Quants and financial data scientists use MATLAB^® to develop and deploy various machine learning applications in finance, including algorithmic trading, asset allocation, sentiment analysis, credit analytics, and fraud detection. MATLAB makes machine learning easy with:

• Point-and-click apps for training and comparing models
• Automatic hyperparameter tuning and feature selection to optimize model performance
• The ability to use the same code to scale processing to big data and clusters
• Automated generation of C/C++or GPU code for embedded and high-performance applications
• All popular classification, regression, and clustering algorithms for supervised and unsupervised learning
• Faster execution than Python^® and R on most statistical and machine learning benchmarks