Machine Learning - Transforming Healthcare, Episode 8 Part 1

Artificial intelligence is a technology that permits the machine to simulate human behavior.

Machine learning is a subfield of AI that allows a machine to automatically learn from past data without programming.

Machine learning learns and predicts based on passive observation, whereas artificial intelligence implies an agent interacting with the environment to learn and take actions that maximize its chance of successfully achieving its goals.

Present day machine learning has two purposes: classify data based on models which have been developed, and make predictions about future outcomes.

A hypothetical algorithm specific to classifying data may use computer vision of moles coupled with supervised learning to train it to classify cancerous moles.

Machine learning has proven valuable because it can solve problems at a speed and scale that can't be duplicated by the human mind alone.

With massive computational ability, machines can be trained to identify patterns in and relationships between input data and automate routine processes.