Machine learning’s impact on technology is significant, but it’s crucial to acknowledge the common issues of insufficient training and testing data.

While less common, some companies building AI tools and machine-learning models don't automatically opt-in customers. “We do not train our models on user-submitted data by default.

To make the most of machine learning you have to train your models right. Here's how to get reliable results from your data.

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

Want to learn how to become a machine learning engineer? Use our guide to discover the career path and requirements for machine learning engineers.

For example, by starting with an ImageNet classifier, researchers in Bangalore, India, used transfer learning to train a model to locate kidneys in ultrasound images using only 45 training examples.