1. Background and Significance of Public Opinion Monitoring ...

If you are an aspiring data scientist, you may have come across the terms artificial intelligence (AI), machine learning, deep learning and neural networks.

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data scientists should master both supervised ...

A machine learning model is the product of training a machine learning algorithm with training data. In other words, it is the result of a machine learning training process.

Garbage In, Garbage Out Both artificial intelligence and machine learning business use cases need vast amounts of data to train the algorithms. For the most accurate results – the ones that you want ...

Data lakes were built for big data and batch processing, but AI and machine learning models need more flow and third party connections. Enter the data hub concept that'll likely pick up steam.

To us, this seemed a bit puzzling. As we've repeatedly noted, data integration is a prerequisite for analytics, machine learning and AI.

In this view of the future of medicine, patient–provider interactions are informed and supported by massive amounts of data from interactions with similar patients. These data are collected and ...