A collection of the most exemplary examples of data visualizations, including Napoleons invasion of Russia and the iconic London Underground map.Source: HOB
R is an open source language. R is one of the most popular programming languages used for statistical analysis and graphics. It provides the variety of statistical and graphical techniques, and it is highly extensible. This language is used by statisticians and data miners for developing statistical software and data analysis.Source: HOB
Despite scoring decent grades in my Programming Language, Algorithm class and my Data Structures class in university, I shudder at the thought of going through a coding interview that focuses on algorithms.Source: HOB
Machine Learning Algorithms are those that can learn from data and improve from experience, without human intervention. Learning tasks may include learning the function that maps the input to the output, learning the hidden structure in unlabeled data where a class label is produced for a new instance by comparing the new instance (row) to instances from the training data, which were stored in memory.Source: HOB
Statistics is difficult. Of course it is, as mostly that's the actual science part in Data Science. But it doesn't mean that you couldn't learn it by yourself if you are smart and determined enough. These books are really good for setting your mind to think more numerical, mathematical and statistical. They also present why statistics is exciting really well.Source: HOB
IoT Leaders anticipate that their IoT use cases will boost their gross profits by 13% over the next three years, three times as much as IoT laggards.Source: HOB
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