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Where Do AI and Machine Learning Stand Right Now?

Like so many other emerging technologies, AI has led to an excessive number of irrational expectations. Today, far too many businesses freely smear mentions of neural networks, machine learning, and other types of technology over their websites with little connection to those technologies' real capabilities. Other than perhaps aiding in fundraising, merely naming a website "AI-powered" doesn't increase its effectiveness.   More than people understand, artificial intelligence has been around for a while. We've gone a long way from the mechanical men our ancestors imagined would assist them in their labour to the first computers that were imagined as logical machines. The goal of engineers has always been to replicate brain functions like memory and simple arithmetic in order to build mechanical minds. But the big shift occurs when we try to educate computers on how to learn on their own, rather than trying to teach them all they need to know in order to do jobs. (

What Makes Data Visualization Important for Data Science

The term "data visualization" is just a word for the process of displaying information visually. Data visualization is simply the process of displaying any sort of information through the use of diagrams, infographics, bar graphs, and other visual representations. Data Visualization The goal of data visualization is to present data in a way that captivates the viewer and makes even the most minute details easily visible. When working with raw data formats, such as spreadsheets or excel files, it is easier to concentrate on those places that would otherwise be missed (Brush, 2020). The term "data visualization" has far more meaning in the field of data science. It's a comprehensive procedure that offers solutions to many of the current issues we face. Data visualization is always essential, whether we are analyzing massive data or creating a presentation for the stakeholders. The importance of data visualization in data science Data visualization is crucial to d