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Artificial Intelligence & Machine Learning

Artificial Intelligence & Machine Learning


This course is a high-level overview of artificial intelligence (AI) for people with little or no knowledge of computer science and statistics. The course will show you some simple but powerful ways that data scientists make predictions about objects, people, and the future. Later,we’ll cover exciting, complex topics you may have heard of, such as neural networks, computer vision, deep learning, and nsupervised learning. AI is the study of how to make computers perform tasks that humans consider difficult through the creation of intelligent agents. AI is now used for all sorts of things, such as intelligent opponents in video games, accurate medical diagnosis, speech commands on mobile phones, and keeping email inboxes clear of spam. People who use AI often want it to perform repetitive tasks that take a lot of time for a person to do, or to solve problems which seem almost impossible to solve with a calculator. For example, AI can be used to:

  1. intelligently guess the products that someone may want to buy
  2. count cells in a microscope picture
  3. find the optimum number of taxis that a city needs
  4. read the license plates of cars in a video
  5. Predict the quantity of ingredients a restaurant needs to order to minimize waste, but not run out of stock.

Machine learning is a subset of AI. When normal computer software needs to be improved, people edit it. Machine learning, on the other hand, is software that rewrites itself to get better at a specific task. For example, some online stores use machine learning to review your previous spending habits to give you personalized recommendations. There are lots of kinds of machine learning, including neural networks and deep learning.

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