This course introduces SAS Visual Data Mining and Machine Learning for building statistical models in an interactive, exploratory way. Exploratory model fitting is a critical step in modeling big data.

Ismerje meg hogyan...

• create a forest model
• create a gradient boosting model
• create a neural network
• create a support vector machine.

Kinek ajánljuk

Predictive modelers, business analysts, and data scientists who want to take advantage of SAS Visual Data Mining and Machine Learning for highly interactive, rapid model fitting on SAS Viya

Elérhető képzési formák	Időtartam
Tantermi:	1.0 nap
Live Web tanfolyam:	4 fél napos
e-Learning:	14 óra/180 nap licensz

Before attending this course, you should

• be acquainted with SAS Visual Statistics
• have at least an introductory-level familiarity with machine learning techniques and statistical modeling.

A tanfolyam SAS Visual Analytics szoftver használatára épül.

SAS Visual Data Mining and Machine Learning Overview and Accessing the Data

• introduction

Machine Learning Algorithms

• introduction
• support vector machines
• forests
• gradient boosting
• self-study: useful details

Model Assessment and Implementation

• comparing models and generating score code