Statistics You Need to Know for Machine Learning

When it comes to using data, there are two main camps, traditional statistics and machine learning, and the two camps complement each other. Statistics remains highly relevant, irrespective of the "bigness" of data. Its role remains what it has always been, but it is even more important now. There is a need to transition from traditional statistical modeling to the machine learning world. This course introduces the statistical background necessary for machine learning using SAS Viya. Knowledge of statistics relevant to machine learning will prepare you to become a data scientist. The course prepares you for future instruction on doing machine learning (including its underlying methodology that has statistical foundations) and enables you to develop a deeper understanding of machine learning models.

This course is a prerequisite to many of the courses in the data science curriculum. A more advanced treatment of machine learning occurs in the courses SAS VDMML: 데이터 마이닝 및 머신러닝 입문, Interactive Machine Learning in SAS Viya, SAS Visual Statistics: 예측 및 탐색 모델링 , and Supervised Machine Learning Procedures Using SAS Viya in SAS Studio.

For students interested in statistics for inference and explanatory analysis used in scientific and medical research, SAS 기초통계분석 is an appropriate foundational course.