Artificial Intelligence (AI) is a branch of computer science that helps build smart machines. AI provides data that makes these machines capable enough to match human intelligence. As a result, many industries have taken advantage of AI technologies. Machine Learning and Deep Learning are the two subsets of Artificial Intelligence. Whereas machine learning refers to computers able to think and act with less human intervention, deep learning involves computers able to use structures modeled on the human brain.

The IT industry is one of the most rapidly growing industries in the world. By 2026, its market volume is expected to reach a sensational $1.5 trillion. At the same time, Artificial Intelligence (AI) is gaining momentum as well. This innovative technology was expected to make $22.6 billion in 2020, according to Statista. Therefore, it seems that both of these industries are very attractive for tech masterminds. But the question is, how to get there?

Organizations around the world have to deal with massive loads of data every day to run their businesses successfully. These vast amounts of data are called "big data." Dealing with big data efficiently by manual means is a huge, time-consuming task.That's where the importance of machine learning comes into play. Machine learning turns raw and unrefined data into processed data with the help of machines, providing valuable insights that make it much easier to deal with. Creating and executing these kind of data science projects can be a hassle, even with the help of machine learning.