دانلود منابع جانبی کتاب Mathematics for Machine Learning - Instructor Resources (Instructor Manual + Solutions for Jupyter Notebook Tutorials + Additional Exercises)
PDF لطفا توجه داشته باشید که با خرید این محصول، تنها فایلها و منابع جانبی مرتبط با کتاب در اختیار شما قرار خواهد گرفت. این محصول شامل خود کتاب نمیباشد. نویسندگان: Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
جزئیات
فرمت: PDF زبان: English ناشر: Cambridge University Press تاریخ انتشار نسخه الکترونیکی : 2020
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شابک: 9781108470049, 1108470041, 9781108569323, 1108569323
1,999,000 تومان
399,800 تومانبن تخفیف
زمان تحویل: آنی
توضیحات
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For studentsand otherswith a mathematical background, these derivations provide a starting point to machine learning texts. Forthoselearning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
1,999,000 تومان
399,800 تومانبن تخفیف
زمان تحویل: آنی