In the past few years, we all have seen that Python has become the most preferred programming language for any machine learning. Now, most of the books and online courses on machine learning and deep learning feature Python.
Private machine learning
We all know that most machine learning applications generally rely on client-server architectures. Here all the users must try to send their data to the company where the machine learning models are running well. There are a large number of benefits to the client and also to the server architecture.
In many cases, they should perform this machine learning inference on any user’s device. In the case of a privacy issue, the users may not want to send all of their photos, private chat messages, and emails to the server where the machine learning model is still running.
But it is also seen that all machine learning applications generally do not require any expensive servers. Nowadays, many of the available models can be compressed to run smoothly on any user device. Many mobile device manufacturers are also equipped with their own devices with chips to use them to support local deep learning inference.
It is Fast and also has customized ML models.
A person’s privacy is not the only benefit that we can get from on-device machine learning. There is always a roundtrip of sending data from the device to the server in some applications. This usually causes a delay.
This will, in turn, hamper the user experience. In another type of setting, all the users might want to be able to run their machine by simply learning different kinds of models even when they do not have any internet connection in their home or their workplace.
There will be an easy integration of machine learning in the web and Laos on mobile applications.
If you have implemented a version of this on your machine learning application for the browser, you can use it to easily port it onto your mobile application with little or no changes. Fortunately, nowadays, it is seen that machine learning libraries can also be written in different languages that are highly compatible and easy to learn.