AWS DeepComposer
AWS DeepLens
AWS DeepRacer
Amazon CodeGuru
Amazon Comprehend
Amazon SageMaker
Amazon Forecast
Lobe
Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
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AWS DeepComposer Scikit-learnBased on our record, Scikit-learn seems to be a lot more popular than AWS DeepComposer. While we know about 28 links to Scikit-learn, we've tracked only 2 mentions of AWS DeepComposer. 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.
AWS provides various services for Machine Learning and Artificial Intelligence, including Amazon SageMaker, AWS DeepLens, AWS DeepComposer, Amazon Forecast and more. Familiarize yourself with the services available to determine which ones suit your specific needs. - Source: dev.to / 4 months ago
With AWS DeepComposer, you get an AI-enabled keyboard that transforms your melodies into unique songs with the help of Machine Learning models. While this goes astray of the well-known way artists create music, it can lead to new songwriting ways. - Source: dev.to / about 3 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 / 2 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: 12 months 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
AWS DeepLens - Deep learning enabled video camera for developers
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
AWS DeepRacer - A 1/18th scale race car to learn machine learning 🚗
OpenCV - OpenCV is the world's biggest computer vision library
Amazon CodeGuru - Amazon CodeGuru is a machine learning service for automated code reviews and application performance recommendations.
NumPy - NumPy is the fundamental package for scientific computing with Python