A Guide to River – A Python Tool For Online Learning

What if you want to do machine learning with the data that is in motion? What if you wish to train machine learning models on real-time data? The answer is Online Machine Learning
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What if you want to do machine learning with the data that is in motion? What if you wish to train machine learning models on real-time data? Online Machine Learning, also known as Incremental machine learning, is a method of executing machine learning with data that is in motion. In contrast to real-time online machine learning, in this post, we will look at how streaming data can be leveraged to do state-of-the-art machine learning tasks. We will also discuss a python library, River, with its implementation on online machine learning.  The following outlined points will be discussed.  Table of Contents Batch Learning Vs Online LearningPython Libraries for Online Machine LearningStream Learning with River Let’s start the discussion by knowing the difference between batch lear
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Vijaysinh Lendave
Vijaysinh is an enthusiast in machine learning and deep learning. He is skilled in ML algorithms, data manipulation, handling and visualization, model building.
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