Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

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

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Discover what data science is, its benefits, techniques, and real-world use cases in this comprehensive guide. Data science merges statistics, science, computing, machine learning, and other domain ...

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.

Material science, at its core, is an interdisciplinary field focusing on the discovery and design of new materials. It combines elements of physics, chemistry and engineering to understand and ...

The new data science title “Hands-On Exploratory Data Analysis with Python,” by Suresh Kumar Mukhiya and Usman Ahmed from Packt Publshing is a welcome addition to the growing list of books directed to ...

Director Diego Klabjan shares the reasons for renaming the MSiA program the Master of Science in Machine Learning and Data Science program Ten years ago, Northwestern Engineering's Master of Science ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Purdue’s innovative Master of Science in Data Science (MSDS) is an accessible, skills-focused master’s designed to meet the needs of professionals who have some background in data science and want to ...