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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- 5 stars60.35%
- 4 stars26.62%
- 3 stars8.28%
- 2 stars3.55%
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來自ADVANCED LINEAR MODELS FOR DATA SCIENCE 1: LEAST SQUARES的熱門評論
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.
Hard Topic, You must take all the basics in multivariate statistical analysis first.
Very thorough and rigorous. A great review for me.
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.
關於 Advanced Statistics for Data Science 專項課程
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.