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:
Об этом курсе
Университет Джонса Хопкинса
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
- 5 stars60,35 %
- 4 stars26,62 %
- 3 stars8,28 %
- 2 stars3,55 %
- 1 star1,18 %
Лучшие отзывы о курсе ADVANCED LINEAR MODELS FOR DATA SCIENCE 1: LEAST SQUARES
Great, detailed walk-through of least squares. Linear Algebra is a must for this course. To follow the last part requires knowledge of matrix (eigen?)decomposition, which derailed me somewhat.
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.
A wonderful course to study! Prof. Brian Caffo explains so well!
Excellent experience. I have learnt a lot in different aspect of linear models as well as the coding skills from this course. Thank you.
Специализация Advanced Statistics for Data Science: общие сведения
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.
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
Остались вопросы? Посетите Центр поддержки учащихся.