Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following:
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来自ADVANCED LINEAR MODELS FOR DATA SCIENCE 1: LEAST SQUARES的热门评论
chapter on bases showing four equivalent forms was brilliant! Hoping to learn BLUE, GAMs in part 2.
Excellent experience. I have learnt a lot in different aspect of linear models as well as the coding skills from this course. Thank you.
As the name says it's an advanced course. Take the challenge though! In my opinion the content is a must if you want to perform competently in data science.
Good mathematical rigour for the analysis of linear models. Builds some good intuition for the geometry of least squares which helps in model result interpretation.
关于 Advanced Statistics for Data Science 专项课程
Fundamental concepts in probability, statistics and linear models are primary building blocks for data science work. Learners aspiring to become biostatisticians and data scientists will benefit from the foundational knowledge being offered in this specialization. It will enable the learner to understand the behind-the-scenes mechanism of key modeling tools in data science, like least squares and linear regression.