Day: May 12, 2020

AI Azure

Time Series Forecasting with Automated Machine Learning

Building forecasts is an integral part of any business, whether it’s revenue, inventory, sales, or customer demand. Building machine learning models can be a time-consuming and complex with many factors to consider, such as iterating through algorithms, tuning your hyperparameters and feature engineering. These choices multiply with time series data, with additional considerations of trends, […]

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Big Data Developer

Data Processing with .NET for Apache Spark

.NET for Apache Spark empowers developers with .NET experience or code bases to participate in the world of big data analytics. In this episode, Brigit Murtaugh joins Rich to show us how to start processing data with .NET for Apache Spark. Time index: [01:01] – What is Apache Spark? [02:33] – What are customers using […]

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Generative Adversarial Networks in Python
Generative AI Python TensorFlow

Generative Adversarial Networks in Python

GANs (Generative Adversarial Networks) are a set of deep neural network models used to produce synthetic data. The method was developed by Ian Goodfellow in 2014 and is outlined in the paper Generative Adversarial Networks. The goal of a GAN is to train a discriminator to be able to distinguish between real and fake data […]

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Machine Learning

Using ML.NET in a WPF Application

Once upon a time, I did a lot of WPF and XAML. So, it intrigued me when Jon Wood posted a video showing how to add ML.NET in your WPF applications. Code – https://github.com/jwood803/WPF_MLNET/tree/master/WPF_MLNET

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