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Chapter 14 Optimization & Machine Learning: Advanced Topics 14.1 . . Mathematical Foundations of Data Science and Machine Learning Homework 2 - Spring 2020 New York University Shanghai Shuyang Ling Instructions Please read lecture notes and Sets and set operations. Linear algebra techniques are primary keys for creating 3 cr. Mathematical Foundations of Data Science Using R. pdf file size 42,27 MB; added by Vladimir Semyonovich. The main phases of data science are:Discovery: First phase of data science lifecycle. Data Preparation: Data cleaning, reduction, integration, and transformation are its primary steps.Model Planning: Generally, We use different tools to establish relationships between input variables.Model Building: In this phase, model building starts using data sets.More items . . . . . Length: 424 pages. The purpose of this course is to introduce students to two fundamental pillars of data science: statistical inference and optimization. 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