What is Machine Learning? Posted on : Jul 28 - 2018

Today, more and more businesses are trying different approaches to make use of the Artificial Intelligence. Which leads them to the most promising and relevant area called Machine Learning. Machine Learning is becoming a very popular approach for processing the big data and there’s been increasing demand for ML professionals. That makes everyone curious to know more about it.

Before you join the machine learning bandwagon, it’s necessary to understand what machine learning is. By understanding what machine learning is, you are in a better position to wield its immense power and ultimately make it work for you.

Defining Machine Learning

So what is machine learning? Most definitions you are likely to come across require extensive statistical background to understand. The assumption is before coming into machine learning the reader has a background in related topics. Such an assumption introduces a recursive problem, which we should clear right away with a simple, yet comprehensive definition of machine learning.

Machine learning is the ability of a computer to learn how to perform tasks without explicit programming.

Through machine learning, a computer can, for instance, learn how to recognize millions of faces without being explicitly program to identify each individual face.

At this point, you might be wondering how machine learning makes it possible for a computer to carry out a task without an overt programming. After all, our definition of machine learning elevates a computer to a system capable of demonstrating intelligence. To quell any skepticism, let’s look at the nuts and bolts of machine learning from a bird’s eye view.

Machine Learning: Under The Hood

Numerous book volumes on the nuts of bolts of machine learning exist which speaks to the enormous amount of information on the topic. Any attempt to compress the information on the topic is a futile undertaking.

For that reason, we’re only going to concentrate on the core fundamentals of machine learning which are sufficient enough to understand what machine learning is. View More