BIOENGINEER

Structured Python Framework Guides Nonprogramming Engineers Through Core Machine Learning Models

A comprehensive Python tutorial outlines an end-to-end framework enabling engineers without programming expertise to ...
FinanceFeeds

Building a Price Prediction Model in Python: A Step-by-Step Guide Using Historical Data and Basic ML Libraries

Build a crypto price model in Python: pull data with yfinance, engineer features, split by date, then test Linear Regression ...
InfoWorld

Review: Scikit-learn shines for simpler machine learning

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, ...
InfoWorld

The best machine learning and deep learning libraries

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 ...
Computerworld

Review: The best frameworks for machine learning and deep learning

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 ...