GitHub

Python Machine Learning book code repository

IMPORTANT NOTE (09/21/2017): This GitHub repository contains the code examples of the 1st Edition of Python Machine Learning book. If you are looking for the code examples of the 2nd Edition, please ...
IEEE

AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias

Abstract: Fairness is an increasingly important concern as machine learning models are used to support decision making in high-stakes applications such as mortgage lending, hiring, and prison ...
IEEE

Introduction to astroML: Machine learning for astrophysics

Abstract: Astronomy and astrophysics are witnessing dramatic increases in data volume as detectors, telescopes and computers become ever more powerful. During the last decade, sky surveys across the ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

With the accelerating pace of urbanization, the issue of air pollution has become increasingly severe. Notably, carbon monoxide (CO), as a prevalent harmful gas, poses potential threats to both human ...
note

Chapter 4 "First Statistical Tests"

Chapter 4 "First Statistical Tests"Author of the book: Dr. Sadao IshimuraThis article covers the "Introduction to Statistical Analysis" Chapter 4 "First Statistical Tests" Python copying activity.This ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
Scientific Research Publishing

Enhancing Data Analysis and Automation: Integrating Python with Microsoft Excel for Non-Programmers ()

Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and ...
Nature

Inferring cellular and molecular processes in single-cell data with non-negative matrix factorization using Python, R and GenePattern Notebook implementations of CoGAPS

Non-negative matrix factorization (NMF) is an unsupervised learning method well suited to high-throughput biology. However, inferring biological processes from an NMF result still requires additional ...
Nature

Segmentation metric misinterpretations in bioimage analysis

In today’s scientific environment, with an increasing attention on artificial intelligence solutions for imaging problems, a plethora of new image segmentation and object detection methods have ...
GitHub

Python Machine Learning By Example

This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Moving ahead, you will learn all the important concepts such as, exploratory ...