Description: This article introduces SymPy, a computer algebra system (CAS) for the Python programming language.

Description: An exploration of moving predictive modeling capabilities in R to real time operations.

Description: An article about redefining risk management, written entirely by ChatGPT.

Description: This article discusses how to handle semisupervised data. This type of data might have a large number of observations, yet a small number of labels.

Description: Bring your laptop to experience this deep learning neural network tool offered free from Google.

Description: Basic feature engineering uses input data to create dummy variables, log transforms, and other single-value transformations. This talk builds upon these univariate transformations and presents several strategies for creating complex multivariate features that can enhance your model's lift. Topics such as target encoding, dimension reduction/projection, row/column, and other feature engineering topics will be covered.

Description: Neural networks have fallen only to rise again twice. The latest incarnation borrows much from the past but adds elements to support deep learning. This article demonstrates the state of the art in deep neural network programming.

Description: This article shows how to use a RBF Neural network to predict if a breast tumor is malignant. The network is trained using a genetic algorithm that uses C# multi-threading.

Description: Agent based modeling is a technique that can be used to predict complex interactions between individuals in an artificial environment. This article provides an introduction to Repast Py.

Description: The author presents autoencoders in a clear manner and then goes on to show an intriguing application where an autoencoder can alert us to events out of the ordinary.