PHP and Machine Learning

Machine Learning algorithms are globally used in the current age in applications such as recommendation systems (like Amazon or Netflix), spam detection, fraud detection, cancer prediction and many more. But what exactly is Machine Learning and how does it work?

?Machine Learning?is a method of data analysis that provides computers the ability to automatically find hidden patterns in the data, without being explicitly programmed.

PHP is used by many popular companies such as Wikipedia, Facebook, Slack, Etsy, Tumblr, MailChimp, Flickr, Moodle, Trivago, Delivery Hero, Lyft, and many others. But nearly none of these companies use PHP for #MachineLearning.

Why?

1. No possibility of visualization

• PHP doesn't have any support like there is in python, R, C++, Java or C# world.

2. No support for PHP in Jupyter Notebook

• Jupyter Notebook is unbeatable for learning machine learning. You can prepare, inspect, visualize data and train your model using only the browser.

3. No GPU support

• Until that moment that your dataset doesn't exceed the gigabytes, you will not need to use the GPU. Nevertheless, when such a moment comes, then what?
• TensorFlow for instance, in comparison to other environments of neural networks is distinguished by the function of distributed computing.
• It gives you the possibility of full control on the way of separating calculations between the graphics device (GPU) or local processor (CPU).
• There are many different strategies to choose from when using other programming languages such as Python, Julia, R, C++, Java or C#

Conclusion

In order to effectively work on machine learning projects, programming languages such as Python, Julia, R, C++, Java, or C# are preferred over PHP.