AI News, Omar Gutiérrez - From linear algebra to machine learning

Omar Gutiérrez - From linear algebra to machine learning

From linear algebra to machine learning[EuroPython 2018 - Talk - 2018-07-27 - Fintry [PyData]][Edinburgh, UK]By Omar GutiérrezMath is a crucial skill for people who are interested in Data Science and Machine Learning.

Basically is just another tutorial about vectorization, in this case, oriented to understand and implement machine learning algorithms and the mathematical foundation that supports it.OutlineReview of linear algebra: A brief review of essential linear algebra, concepts and the explanation with NumPy: scalars, vectors, matrices, tensors, multiplication of vectors, inner products, vector spaces, etc.Review of machine learning: A brief review of essential machine learning, concepts that are related to mathematical concepts: dimensionality reduction, principal component analysis, etc.Optimization: Analytical vs.

Omar Gutiérrez - From linear algebra to machine learning

From linear algebra to machine learning [EuroPython 2018 - Talk - 2018-07-27 - Fintry [PyData]] [Edinburgh, UK] By Omar Gutiérrez Math is a crucial skill for ...

2018 - From linear algebra to machine learning

Math is a crucial skill for people who are interested in Data Science and ..

Deep Learning Prerequisites: The Numpy Stack in Python

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Course 2 - Mathematics for Machine Learning Multivariate Calculus, Module 3 Multivariate chain rule and its applications To get certificate subscribe at: ...

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The objective of this course is to give you a holistic understanding of machine learning, covering theory, application, and inner workings of supervised, ...