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Streaming Machine Learning Without a Data Lake

ODSC - Open Data Science

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.

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Machine Learning with MATLAB and Amazon SageMaker

Flipboard

First, we extract features from a subset of the full dataset using the Diagnostic Feature Designer app, and then run the model training locally with a MATLAB decision tree model. You can set up and train a simple decision tree classifier locally. We start by training a classifier model on our desktop with MATLAB.

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Predicting the Future of Data Science

Pickl AI

Real-Time Data Processing The demand for real-time analytics is growing as businesses seek immediate insights to drive decision-making. Apache Kafka), organisations can now analyse vast amounts of data as it is generated. With the advent of technologies like edge computing and stream processing frameworks (e.g.,

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Big Data Syllabus: A Comprehensive Overview

Pickl AI

Data Streaming Learning about real-time data collection methods using tools like Apache Kafka and Amazon Kinesis. Key topics include: Supervised Learning Understanding algorithms such as linear regression, decision trees, and support vector machines, and their applications in Big Data.