Learning Log: Learning AI While Building AI with AI #1 | First, Implementing the Basics of Machine Learning, 'Linear Regression', in Python

While generative AI like ChatGPT has become a part of our daily lives, perhaps surprisingly few people truly understand the ...

5 Practical Books for Python Machine Learning

Introduction I first started working with machine learning in earnest when I took on a small project to classify internal inquiry logs. I managed to get scikit-learn code running by piecing together ...
techtarget

Regression in machine learning: A crash course for engineers

Finding relationships among data is an important skill for any business professional. Understanding cause-and-effect relationships can be the critical factor when it comes to wasted time, lost profits ...
Visual Studio Magazine

Regression Using scikit Kernel Ridge Regression

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex, age, State where they live and ...
InfoWorld

The engines of AI: Machine learning algorithms explained

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...