Methods from statistics and probability are used throughout the data science process, from the initial gathering and investigation of the data right through to the comparing of the results of different models and analyses produced during the project. Machine learning involves using a variety of advanced statistical and computing techniques to process data to find patterns. The data scientist who is involved in the applied aspects of ML does not have to write his own versions of ML algorithms. By understanding the ML algorithms, what they can be used for, what the results they generate mean,
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