Machine learning sounds math-heavy, but modern tools make it far more accessible. Here’s how I built models without deep math ...

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep learning ...

Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial. A binary ...

K-means clustering is one of the most approachable unsupervised learning techniques for finding patterns in unlabeled data. With Python’s scikit-learn and pandas, you can prepare, model, and evaluate ...

Spam filtering, face recognition, recommendation engines — when you have a large data set on which you’d like to perform predictive analysis or pattern recognition, machine learning is the way to go.