According to IBM, Machine Learning (ML) is a branch of artificial intelligence (AI) and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn, gradually improving its accuracy.
QUOTES
Artificial intelligence is here and being rapidly commercialized, with new applications being created not just for manufacturing but also for energy, healthcare, and oil and gas. This will change how we all do business. ~Joe Kaeser.
I predict that, because of artificial intelligence and its ability to automate certain tasks that in the past were impossible to automate, not only will we have a much wealthier civilization, but the quality of work will go up very significantly and a higher fraction of people will have callings and careers relative to today. ~Jeff Bezos.
Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we’ll augment our intelligence. ~Ginni Rometty.
The purest case of an intelligence explosion would be an Artificial Intelligence rewriting its own source code. The key idea is that if you can improve intelligence even a little, the process accelerates. It’s a tipping point. Like trying to balance a pen on one end – as soon as it tilts even a little, it quickly falls the rest of the way. ~Eliezer Yudkowsky.
We are entering a new world. The technologies of machine learning, speech recognition, and natural language understanding are reaching a nexus of capability. The end result is that we’ll soon have artificially intelligent assistants to help us in every aspect of our lives. ~Amy Stapleton.
ABCs of Deep Machine Learning
A: AI's subset is Machine Learning along with deep learning and artificial neural networks that simulate human brain's working
B: Big unstructured raw data (text, numerical, visual, sounds, other inputs through sensors) gets ingested by algorithmic-layered neural networks for deep learning and processing by the machine
C: Computer vision technology, powered by convolutional neural networks, enables computers to derive meaningful information from digital images, videos, and other visual inputs, and then take the appropriate automotive actions.
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