Amazon Monitron
AWS Personalize
Azure IoT Hub
Google Recommender API
Microsoft Azure Recommendations
AWS Greengrass
RecoMind.io
Amazon Polly
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
Amazon MonitronBased on our record, NumPy seems to be a lot more popular than Amazon Monitron. While we know about 107 links to NumPy, we've tracked only 2 mentions of Amazon Monitron. 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.
Amazon Kinesis Data Streams (hereafter referred to as KDS) is a managed data processing service designed for the real-time collection of high traffic of data and facilitating its transfer to subsequent AWS services. It is particularly suited for handling streaming data, such as logs, where order matters, making it a commonly used service for IoT data collection. For example, it can be specified as the data export... - Source: dev.to / 3 months ago
Amazon Monitron is an end-to-end system that automatically detects abnormal behavior in industrial machinery, enabling you to take proactive action on potential failures and reduce unplanned downtime. - Source: dev.to / about 3 years ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 2 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
AWS Personalize - Real-time personalization and recommendation engine in AWS
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Azure IoT Hub - Manage billions of IoT devices with Azure IoT Hub, a cloud platform that lets you easily connect, monitor, provision, and configure IoT devices.
OpenCV - OpenCV is the world's biggest computer vision library
Google Recommender API - Google Recommender API is a service on Google Cloud that provides usage recommendations for Google Cloud resources.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.