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Techniques and libraries in Python used to build, train, and deploy machine learning models.
The article from IoT For All, authored by EMQ Technologies Inc., presents a comprehensive overview of strategies to enhance the security of MQTT infrastructure systems. Here are the key strategies outlined: Building a culture of security awareness through employee training, security policies, and regular drills is also emphasized as a […]
Machine Learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computers to perform tasks without being explicitly programmed to perform those tasks. It is essentially a method of training computers to learn from and make decisions based on data. Here is […]
Clustering, the unsupervised learning hero, is a data scientist’s tool for uncovering hidden patterns in data. Imagine it as a detective grouping similar data points into clusters based on their features. But with many algorithms to choose from, which one should you employ? This article breaks down the top 10 […]
Debezium is an open-source distributed platform that turns your existing databases into event streams so that applications can see and respond almost instantly to each committed row-level change in the databases. Debezium is built on top of Kafka and provides Kafka Connect compatible connectors that monitor specific database management systems. Debezium records the history […]