Second edition). Sebastopol, CA: O’Reilly Media\n", "1. Muller, A and Guido, S (2017). Introduction to Machine Learning with Python. O'Reilly\n", "1. B. Shmueli. Matthews Correlation Coefficient is ...

What does it mean when machines start thinking for themselves? We’ll break down the concept of machine learning and how it’s reshaping our world.

Curious about the buzz around AI breakthroughs and wondering how to dive in? Don’t worry—you can start with a bit of ...

The Machine Learning for High School Teachers (ML4HST) is a 4 day long professional development workshop hosted at the University of Wyoming campus that trains 8 – 12th grade teachers on how to ...

The huge amount of genomic data can be analyzed and interpreted by machine learning techniques. This course introduces basic concepts of machine learning models and demonstrates how these models can ...

Before you dive into the advanced topics and applications of machine learning, you need to have a solid foundation of the basic principles and techniques. You should be familiar with the concepts ...

This repository contains implementations of basic machine learning algorithms in plain Python (Python Version 3.6+). All algorithms are implemented from scratch without using additional machine ...

In addition, this presentation will explore the basic concepts of machine learning classification in the context of HTP assays such as Cell Painting. Attendees will gain a basic foundational knowledge ...

Students in other majors at UNG in which a minor is an option can complete this minor as well. The Machine Learning Minor will include concepts of machine learning algorithms and offers hands-on ...