The function and popularity of Artificial Intelligence are soaring by the day. Artificial intelligence is the ability of a system or a program to think and learn from the experience. AI has significantly evolved over the past few years and has found its applications in almost every business sector. This post will help you learn the top artificial intelligence applications.
Artificial Intelligence Applications
1. AI in E-Commerce
Personalized Shopping
AI-powered Assistants
Fraud Prevention
2. AI in Navigation
3. AI in Robotics
It can be used for -

Carrying goods in hospitals, factories, and warehouses

Cleaning offices and large equipment

Inventory management
4. AI in Human Resource
5. AI in Healthcare
6. AI in Agriculture
7. AI in Gaming
8. AI in Automobiles
9. AI in Social Media
Instagram
Facebook
Twitter
10. AI in Marketing
Artificial Intelligence is revolutionizing the industries with its applications and helping solve complex problems. Do you agree with our list of Artificial Intelligence Applications? Think we missed anything important? Or do you have any questions for us? Feel free to share them with us in the comments section 
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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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What is TensorFlow?

TensorFlow is an open-source end-to-end platform for creating Machine Learning applications. It is a symbolic math library that uses dataflow and differentiable programming to perform various tasks focused on training and inference of deep neural networks. It allows developers to create machine learning applications using various tools, libraries, and community resources.
Currently, the most famous deep learning library in the world is Google's TensorFlow. Google product uses machine learning in all of its products to improve the search engine, translation, image captioning or recommendations.

To give a concrete example, Google users can experience a faster and more refined the search with AI. If the user types a keyword a the search bar, Google provides a recommendation about what could be the next word.
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