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, ...
朝日新聞社

一般社団法人Pythonエンジニア育成推進協会：第22回「scikit-learnの ...

一般社団法人Pythonエンジニア育成推進協会はコラム「第22回「scikit-learnの使い方（8）モデルの評価」」を公開しました。 こんにちは、小澤です。 今回は、分類モデルの評価指標の中でも特に重要な「カテゴリごとの分類精度」「予測確率の正確さ ...
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 ...
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 ...
Visual Studio Magazine

Gaussian Process Regression Using the scikit Library

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...
Visual Studio Magazine

Binary Classification Using a scikit Neural Network

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 ...
Deep Learning with Yacine on MSN

Visualizing high-dimensional data using PCA in Scikit-Learn

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...