Artificial intelligence (AI), Machine Learning & Deep Learning are now major buzzwords when it comes to the career fields of the future. Here’s how you can study these, and the future scope and job opportunities in these avenues.

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SwissCognitive, AI, Artificial Intelligence, Bots, CDO, CIO, CI, Cognitive Computing, Deep Learning, IoT, Machine Learning, NLP, Robot, Virtual reality, learningWhat are Machine Learning & Deep Learning? The concept of artificial intelligence in other words, the idea of that a machine can learn and think for itself has been around since the middle of the last century.

The term was coined by a group of American scientists John McCarthy, Marvin Minsky, Allen Newell and Herbert Simon in a paper they presented at a conference held in Dartmouth College, USA in 1956.

Fast-forward to 2021 and artificial intelligence and its subfield of machine learning are part of our everyday lives. Indeed, AI is used by a growing number of organisations and research centres worldwide, in a huge range of applications and products from chatbots to healthcare, cybersecurity to automobiles.

Machine Learning uses numerical and statistical approaches to encode learning into mathematical models, which are then used to make predictions on new data, situations and scenarios.

The most cutting-edge branch of ML is Deep Learning, which is based on very deep and complex artificial neural networks, usually referred to as deep neural networks, which essentially try to emulate the human brain’s learning abilities.

In deep learning, the first few layers of the network perform feature extraction in a series of stages, just as the brain seems to do. The level of complexity and abstraction of such features increases through the network, with the actual decisions taking place in the last few layers of the network structure.

Deep Learning is an extremely exciting development that has sparked an AI revolution in many aspects of our life, and is the key technology behind the recent spectacular developments in fields such as biomedical signal analysis, image recognition, driverless cars, speech processing and natural language processing. […]

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