Оценка 4,3 (10) Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction.

Lecture 1: Introduction to Statistics | Statistics for Applications | Mathematics | MIT OpenCourseWare.

Продолжительность: 1:54
Опубликовано: 1 февр. 2019 г.

Statistics is the science of turning data into insights and ultimately decisions. Behind recent advances in machine learning, data science and artificial ...

MITx 18.6501x - Fundamentals of Statistics. Link to course. Resources: MIT Open Courseware - Stats for Applications - ...

This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications. Lecture 1 · Lecture Slides · Syllabus · Lecture Videos

21 сент. 2021 г. · This course is part of the micro masters in data science and statistics on the Edx platform, the one after “Probability — The Science of ...

13 февр. 2019 г. · What You Will Learn. Construct estimators using method of moments and maximum likelihood, and decide how to choose between them. questions about the MITx courses on probably and statistics [Q] Textbook recommendation for Fundamentals of Statistics on ... Другие результаты с сайта www.reddit.com

Goals: ▷ To give you a solid introduction to the mathematical theory behind statistical methods;. ▷ To provide theoretical guarantees for the statistical ...