Based on our record, Scikit-learn should be more popular than HiveMQ. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Do you have a preference over cloudmqtt.com or hivemq.com? Does Azure this functionality? Source: over 1 year ago
If it's IoT data, I would first send it to a Cloud MQTT Broker (cloudmqtt.com or hivemq.com). These brokers handle the spotty unstable connectivity between themselves and MQTT/IoT devices or clients. Other systems will not handle this instability in connectivity very well. Source: over 1 year ago
HiveMQ | Landshut & Remote from: Germany, UK, Spain, Austria, Switzerland | Site Reliability Engineer / Full Stack Engineer HiveMQ (https://hivemq.com) is providing a highly scalable and reliable MQTT broker that has already been battle-tested by German industry leaders ranging from the automotive and energy industry to major Internet Service providers. Tech stack: Java, VueJS, Kubernetes, AWS/Azure,... - Source: Hacker News / over 2 years ago
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
mosquitto - Eclipse Mosquitto is an open source (EPL/EDL licensed) message broker that implements the MQTT protocol versions 5.0, 3.1.1 and 3.1. Mosquitto is lightweight and is suitable for use on all devices
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
EMQX - EMQX is an open source MQTT 5.0 broker for mission-critical IoT scenarios, massively scalable and highly available clustering, running anywhere from edge to cloud.
OpenCV - OpenCV is the world's biggest computer vision library
RabbitMQ - RabbitMQ is an open source message broker software.
NumPy - NumPy is the fundamental package for scientific computing with Python