An Anatomy of Machine Learning Data Visualization

Nowadays, the data literacy become as vital as the language literacy in general and special conditions. The well-designed visualizations results can guide us from millions of data, help to convey the information, facilitate in connecting an idea, and make better decisions in real time. Thus, data visualization is a method that uses multiple visual instruments, both static and vibrant and interactive, to enable individuals to comprehend the big quantities of data that are transformed into information in some situations. In machine learning which is a method of data analysis with algorithms that can learn from data. The results of machine learning, computers can easily identify patterns with massive data so that the system can make accurate and precise predictions. In this work, we try to explore machine learning and display its benefits when we integrate it with data visualization. Thus, this paper is a literature review which display some results from several experiments in making data visualization based on machine learning algorithms that are implemented specifically in Python language platforms.