To build a chatbot, you can take a machine learning approach or a linguistic rules-based approach. Here are the pros and cons of each. “It gets better over time” may be the leading slogan for ...

But data used to train machine-learning models are typically labeled descriptively — meaning humans are asked to identify factual features, such as, say, the presence of fried food in a photo. If ...

There are two ways data can be manipulated—either through rules or machine learning—to achieve AI, and some best practices to help you choose between the two methods. Rules-based systems ...

Following Rules Might be Better than Machine Learning Aug. 15, 2018 Though machine learning is often effective for many applications, it’s not always the solution.

Search Engine Land » PPC » 4 new rules for PPC ad creative Share Aside from audience targeting and bid optimization, here's how advertisers can leverage machine learning to enhance the creative ...

Machine learning models must then try to understand the question, contextualize it and figure out the most accurate response. Delivering a high-quality response is actually harder than it seems.

However, by the late 1970s, there was disappointment that the two main approaches to computing in medicine — rule-based systems and matching, or pattern recognition, systems — had not been as ...

This team has developed a machine-learning system capable of deciphering lost languages, and they’ve demonstrated it by having it decipher Linear B—the first time this has been done automatically.