Why is Machine Learning Important?

In today’s world machine learning is quite important as it helps in providing enterprises a look into the behavioral pattern of customers as well as the business operational patterns. It also keeps the charge of development of new products therefore, many leading companies such as Google, Uber, and Facebook are opting for machine learning and making it a central part of their operations. 

For example:

• Uber uses machine learning to optimize its routing algorithms and to predict demand for rides in different areas.
• Google uses machine learning to improve the accuracy of its search results and to identify and remove spam and other harmful content from its platforms.
• Facebook uses machine learning to personalize the content that users see in their feeds, to identify and remove inappropriate content, and to detect and prevent fraudulent activity.

These are just a few examples of how machine learning is being used in these organizations, but there are many other applications as well. Now, let’s start simple and focus on the best Machine Learning books for beginners, and then we will move on to more complicated books!

Alan Turing stated, “What we want is a machine that can learn from experience.” And this concept is a reality today in the form of Machine Learning! Generally speaking, Machine Learning involves studying computer algorithms and statistical models for a specific task using patterns and inference instead of explicit instructions. And there is no doubt that Machine Learning is an insanely popular career choice today. 

According to many sources, Machine Learning Engineer is The Best Job with a 344% growth and an average base salary of $146,085 per year. Keeping this in mind, if you want to learn Machine Learning, there are many books available in the market (for programmers at all stages of learning). In this article, we have compiled the best machine learning books, both for rank amateurs and technical whiz kids!!! Each of these books is extremely popular so it is up to you to choose the ones you like according to your learning sensibilities. So without further ado, let’s see them!