Level 1 CFA® Exam:
Artificial Intelligence (AI) & Machine Learning (ML)
Artificial Intelligence (AI) can be described as machines, computers, or programs that mimic the cognitive functions of human minds, e.g. learning, problem solving, decision making, etc. (traditionally perceived as available only to humans).
Neural networks are computer programming based on how human brains learn and process information.
Machine Learning (ML) is a subdivision of AI and consists of computer programs and algorithms that based on Big Data are able to learn to do tasks and improve their performance over time, e.g. a computer program that learns how to recognize faces using a very large set of data (images) from a social platform.
We can distinguish 2 types of machine learning approaches:
- supervised learning,
- unsupervised learning.
Supervised Learning
If there are tags and goals included in machine learning, we are dealing with supervised learning – the algorithm has to learn specified similarities, differences, and relationships based on some data, e.g. there is a set of million images of city streets and the role of the algorithm is to learn to recognize the images with and without street signs.
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Level 1 CFA Exam Takeaways: Artificial Intelligence & Machine Learning
star content check off when done- Artificial Intelligence (AI) can be described as machines, computers, or programs that mimic the cognitive functions of human minds, e.g. learning, problem solving, decision making, etc.
- Machine Learning (ML) is a subdivision of AI and consists of computer programs and algorithms that based on Big Data are able to learn to do tasks and improve their performance over time.
- We can distinguish 2 types of machine learning approaches: supervised learning and unsupervised learning.