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TensorFlow makes it easy for beginners and experts to create machine learning models for desktop, mobile, web, and cloud. See the sections below to get started. Learn the foundation of TensorFlow with tutorials for beginners and experts to help you create your next machine learning project. Use TensorFlow.
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Top Ten Tips for Data Analysis to Make Your Research Life Easier!

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HR Analytics & Statistics: An Introduction | AIHR Analytics

How Amazon uses big data has helped the brand evolve into a giant among online retail stores. However, what the company knows about you may feel a bit like stalking. AMZN is a leader in collecting, storing, processing, and analyzing personal information from you and every other customer as a means of determining how customers are spending their money. The company uses predictive analytics for targeted marketing to increase customer satisfaction and build company loyalty. On the other hand, some customers may find that how much the retailer knows about them simply by the products they purchase makes them more than a little uncomfortable. What does Amazon know, and how does it know it? Thanks to virtual assistants such as the Echo and Echo Show, which includes a camera as well as a speaker, getting the weather forecast or ordering more shampoo are a simple voice command away.
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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

Read time: 1 min. Data analysis and data analytics are often treated as interchangeable terms, but they hold slightly different meanings. Essentially, the primary difference between analytics and analysis is a matter of scale, as data analytics is a broader term of which data analysis is a subcomponent.
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Data analysis and interpretation have now taken center stage with the advent of the digital age… and the sheer amount of data can be frightening. Through the art of streamlined visual communication, data dashboards permit businesses to engage in real-time and informed decision making, and are key instruments in data interpretation. Data interpretation refers to the implementation of processes through which data is reviewed for the purpose of arriving at an informed conclusion. The interpretation of data assigns a meaning to the information analyzed and determines its signification and implications.
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