision trees, support vector machines, and neural networks gained popularity.

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Conversational AI use cases for enterprises

IBM Journey to AI blog

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Rule-based chatbots : Also known as decision-tree or script-driven bots, they follow preprogrammed protocols and generate responses based on predefined rules.

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How to use AI: Everything you need to know

Dataconomy

Several algorithms are available, including decision trees, neural networks, and support vector machines. Existing and future technologies like big data, robotics, and the Internet of Things all have this as their major driver. This data should be relevant, accurate, and comprehensive.