How-To Geek on MSN
I thought you needed advanced math to build machine learning models, but I was wrong
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, ...
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Master k-means clustering in Python like a pro
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.
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 ...
Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.
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