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Machine learning is a method of data analysis that automates analytical model building. It's a branch of Artificial Intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human interaction. This series of articles intend to elaborate the usage of Azure Machine learning and usage of different machine learning tools in Azure ML studio. This is the first post and it walks you through the introduction to the Azure ML studio and how to upload data to the tool. Two most widely adopted machine learning methods are,  Supervised learning: algorithms are trained using labeled examples, such as    an input where the desired output is known Unsupervised learning: is used against data that has no historical labels. The System is not told the "right answer." The algorithm must figure out what is being shown.   Differences between data mining, machine learning and deep learning  Data mining is about to identify previously unkno