Developing Wise Espresso Uses with the use of Neural Platforms, Using the Neuroph Platform

Artificial neural networks provide solutions for ill-defined problems including recognition, such as image, character, and gesture; forecasting, such as stock market prediction; and optimization, such as JVM parameters. This session introduces the Neuroph Java open source neural network framework and shows how to use it, via demos and code samples. The session is intended for developers interested in artificial intelligence and the problems outlined above. You can learn more at:
You will learn about
• The Java neural network framework Neuroph and its features and development
• Solving problems by using neural networks
• Using neural networks for image recognition, stock market prediction, and JVM tweaking
• Why and how Neuroph moved to the NetBeans platform and the resulting gains

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Developing a The right time Series Prediction Product by having parsnip & XGBoost | two (2) of two

The 2nd part of a tutorial from the #Shiny Web Apps Course – This video is from the Demand #Forecast section where our students build a predictive model to forecast sales demand with #parsnip & #XGBoost. Learn more:

Get the ML Cheat Sheet with XGBoost Hyperparameters here:

Developing Potential sales Projecting Model with RapidMiner

Rapidminer 5.0 Video Tutorial #8 - Financial Time Series Data Exploration

In this video I show the viewer how to use Rapid Miner’s Time Series plugin to explore time series data. This is a prep for videos #9 and #10 that will teach the viewers how to make financial time series predictions.
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