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Machine Learning

Knowledge graphs are network graphs that link related concepts and properties together to create a form of inferencing engine, with knowledge engineering being the programming aspect of graph usage. Explore how knowledge graphs are created and queried, how they are used as part of a broader form of enterprise metadata management, and how they tie into ML and the IoT.

Influencer marketing concept. Business, Technology, Internet and network concept.

Social Media Sentiment Analysis Using Twitter Datasets

  • Roger Brown 

Several hundreds of thousands of raw data files are uploaded by users every day to social media sites. Online user data provides access to an enormous amount of information regarding products, services, places, and events, which makes it suitable for sentiment analysis. Valuable information can be extracted by analyzing the sentiment of the data.

smart medical technology concept,advanced robotic surgery machin

Challenges to Successful AI Implementation in Healthcare 

  • Roger Brown 

Artificial intelligence (AI) and machine learning (ML) have received widespread interest in recent years due to their potential to set new paradigms in healthcare delivery. It is being said that machine learning will transform many aspects of healthcare delivery, and radiology & pathology are among the specialties set to be among the first to take advantage of this technology. 

Analysis and sorting financial big data, digital visualization i

AlphaTensor and Its Implications for AI, Reinforcement Learning, and Science

  • ajitjaokar 

The issue is not just the actual multiplication but the fastest method to perform the multiplication. The speeding up of matrix multiplication calculations has a high impact because matrix multiplication is a part of many applications – especially in deep learning and image processing.

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