Member
LEVEL 7
130 XP
Published 5/2024
Created by Takuma Kimura
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 25 Lectures ( 4h 1m ) | Size: 1 GB
Deep Mathematical Understanding of Logistic Regression
What you'll learn:
Obtain deep mathematical understanding of logistic regression
Obtain intuitive understanding of logistic regression
Obtain mathematical knowledge behind logistic regression
Interpret and explain the findings from logistic regression
Requirements:
Very basic of statistics and machine learning.
Description:
Welcome to this lecture on Logistic Regression, a cornerstone technique in both machine learning and inferential statistics. This course is designed to demystify the complex mathematical foundations of logistic regression, presenting them in a way that is approachable and easy to grasp. Whether you are a beginner or have some experience, this course will equip you with practical knowledge firmly rooted in mathematics.We will start by exploring the basic principles of logistic regression, laying a solid foundation before diving into more advanced topics. You will learn about odds ratios, likelihood functions, and the method of maximum likelihood estimation, etc. We will also cover various methods for evaluating and improving your models. Throughout the course, challenging mathematical concepts will be made clear with plenty of examples and intuitive explanations. By the end of this course, you will not only understand the theoretical underpinnings of logistic regression but also appreciate its powerful analytical capabilities. Throughout this lecture, we have included supplementary chapters on fundamental mathematical concepts to help everyone, regardless of their mathematical background, build their knowledge from the basics to advanced levels. This approach ensures that the journey through logistic regression is accessible and enriching for all learners. We are excited to embark on this educational journey with you and look forward to unlocking the full potential of logistic regression together.
Who this course is for:
Data science and statistics enthusiast who want to understand logistic regression deeply.
Social science researchers anc students who will use logistic regression as an analytical method.
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