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The significantly reorganized revised edition of the book (2023) [2] expands and modernizes the presented mathematical principles, computational methods, data science techniques, model-based machine learning and model-free artificial intelligence algorithms. The 14 chapters of the new edition start with an introduction and progressively build ...
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
The Applied Data Science Lab is a free, credentialed offering where students use data analysis to solve real-world meaningful, and complex problems. During this self-paced course, students complete eight projects that range from exploring housing prices in Mexico to predicting air quality in Kenya.
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Udacity is the outgrowth of free computer science classes offered in 2011 through Stanford University. [9] Thrun has stated he hopes half a million students will enroll, after an enrollment of 160,000 students in the predecessor course at Stanford, Introduction to Artificial Intelligence, [10] and 90,000 students had enrolled in the initial two classes as of March 2012.
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Brilliant regularly contributes math and science puzzles to publications such as The New York Times, The Guardian, and FiveThirtyEight. [ 7 ] [ 8 ] [ 9 ] [ 1 ] [ 10 ] Brilliant has also been cited by The Atlantic as a catalyst of the "math revolution" - a surge in the number of American teens excelling at math.
Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2] Analytics also entails applying data patterns toward effective decision-making.