The European Union (EU) has proposed a first-ever comprehensive legislative package to regulate artificial intelligence (AI). As The National Law Review reports, the Artificial Intelligence Act (AIA) will “establish a […]
Tag Archives | machine learning
New Method Could Help Machine Learning Models Make Better Decisions
Machine learning models often rely on the simple features of a dataset to make decisions. Known as “shortcuts,” these types of decisions can lead to serious errors. For example, these […]
Four Reasons Machine Learning Models Fail and How to Fix Them
Machine learning is a branch of artificial intelligence (AI) in which algorithms are trained to get better at solving problems on their own, similar to the functionality of a human […]
Four Ways to Build MLOps that Avoid “Data Drift” in Machine Learning
Organizations are increasingly adopting machine learning, a type of artificial intelligence that allows software applications to get better at predicting outcomes on their own. While these models can help businesses […]
Recommendations for Developing Machine Learning Operations (MLOps)
Algorithms that automatically learn and improve decision-making without additional training use a process known as machine learning (ML), a field that represents a rapidly developing branch of artificial intelligence (AI). […]
Four Machine Learning Questions Organizations Should Ask
Machine learning can deliver major benefits for organizations looking to scale their operations, especially those who continue to experience disruptions from the COVID-19 pandemic. However, there are plenty of challenges […]
What is ‘Causal Inference’ and Why is it Key to Machine Learning?
Unlike human beings, machine learning algorithms are bad at determining what’s known as ‘causal inference,’ the process of understanding the independent, actual effect of a certain phenomenon that is happening […]
Is “Liquid Learning” the Next Revolution in Machine Learning?
A new type of machine learning known as “liquid learning” can rapidly adapt to changes in its data stream and environment, rather than only learning while it’s being trained. Developed […]
Machine Learning vs. Deep Learning: What’s the Difference?
In recent years, artificial intelligence (AI) applications have exploded in popularity. A few examples include text editors, facial recognition systems, digital assistants, and much more. Simply put, AI is the […]
Machine Learning Boasts Big Promises, But Still Contains a Major Weakness
Recently, MIT researchers used machine learning—computer algorithms that automatically learn and get better over time—to predict that a number of COVID-19 vaccines currently in development may not adequately protect people […]