- What are visualization tools?
- What are plots in data visualization?
- Which of the following plots is useful for visualizing the optimization problem?
- What are the visualization techniques in ML?
What are visualization tools?
Data visualization tools are software applications that render information in a visual format such as a graph, chart, or heat map for data analysis purposes. Such tools make it easier to understand and work with massive amounts of data.
What are plots in data visualization?
A plot is a graphical technique for representing a data set, usually as a graph showing the relationship between two or more variables. The plot can be drawn by hand or by a computer. In the past, sometimes mechanical or electronic plotters were used.
Which of the following plots is useful for visualizing the optimization problem?
Typically, one-dimensional or two-dimensional functions are chosen to study optimization algorithms as they are easy to visualize using standard plots, like line plots and surface plots.
What are the visualization techniques in ML?
As far as Machine learning/Data Science is concerned, one of the most commonly used plot for simple data visualization is scatter plots. This plot gives us a representation of where each points in the entire dataset are present with respect to any 2/3 features(Columns). Scatter plots are available in 2D as well as 3D .