Microsoft updated its machine ... learning models in those apps. Heading the highlights of ML.NET 2.0 are new APIs for working with text, specifically one that enables a new text classification ...

Identify The Problem To Solve And Test Assumptions The most essential step in creating an effective machine learning model is to identify ... the-art models just an API call away.

The result is a machine learning framework that is easier to work with—for example, by using the relatively simple Keras API for model training ... in TensorFlow—creating nodes and layers ...

This sample application shows how to use Amazon Mechanical Turk to create a labeled dataset from raw tweets, and then build a machine learning model using the Amazon Machine Learning API that predicts ...

Source code for the tutorial 'Deploying a machine learning model with a Flask API' written for HyperionDev. In this tutorial we take the image classification model built in model.py which recognises ...

Microsoft has released the 0.6 version of its ML.Net machine learning framework, aimed at .Net developers. The update adds a new and more useful model-building API set, the ability to use more ...