Books remain one of the best ways to gain new knowledge. This collection of machine learning books mentioned above will help you to learn a lot about machine learning. But it is important to remember to put your knowledge into practice by working on different small machine learning projects and participating in machine learning competitions such as in Kaggle and zindi. By doing so, you will continue to learn more and get more experience working in machine learning. If you learned something new or enjoyed reading this article, please share it so that others can see it. Until then, see you in the next post! You can also find me on Twitter @Davis_McDavid. And you can read more articles like this here. Want to keep up to date with all the latest in python?

In the last decade machine learning becomes one of the hottest topics in the world, Andrew Ng considers it as the new electricity. In today's world machine learning powers many of the services we use -- recommendation systems like those on Netflix, YouTube, and Spotify; search engines like Google and Baidu; social-media feeds like Facebook and Twitter; voice assistants like Siri and Alexa. Having known that, let's see how machine learning works. In simple terms, machine learning algorithms use statistics to find patterns in massive amounts of data. The data are also known as the dataset, it's could contain images, texts, words, and clicks.