Machine Learning Vs Artificial Intelligence: What's Difference?
Head-to-Head Comparison: Goal
ML seeks to improve and give accurate results by training machines with data, whereas AI seeks to create machines capable of thinking like humans and solving complex problems.
AI has a wide scope, including natural language processing, robotics, and expert systems, whereas ML scope is limited, including random forests, k-means, decision trees, and support vector machines.
ML requires basic skills such as mathematics, data modeling, algorithms, probability, statistics, etc., while AI requires problem-solving, machine learning, data mining, etc.
AI is concerned with maximizing chances of success, not accuracy, whereas ML is concerned with maximizing the accuracy of predicted output, not the chances of success ratio.