If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
In case you haven't noticed, machine learning -- the practice of designing algorithms to equip computers to collect data, identify patterns, and learn from them without human interference -- has gained fresh momentum. Although the concept is not new, its recent applications gave rise to a massive digital revolution. Think self-driving cars, Netflix's recommendation engine, Uber's arrival and pick-up estimations, and Spotify's Discover Weekly playlists. Without machine learning, all these things would not exist. SEE ALSO: Robots ruin the fun of'Where's Waldo?' with facial recognition The number of businesses adopting machine learning is growing at a rapid pace, which means now is the perfect time to immerse yourself in it and become a frontrunner in the industry.
Training and education of the workforce is key to the digital transformation success of many businesses. One tool that has helped foster this is e-learning, especially, as Digital Journal has reported, e-learning is leading the way as businesses shift their training priorities to embrace a digital-first approach. There are many different forms of e-learning, involving a mix of different channels, content, use of video and so on. A shared objective is the importance of flexibility and a blended approach. Advantages to businesses include lower costs, since one training session can be delivered to many people.
The E-learning course starts by refreshing the basic concepts of the analytics process model: data preprocessing, analytics and post processing. We then discuss decision trees and ensemble methods (bagging, boosting, random forests), neural networks, support vector machines (SVMs), Bayesian networks, survival analysis, social networks, monitoring and backtesting analytical models. Throughout the course, we extensively refer to our industry and research experience. The E-learning course consists of more than 20 hours of movies, each 5 minutes on average. Quizzes are included to facilitate the understanding of the material.