What is Big data, Hadoop, Machine learning (ML), Artificial intelligence (AI), Predictive analysis?
Okay now instead of reading confusing technical answer, enjoy reading below case studies…
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2. IBM Watson - OpenText Magellan
Machine learning is a quite popular in the tech world right now. It represents a major step forward in how dumb computers can learn like a human baby.
Think about your smartphone keyboard predictions, how smart they are while auto-correcting you typing mistakes. Smartphone keyboards can learn your habit of typing and frequency of words you type.
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To learn from past experiences, it requires training data. This ties data science and AI together.
You might provide a computer a teaching set of photographs, some of which say, “this is a cat” and some of which say, “this is not a cat.” Then you could show the computer a series of new photos and it would begin to identify which photos were of cats.
Machine learning then continues to add to its teaching set. Every photo that it identifies — correctly or incorrectly — gets added to the teaching set, and the program effectively gets “smarter” and better at completing its task over time.
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The convergence of artificial intelligence and data science has sparked a technological renaissance. By harnessing AI's learning capabilities and data science's analytical prowess, we're unlocking unparalleled insights from vast data sets. Does Fortnite Have Good Graphics Does Fortnite Have Good Graphics This synergy drives innovation across sectors, from healthcare and finance to entertainment and beyond.
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Artificial Intelligence (AI) works by simulating human intelligence through the use of algorithms, data, and computational power. The goal is to enable machines or software to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and language understanding. Data Analytics
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