Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Machine learning isn’t a single approach—it’s a collection of different techniques used for solving different problems, says Peter Jeffcock, director of big data product marketing at Oracle.

One example is email filtering for spam-detection, where data labeled as non-spam and spam email are used for training and testing the AI deep learning classification algorithm.

Machine learning interview questions now focus on both theory and real-world applications.Understanding basics like ...

Machine learning (ML) is the study of computer systems that automatically improve with experience, a hot topic in the last few years, but a concept that's been ...

Reinforcement machine learning Chess would be an excellent example of this type of algorithm. The program knows the rules of the game and how to play, and goes through the steps to complete the round.

Machine learning is a field of artificial intelligence (AI) that keeps a computer’s built-in algorithms current regardless of changes in the worldwide economy. Key Takeaways ...

Machine Learning: A field of artificial intelligence, focused on the creation of algorithms, models and systems to perform tasks and generally to improve upon themselves in performing that task ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as ...