Jest nowa wersja tego szkolenia. Zobacz na SAS AI & Machine Learning Certification Program.

The SAS AI and Machine Learning Certification Program is designed for data professionals who want to learn artificial intelligence and machine learning techniques using SAS Viya. Students learn to train and deploy supervised machine learning models, classify image data and analyze text with deep learning, uncover hidden insights within unstructured data, develop and score time series forecasting models, and perform several useful optimization techniques in SAS Viya.

The coursework and preparation sessions help prepare candidates for the three exams needed to earn a SAS Certified Professional: Artificial Intelligence and Machine Learning credential.

This course can help prepare you for the following certification exams: SAS Certified Specialist: Machine Learning Using SAS Viya 3.4, SAS Certified Specialist: Natural Language and Computer Vision, and SAS Certified Specialist: Forecasting and Optimization.

Naucz się

• Apply the analytical life cycle to business need.
• Prepare and explore data for analytical model development.
• Train models using deep learning techniques.
• Import and transform image data for analysis.
• Explore collections of text documents to discover key insights.
• Build and share custom pipelines for large-scale forecasting analyses.
• Refine forecast models to improve forecast accuracy.
• Solve optimization problems commonly encountered in industry.
• Identify and formulate appropriate approaches to solving optimization problems.

Kto powinien uczestniczyć

Programmers, business analysts, or statisticians with experience using SAS Viya and writing programs in SAS or other programming languages

Dostępne formaty	Długość
e-szkolenie:	70 godziny/1 licencja roczna

It is recommended that you have prior programing experience using SAS, Python, or R. You can gain programming knowledge in the Programowanie w SAS część 1: podstawy course. Candidates should also have some experience with the visual interfaces in SAS Viya. You can learn about those interfaces in the SAS Visual Statistics (SAS Viya): interaktywna budowa modeli predykcyjnych or SAS Visual Analytics (SAS Viya): podstawy course. It is helpful to have conceptual understanding of regression models, which you can gain by completing the Statystyka 1: wprowadzenie do analizy wariancji, regresji i regresji logistycznej course. It is also helpful to have conceptual understanding of neural network models, which you can gain by completing the SAS Viya: podstawy sieci neuronowych or Modelowanie sieci neuronowych course.

The comprehensive curriculum includes the following courses:

• SAS Viya: Uczenie maszynowe z wykorzystaniem Model Studio
• SAS Visual Text Analytics w SAS Viya
• Uczenie głębokie z wykorzystaniem oprogramowania SAS Viya
• Prognozowanie z użyciem Model Studio w SAS Viya
• Optimization Concepts for Data Science and Artificial Intelligence