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

Scikits are Python-based scientific toolboxes built around SciPy, the Python library for scientific computing. Scikit-learn is an open source project focused on machine learning: classification, ...

Python has become the go-to language for data science thanks to its simplicity, flexibility, and massive library ecosystem. From data preprocessing to creating visualizations and building predictive ...

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.

Over the past year I’ve reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and ...

Overview Structured Python learning path that moves from fundamentals (syntax, loops, functions) to real data science tools like NumPy, Pandas, and Scikit-learn ...