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所在平台: Udemy |
课程主页: https://www.udemy.com/course/linear-regression-in-python-statistics-and-coding/
课程评论：没有评论
课程总结：深度学习基础：线性回归与统计学 这门由 Coursera 提供的课程，旨在巩固学习者在**线性回归**和**统计学**方面的基础知识。课程定位为数据科学的起点，重点在于为**深度学习**和**机器学习**算法打下坚实的基础。 课程内容涵盖了以下关键概念： * **假设检验 (Hypothesis Testing)** * **无偏估计量 (Unbiased Estimators)** * **统计检验 (Statistical Tests)** * **梯度下降 (Gradient Descent)** 通过学习本课程，学员将能够**从零开始编写自己的回归算法**，从而具备实践能力。
Hi Everyone welcome to new course which is created to sharpen your linear regression and statistical basics. linear regression is starting point for a data science this course focus is on making your foundation strong for deep learning and machine learning algorithms. In this course I have explained hypothesis testing, Unbiased estimators, Statistical test , Gradient descent. End of the course you will be able to code your own regression algorithm from scratch.
