Machine Learning Introduction in depth

What is Machine Learning?

Machine learning is an application of Artificial Intelligence (AI) that gives systems the ability to automatically learn and improve from experience without being explicitly programmed.

Machine Learning Programming

What Machine Learning Does?

In simple term, it finds a pattern in data and uses those pattern to predict the future.

Let’s understand¬† with an example:

  • Identifying credit card frauds – Using historical data of credit card transaction we can find a pattern to detect when a new credit card transaction is likely to be fraudulent.
  • Determine whether your customer going to switch to a competitor-Suppose you want to find out whether your customer is likely to switch to a competitor. You can determine this by looking at the pattern of existing customers.
  • Spam Mail Detection – Gmail uses it to determine whether a received email is a spam or not based on historical email patterns.
  • Self-driving cars – Machine learning also can be used in self-driving cars.¬†
  • Natural Language Processing – It is also part of artificial intelligence where AI is used to make a decision between human language and computers.

Remember the core concept is it finds a pattern in data to predict the future.

History of Machine Learning

From the 1950s till now, it has significantly evolved. Following diagram is a brief history and how Communications, and AT&T, played a strong role in the process.

Machine Learning History

In the next article, we will see how do we train model in Machine Learning Tutorial.

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