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Frequently Asked Questions
Here are some FAQs on Artificial Intelligence and Machine Learning
A lot of people get these two confused, so here is the definitive answer: machine learning is a subset of artificial intelligence. AI involves all developments of technologies created to simulate human behavior. Machine learning is part of this, and what makes it unique is that ML algorithms are designed to automatically learn from past data and carry out actions that have not been programmed explicitly.
Broadly speaking, Machine Learning algorithms can be categorized into 3 types: Supervised Learning, Unsupervised Learning, and Reinforcement Learning. Here’s a quick look at what each of these means.
- Supervised learning happens when we provide the machine with a ton of information about a case and its outcome, and we tell it whenever its results are correct—hence, all of the work done by the machine is supervised.
- Unsupervised learning is the opposite, as there is no help from AI engineers and the computer has to learn on its own. Unsupervised learning is extremely useful to recognize patterns in data, find anomalies, cluster problems, and help us make decisions.
- Reinforcement learning is probably the closest to how we as humans learn. In this case, the algorithm or the agent learns continually from its environment by interacting with it and gets a positive or a negative reward based on its action.
AI and Machine Learning are important to businesses because they are redefining the ways we all do business. Making use of these technologies has the potential to completely change the way your company operates by harnessing the true power of data collection, data processing, automation, and all of the resulting insights. At this time, using AI and other cutting-edge technologies is defining which businesses become market leaders—and which are trying to catch up.