A new guide from Dataiku covers machine learning basics. According to Google Trends, interest in the term machine learning (ML) has increased over 300 percent since Dataiku was founded in 2013. We’ve ...

See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Machine learning has a wide range of applications in the finance, healthcare, marketing and transportation industries. It is used to analyze and process large amounts of data, make predictions, and ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

Imagine that your neighbor calls to ask a favor: Could you please feed their pet rabbit some carrot slices? Easy enough, you’d think. You can imagine their kitchen, even if you’ve never been there — ...

Machine learning has been used to create value in various ways across a broad swath of industries. In this case, students will explore uses for machine learning in the context of the launch of the ...