226.Artificial Intelligence and Machine Learning with Christopher Penn

Machine learning is a specific subset of Artificial Intelligence (AI). In my interview with Christopher Penn, who is an IBM Watson Machine Learning Professional, among many other industries, we (barely!) dipped into a bit of his expertise to uncover not only terminology but scale and possibilities of machine learning and AI. AI is a broad term that encompasses the teaching of computers to perform tasks that typically require human intelligence. It includes tasks such as understanding spoken language, processing natural language, and recognizing and comprehending images through computer vision. AI serves as an umbrella term for various technologies and techniques that enable machines to carry out these tasks.

Machine learning refers to the process by which machines learn to perform intelligent AI tasks. It involves training machines using large amounts of data and algorithms that allow them to recognize patterns, make predictions, and improve their performance over time. Machine learning is a key component of AI, enabling machines to acquire knowledge and skills without being explicitly programmed for each specific task. We will discuss types of machine learning, accessibility, ethical issues and opportunity. Full article here: https://goalsforyourlife.com/machine-learning/