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When the website server is invaded, we need a Webshell detection tool to help us discover the webshell and further investigate possible security vulnerabilities in the system.

Webshell is a malicious script often used by hackers. Its purpose is to gain execution authority on the server.

Both the industry and the academia have always believed that machine learning is just a glamorous coat of approval from statistics.

With the development of the field of machine learning and the technology itself, the stages and workflow involved in the project are also constantly evolving.

R and Python have the same programming features and are both tools commonly used by data scientists.

The purpose of Tensorflow.js is to let everyone give full play to their creativity and implement machine learning in front-end applications.

The true value of data visualization is to design data displays that can be easily understood by readers. Here is a summary of the tips for data visualization production.

Data visualization mainly aims to convey and communicate information clearly and effectively by means of graphical means.

The learning process usually means making mistakes and choosing the wrong path first, and then figuring out how to avoid these pitfalls in the future. Machine learning is no exception.

Machine learning is composed of three parts: representation, evaluation, and optimization. These three steps actually correspond to the mathematics needed in machine learning.

It may be difficult for people who have not used machine learning to understand, but we are still in a trial period for tracking changes and rebuilding models in the field of machine learning.

A total of 3 small pieces of code, easily implement scatter plots, line graphs, histograms, each piece of code has only 10 lines, it couldn't be easier!

This article collects data visualization analysis tools for various platforms and industries, so that you not only feast your eyes, but also make you do more with less.

Visualization is everywhere. When you open a browser, a website is a data visualization. Behind it is a dense database of data tables.

Data integration provides organizations with a unified view of data stored in multiple data sources, and ETL technology is an early attempt at data integration.

How do we choose the right data integration tool to summarize all kinds of data? Today's article will discuss this.

With the continuous promotion of the Internet of Things technology, data integration has become one of the biggest obstacles facing the adoption of the Internet of Things.

In today's technological age, two terms are somewhat mysterious and awesome - the first is "digital transformation", the second is "data integration".

The Internet of Things (IoT) is rapidly becoming a technological necessity for modern enterprises. Aware of this, companies are stepping up their efforts to implement and expand IoT networks.

More than 80% of corporate business operations leaders said that data integration is critical to ongoing corporate operations.