Artificial Intelligence is far from being a mission accomplished and more of a journey on the making. It features often in PowerPoint presentations, less in real life.
Artificial Intelligence (A.I) is probably one of the most misused terms in technology and data science. If features in articles, books, politician speeches, hefty daily-rate consultancy companies PowerPoint slides. Even the Pope talks about it . As of 2019, according to Gartner, 1 out of 3 corporates claimed having implemented A.I. “in some form” . But is Artificial Intelligence actually there?
Artificial Intelligence is far from being a mission accomplished and more of a journey on the making. It features often in PowerPoint presentations, less in real life. On the flip side Machine Learning has impressively advanced in the last few years, particularly in fields like Natural Language Processing (check out what GPT-3 algorithm is capable of). This can be seen as a necessary pre-requisite to develop machines that can build their own model of the world, make a leap from correlation to causality and reason by counterfactuals.
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.
Artificial Intelligence (AI) will and is currently taking over an important role in our lives — not necessarily through intelligent robots.
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Watch this video on Artificial Intelligence vs Machine Learning vs Deep Learning in Hindi! Artificial Intelligence, Machine Learning and Deep Learning are some of the most popular and sought-after domains today. We understand Artificial Intelligence as a computer being programmed with the ability to learn from experience, adjust to new commands and to perform human-like tasks, and Machine Learning as a subset of AI. Deep Learning is also an AI function which pretty much imitates the functioning of the human brain to process data for recognizing speech, translation of languages, detection of objects and making decisions.