I guess you guys decided to switch to Linux because Advantages of Linux over Windows, especially for developers. But for newbies, they often make 5 mistakes after starting to use Linux.

5 mistakes developers often make when starting to use Linux

1. Think of Linux as Windows/macOS

Linux can do almost everything that mac or windows can do, that's completely true but it doesn't work the same way you usually do it, for example the drivers on Linux are very limited, from NVIDIA drivers Either your device driver is proprietary or resides in the Linux kernel, or the driver most likely will not be supported. You can compile some third party drivers for a few peripherals but in general your drivers are in the kernel, you will get newer drivers when you update the kernel and the file system will be different and the location of The file will also be very different.

2. Linux distributions

A distribution is basically just a way to package the Linux kernel into some system tools. A desktop basically manages a few drivers, a few packages, and that's what users usually think. Beginners will tend to install or gravitate towards a particular distribution because of its interface. They tend to forget or don't know that they can replicate the interface on virtually any other Linux distribution. You can get themes and icons and what you need is a desktop environment, not a composite. Because the DE will decide the look and feel of that distribution.

3. Having difficulty with the interface

I've met people who switched from one distribution to another because the close button on the window was on the left instead of the right :v. It all comes down to the fact that people usually don't do much customization, you can edit a few things in mac os or on windows but it's very limited or you can use third party tools three and break your system, this doesn't happen on Linux, you can almost edit or change anything without changing the desktop environment (DE).

4. Expect Windows/Mac software to work on Linux

The fourth mistake Linux beginners make is expecting all the programs they used before to work on Linux. Linux cannot run Windows programs or Mac programs. Instead, you must use alternative software that has similar functionality to the old software.

Therefore, before switching to Linux, I recommend you find out whether the specialized software you often use can work on Linux or not? If not, is there any alternative software with similar functionality?

5. Follow CLI instructions blindly

The fifth mistake that Linux beginners often make is following online command line instructions completely blindly. Most tutorials for Linux are written using command line commands, because for the author this is easier than designing GUIs on different DEs.

In the digital age, the application of Machine Learning (Machine Learning) and AI (Artificial Intelligence) to software development is increasingly popular. Software developers seize the opportunity, building apps with a high degree of user personalization, enhancing user experience, and increasing user retention when apps are opened on their devices. .

Voice recognition and suggestions

Mobile apps and web browsers are currently using Machine Learning algorithms to recognize speech and provide similar keyword suggestions. An example for applying machine learning in speech recognition and suggestion is the YouTube application with voice search feature.

Google’s machine learning has analyzed the voice to make suggestions that match the keywords mentioned in the user’s voice. Since then, user personalization has improved significantly, helping to increase users’ application time on their personal electronic devices.

Identify interests and trends

AI can recognize user preferences using machine learning and natural language processing algorithms. Algorithms such as deep learning, general learning, and classification algorithms can be used to learn and predict user preferences based on user-supplied data (e.g. search history) , people you swipe right on dating apps like OmegleTinder).

Currently, online dating applications have very well applied machine learning and artificial intelligence to identify trends and user decisions to make suggestions with the highest compatibility. Ometv is one of those applications and is increasingly gaining the trust of users.

Fingerprint, face and code authentication

Currently, there are many digital and online banking applications that have applied machine learning technology to perform advanced authentication steps to protect users. Authentication of personal identities such as fingerprints, faces, and passwords is a type of AI authentication that can be analyzed and thereby, comprehensively protects users against any transaction.

Machine learning will learn each of your fingerprints or facial contours to determine if you are the owner of the bank account that is being logged into the device. From there, transactions will be defined as successful transactions or alerted to the email address or phone number that the user has previously registered with the bank when opening a trading account.