IAM Platform Curates Today’s Trending Topics | Machine Learning

IAM Platform Professionals get the research done to present the content you need to stay fresh and relevant. These sources are carefully curated for you by hand to allow you to stay at the cutting edge of Machine Learning.  Enjoy!

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as “training data“, in order to make predictions or decisions without being explicitly programmed to perform the task. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop a conventional algorithm for effectively performing the task.

Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a field of study within machine learning, and focuses on exploratory data analysis through unsupervised learning. In its application across business problems, machine learning is also referred to as predictive analytics.

CITATION: Wikipedia contributors. (2020, March 8). Machine learning. In Wikipedia, The Free Encyclopedia. Retrieved 09:34, March 13, 2020, from

Learn more about Machine Learning on Wikipedia.