Statistics Misinterpreted​​

Statistics is one of the most powerful tools for driving change in any Business, however, if misused or misinterpreted, it will lead to producing biased results. Let’s split the misinterpretation of statistics into 3 main points for better understanding, with real-life examples: Bias, non-random and small samples: Having 3 out of 4 rich adolescents from New York…

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The Dark Side of Data

At the core of every business, Data is the Oil of Digital Economy, becoming more and more important with the technology progressing. The more valuable data you have, the better you can improve your business … the worse and more costly a Data breach will be …   Data Breaches: What, How, and Why? Data…

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Machine Learning Detailed

To avoid repetition about what is Machine Learning and why it matters, and if it is our first article that you are reading, here you can find our last post covering these points. Now to go straight to the subject, let’s divide Machine Learning into three main categories: Supervised Learning, Unsupervised Learning, and Reinforcement Learning.…

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Data for Business

Data Is the New Oil of the Digital Economy. At the core of every business decision made, Data is needed: Human resources gather online Data to determine the best people to recruit, Marketing departments use Data to find consumers who are ready to buy, Schools and Universities use Data to enhance their teaching systems, retailers…

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Data Analysis vs Data Analytics

Interchanging Analysis and Analytics may seem fine as both words have the same meaning in the dictionary. But when it comes to data, and from a technical perspective, we are talking about two different subjects, regardless of the fact of analyzing data for insights to drive all types of decisions. According to Merriam-Webster dictionary, Analysis…

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