Whether it is experienced business leaders, doctors or scientists, this is a question that new people to the field ask me. Can you give me some links to get a basic understanding of artificial intelligence (AI) and machine learning (ML).
So I searched the web for some introductory balanced material. Material that won’t dive too deep into the maths or the technology. There is a lot of info out there, some of it bewildering and some of which is just trying to raise too many fears before you have an idea of the impact. Anyhow, checkout below for a reasonable primer to the world of AI and ML.
The first video gives a high-level explanation of AI and use cases, it also introduces machine learning context in AI, and raises some of the concerns.
The next video provides some more examples and goes into a little more detail in some areas.
The next video, Carrie Anne provides an overview of machine learning, which is the intelligence in AI. She explains how to collect and label data, then uses various machine learning techniques to classify and analyse data, including deep learning and reinforcement learning. These techniques are the basis of most AI applications.
Finally, if you want to learn more about machine learning techniques then this Udacity video goes into more detail.
If you would like to read more then checkout these introductory articles:
- https://towardsdatascience.com/introduction-to-machine-learning-db7c668822c4
- https://www.digitalocean.com/community/tutorials/an-introduction-to-machine-learning
- https://medium.com/machine-learning-for-humans/why-machine-learning-matters-6164faf1df12
Once you have a grasp of AI and ML and want to go further, then contact us and we can suggest relevant material to take you deeper into the world of AI and ML. You may even consider a career and innovation opportunities in this space.
