What is AI ML and DL? How to make a career in these emerging technologies?

 

Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) are buzz words for a couple of years. Let’s demystify these terms and see the career opportunity in these technologies.

According to John McCarthy, the pioneer in this emerging technology, “AI is science and engineering of making intelligent machines.” In reality, AI is a computer system able to perform tasks that normally require human intelligence such as perception, speech recognition, decision making and translation between languages. Furthermore, AI is a whole lot of ‘if-then’ statement or complex statistical models mapping raw data to particular categories.

Now comes Machine Learning, that is a subset of AI. ML algorithms are intelligent in deciphering the hidden rules patters or information from the raw data by itself. ML algorithms usually try to minimize error or maximize the likelihood of their predictions being true, that means it is an optimized algorithm. In 1959, Arthur Samuel defined ML is a “field of study that gives computers the ability to learn without being explicitly programmed.” Machine learning programs adjust themselves in response to the data they are exposed to.

Deep learning is a subset of machine learning or artificial neural network, that has revolutionized the world by setting new records in accuracy for many real-life problems. The word “Deep” in deep learning refers to the number of layers in the neural network. A shallow network has one layer and the deep network has multiple hidden layers. Thus, we can define “deep learning is a field of study that gives computers the ability to learn without being explicitly programmed.”

Career in AI, ML & DL

Broadly, we can classify roles in the AI into two: i) Analytics and Data Science Oriented Consulting Roles, and ii) AI-based Product Development Roles. Both the roles have certain overlaps and key among those overlap is, preference and desired acumen to explore and understand the hidden insights in the data.

The preferred choice of the programming language is either R or Python. While R is more inclined toward mostly in data science consulting, Python is preferred choice for researcher and developers in the advanced field of AI such as natural language processing, speech recognition, computer vision or reinforcement learning etc.

Manipal ProLearn offers PG Certificate Program in Artificial Intelligence & Deep Learning, which covers all the areas of AI, ML and DL. After this program, you can start your career as AI engineers, AI developers or data scientists.