AI Courses in Bangalore, Rajajinagar

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ARTIFICIAL INTELLIGENCE
SPECIALIZATION COURSE

About Artificial Intelligence

In general use, the term “artificial intelligence” means a machine which mimics human intelligence or cognition.According to a study by McKinsey Global Institute, AI is estimated to create an additional 13 trillion US dollars of value annually by the year 2030. Even though AI is already creating tremendous amounts of value into software industry, a lot of the value to be created in a future lies outside the software industry. In sectors such as retail, travel, transportation, automotive, materials, manufacturing and so on. The emergence of AI courses in Bangalore and other major cities is proof of the increasing reach of this technology and the need for qualified professionals to do further research in this field.

Artificial intelligence is the broader concept that consists of everything from Good Old-Fashioned AI (GOFAI) all the way to futuristic technologies such as deep learning. Whenever a machine completes tasks based on a set of stipulated rules that solve problems (algorithms), such an “intelligent” behavior is what is called artificial intelligence.

For example, such machines can move and manipulate objects, recognize whether someone has raised the hands, or solve other problems.

AI-powered machines are usually classified into three groups — narrow, general and super intelligence.

Type #1: Artificial Narrow Intelligence (ANI):
When an AI’s ability to mimic human intelligence and/or behaviour is isolated to a narrow range of parameters and contexts, it’s called ANI (also known as Weak AI or Narrow AI). All existing AI are ANI. Example: RankBrain by Google and Siri by Apple. It’s important to keep in mind that we are talking about narrow intelligence, not low intelligence.

Type #2: Artificial General Intelligence (AGI):
When an AI’s ability to mimic human intelligence and/or behaviour is indistinguishable from that of a human, it’s called AGI (also known as Strong AI or Deep AI). Most experts believe AGI is possible; however, seeing as the Fujitsu-built K, one of the world’s fastest supercomputers, took 40 minutes to simulate a single second of neural activity, I wouldn’t hold my breath.

Type #3: Artificial Super Intelligence (ASI):
When an AI doesn’t mimic human intelligence and/or behaviour but surpasses it, it’s called ASI. ASI is something we can only speculate about. It would surpass all humans at all things: maths, writing books about Orcs & Hobbits, prescribing medicine and much, much more. Even optimistic experts believe AGI, let alone ASI, requires decades more research, perhaps even centuries.

How is AI, ML, DL & DS Related?

We all hear these terms being thrown around and often used interchangeably; some of us tag along without knowing what they mean, or we might see them as buzzwords, and others claim to know — and do — what these terms really entail.

Note that the distinctions between these terms aren’t clear-cut, but this will give a sense of the general uses of the terms, how they are related to one another, and how all are threaded together by data science.

Artificial Intelligence describes machines that can perform tasks resembling those of humans. So AI implies machines that artificially model human intelligence. AI systems help us manage, model, and analyze complex systems. It is the superset which has Machine Learning & Deep Learning as subset.

Machine learning uses algorithms to parse data, learn from that data, and make informed decisions based on what it has learned

Deep learning structures algorithms in layers to create an “artificial neural network” that can learn and make intelligent decisions on its own. Deep learning is a subfield of machine learning. While both fall under the broad category of artificial intelligence, deep learning is what powers the most human-like artificial intelligence.

Data science is a broad field that spans the collection, management, analysis and interpretation of large amounts of data with a wide range of applications. It integrates all the terms above and more to summarize or extract insights from data (exploratory data analysis) and make predictions from large datasets (predictive analytics). The field involves many different disciplines and tools, including statistical inference, domain knowledge (expertise), data visualization, experiment design, and communication. Data science helps answer the question “what if?” and it plays a crucial role in building ML and AI systems, and vice versa.

Corpnce offers Data Science Courses, Machine Learning Courses, Deep Learning Courses & AI courses in Bangalore. Get in touch for more information.

AI Courses in Bangalore

OUR COURSES

DATA SCIENCE

Data science is the field of study that combines domain expertise, programming skills, and knowledge of math and statistics to extract meaningful insights from data. ​

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MACHINE LEARNING

Machine learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed.

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DEEP LEARNING

Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals.

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