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Top in demand tech skills .
2020 was the year everything changed. What's more, it looks like in many respects we won't be going back to the old ways of doing things. In fact, almost every aspect of our lives will be different going forward. That includes the way we shop, do business, and communicate. So to make sure you're in the best place to succeed in whatever the new different looks like, here are eight of the most in-demand job skills .
Artificial Intelligence
Artificial Intelligence (AI) programming and design are two more 21st-century skills that will boost your chance of landing a well-paying job in an exciting industry. 
Blockchain
According to a LinkedIn survey, blockchain programming will become one of the most in-demand skills as we continue the transition into a new, digital age. 
UX Design
UX, or User Experience, is a design process that considers a person’s emotions and attitudes towards a product.
Machine Learning 
Data Science & Analytics
Data Visualization 
Internet of Things (IoT)
Blockchain
Quantum Computing
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Classification and Regression are two major prediction problems which are usually dealt with Data mining and machine learning.
Classification is the process of finding or discovering a model or function which helps in separating the data into multiple categorical classes i.e. discrete values. In classification, data is categorized under different labels according to some parameters given in input and then the labels are predicted for the data.
The derived mapping function could be demonstrated in the form of “IF-THEN” rules. The classification process deal with the problems where the data can be divided into binary or multiple discrete labels.
Regression is the process of finding a model or function for distinguishing the data into continuous real values instead of using classes or discrete values. It can also identify the distribution movement depending on the historical data. Because a regression predictive model predicts a quantity, therefore, the skill of the model must be reported as an error in those predictions.
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