Another Turing Machine vs Art of Stat

Unlock the power of computation with this Turing Machine, a fully featured Turing machine simulator designed for learning, experimentation, and analysis. Key Features: - Single or Multi-Tape Support – Run programs on one or multiple tapes for complex simulations. - Flexible Alphabets – Use binary or decimal numbers or letters - Step-by-Step Execution – Watch the machine in action as it moves and modifies the tapes. - Share Your Programs – Export and share your Turing machine programs with others. - Generate PDF Reports – Save and share reports including your configuration, program logic, and execution results. Whether you're a student, researcher, or enthusiast exploring the fundamentals of computation, this Turing Machine provides an intuitive and powerful way to experiment with Turing machines. Download now and start exploring the world of theoretical computing!

The Art of Stat: Machine Learning app includes methods for supervised and unsupervised learning, lets you split data into training and test sets, visualizes all methods, including predictions and heatmaps, and lets you assess the accuracy of your algorithm by showing the confusion matrix and more. Included ML algorithms so far include: - Multiple Linear Regression (including categorical predictors and interactions interactions) - Multiple Logistic Regression (including categorical predictors and interactions interactions) - Discriminant Analysis (Linear & Quadratic) - Naive Bayes - K-Means Clustering Functionality: - Provides various datasets (Palmer Penguins, Wine Quality, Heart Disease, Iris Flowers, Credit Card Defaults, ...) or lets user upload their own CSV file - Split data into training and test sets - Standardize Features - Select continuous and/or categorical features (where appropriate) - Visualize all methods (Scatterplots, Heatmaps), predicted labels or posterior probabilities - Assess accuracy by displaying Confusion Matrix and accuracy statistics (including precision and recall) in multiple ways - Make predictions for new observations Modules in preparation: - Decision Trees & Random Forests - Nearest Neighbor