In this video, we will cover the difference between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).
Artificial Intelligence/Machine learning does not only mean robots or Sci-Fi movies!
Machine learning applications are everywhere! Google search engine, amazon recommender systems, Facebook facial recognition (tagging), Siri.
Artificial Intelligence: Science that empowers computers to mimic human intelligence such as decision making, text processing, and visual perception.
AI is a broader field (i.e.: the big umbrella) that contains several subfield such as machine learning, robotics, and computer vision.
Machine Learning: Machine Learning is a subfield of Artificial Intelligence that enables machines to improve at a given task with experience.
It is important to note that all machine learning techniques are classified as Artificial Intelligence ones. However, not all Artificial Intelligence could count as Machine Learning since some basic Rule-based engines could be classified as AI but they do not learn from experience therefore they do not belong to the machine learning category.
Deep Learning: Deep Learning is a specialized field of Machine Learning that relies on training of Deep Artificial Neural Networks (ANNs) using large dataset such as images.
ANNs are information processing models inspired by the human brain.
The human brain consists of billions of neurons that communicate to each other using electrical and chemical signals and enable humans to see, feel, and make decision.
#MachineLearning #ArtificialIntelligence
