What is the difference between machine learning and artificial intelligence and deep learning? Supervised learning is best for classification and regressions Machine Learning models. You can read more about them in this article.
So you find yourself saying “Well, it’s time we step on to digital transformation for our organization. Let’s look at the technologies we can implement.”
When you complete saying that sentence, the first thing that comes to your mind is Artificial Intelligence(AI) systems. You think of intelligence machines that can execute tasks on their human and make insightful decisions — like Sophie or Watson.
“So artificial intelligence(AI) is what we need.”, you say to yourself
Yes and No. Yes, in the sense that AI machines are useful for digital transformation.
No in the sense that you will integrate Artificial Intelligence with the help of algorithms which build the foundation for these systems. So you are not integrating AI but the algorithms that make AI machines work.
Here’s a simple explanation — The process that you want to improve through digital transformation will be optimized through AI machines.
These machines will be developed using a subset of AI — Machine Learning Algorithms. To go further deep — your organization can also implement Deep Learning — a subset of Machine Learning.
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Artificial Intelligence (AI) will and is currently taking over an important role in our lives — not necessarily through intelligent robots.
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What is the difference between AI ML and DL. What is ANI vs AGI. When will general artificial intelligence be a reality? What can narrow artificial intelligence do today that is better than human intelligence?
Simple explanations of Artificial Intelligence, Machine Learning, and Deep Learning and how they’re all different