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If you would like more information about Online Data Science course, please click the orange "Request Info" button on top of this page. This is something all data scientists will agree on.Apart from having a degree in mathematics/statistics or engineering, a data scientist also needs to go through intense training to develop all the skills required for this field.1)Differentiate between Data Science , Machine Learning and AI.A sub- field of computer science consisting of various task like planning, moving around in the world, recognizing objects and sounds, speaking, translating, performing social or business transactions, creative work..
The random variables are distributed in the form of an symmetrical bell shaped curve. Linear regression is a statistical technique where the score of a variable Y is predicted from the score of a second variable X. The process of filtering used by most of the recommender systems to find patterns or information by collaborating viewpoints, various data sources and multiple agents.7) Differentiate between univariate, bivariate and multivariate analysis.These are descriptive statistical analysis techniques which can be differentiated based on the number of variables involved at a given point of time.For example, if you want to predict whether a particular political leader will win the election or not.In this case, the outcome of prediction is binary i.e. The predictor variables here would be the amount of money spent for election campaigning of a particular candidate, the amount of time spent in campaigning, etc. A subclass of information filtering systems that are meant to predict the preferences or ratings that a user would give to a product.