Essential Math for Data Science. Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics, Paperback - Thomas Nield

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To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math youll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus.Publisher: OReilly MediaAuthor(s): Thomas NieldNumber of pages: 350Publication date: 2022Dimensions: 177 x 232 x 22Cover type: Paperback / softback

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