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Career in Machine Learning and AI

Career in AI and Machine Learning

Thursday, October 3 at 7 P.M IST

Artificial Intelligence

AI is getting even more traction lately because of recent innovations that have made headlines, Alexa’s unexpected laughing notwithstanding.

But AI has been a sound career choice for a while now because of the growing adoption of the technology across industries and the need for trained professionals to do the jobs created by this growth. Pundits predict that AI will create close to 2.3 million jobs by 2020.

However, it is also forecasted that this technology will wipe out over 1.7 million jobs, resulting in about half a million new jobs worldwide. In addition, AI also offers many unique and viable career opportunities.

AI is used in almost every industry, from entertainment to transportation, yet we have a massive need for qualified, skilled professionals.

Machine Learning

In addition to the development of machine learning that leads to new capabilities, we have subsets within the domain of machine learning, each of which offers a potential area of specialization for those interested in a career in AI.

Neural networks: Neural networks are integral for teaching computers to think and learn by classifying information, similar to how we as humans learn. With neural networks, the software can learn to recognize images, for example. Machines can also make predictions and decisions with a high level of accuracy based on data inputs.

Natural language processing (NLP): Natural language processing gives machines the ability to understand human language. As this develops, machines will learn to respond in a way a human audience can understand. In the future, this will dramatically change how we interface with all computers.

Deep learning: Deep learning is at the cutting-edge of intelligent automation. It focuses on machine learning tools and deploying them to solve problems by making decisions. With deep learning, data is processed through neural networks, getting closer to how we think as humans. Deep learning can be applied to images, text, and speech to draw conclusions that mimic human decision making.

Register for the Webinar. Find out how the career turns out if you choose Artificial Intelligence and Machine Learning.

About the Presenter

Mr Arpendu Ganguly, a Data Science Enthusiast and has 3+ years of experience in applying machine learning algorithms and advanced econometric modelling techniques across diverse industrial sectors and multiple geographies to deliver data driven insights and incremental business value.

Webinar Video – Career in Machine Learning and Artificial Intelligence

Arpendu Ganguly

Presented By

Arpendu Ganguly

Analytics Consultant

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