18 results found for "AI & Machine Learning"
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SAS - Strategies and Concepts for Data Scientists and Business Analysts (Course)
Course Code: BADS41To be effective in a competitive business environment, analytics professionals need to use descriptive, predictive, and prescriptive analytics to translate information into decisions. An effective... -
SAS - Big Data, Data Mining, and Machine Learning (Course)
Course Code: BDDM42This course introduces the concepts of analytical computing and various data mining concepts, including predictive modeling, deep learning, and open source integration. The course introduces a wide... -
SAS(R) Expected Credit Loss Workshop: Reviewing and Adjusting ECL Output (Course)
Course Code: RCCLFAThis course prepares the financial analyst to use each of the components of SAS Expected Credit Loss. Participants learn to complete the task steps in the CECL monthly production process to generate... -
Deep Learning Using SAS(R) Software (Course)
Course Code: DLUS34This course introduces the essential components of deep learning. Participants learn how to build deep feedforward, convolutional, and recurrent networks. The neural networks are used to solve... -
Supervised Machine Learning Procedures Using SAS(R) Viya(R) in SAS(R) Studio (Course)
Course Code: DMML34This course combines data exploration, visualization, data preparation, feature engineering, sampling and partitioning, model training, scoring, and assessment. It covers a variety of statistical,... -
SAS - Optimization Concepts for Data Science and Artificial Intelligence (Course)
Course Code: ORVY34This course focuses on linear, nonlinear, and mixed-integer linear optimization concepts in SAS Viya. Participants learn how to formulate optimization problems and how to make their formulations... -
SAS(R) Viya(R) and Python Integration for Machine Learning (Course)
Course Code: POSI34In this course, you learn to use the Python API to take control of SAS Cloud Analytic Services (CAS) actions from Jupyter Notebook. You learn to upload data into the in-memory distributed environment,... -
SAS® Viya® and R Integration for Machine Learning (Course)
Course Code: ROSI34In this course, you learn to use the R API to take control of SAS Cloud Analytic Services (CAS) actions from Jupyter Notebook. You learn to upload data into the in-memory distributed environment,... -
SAS(R) AI & Machine Learning Certification Program (Course)
Course Code: AIBT13The SAS AI & 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... -
SAS(R) AI & Machine Learning Certification Program (AI only) (Course)
Course Code: AIBT23This program is designed for data professionals who want to earn a SAS Certified Professional: Artificial Intelligence and Machine Learning credential and have already passed one of the following... -
Machine Learning Using SAS(R) Viya(R) (Course)
Course Code: CPML8IThis course covers the theoretical foundation for different techniques associated with supervised machine learning models. A series of demonstrations and exercises is used to reinforce all the... -
Deep Learning Using SAS(R) Software (Course)
Course Code: DLUS3IThis course introduces the essential components of deep learning. Participants learn how to build deep feedforward, convolutional, and recurrent networks. The neural networks are used to solve... -
Machine Learning Using SAS(R) Viya(R) (Course)
Course Code: CPML84This course discusses the theoretical foundation for different techniques associated with supervised machine learning models. A series of demonstrations and practices is used to reinforce all the... -
SAS - Optimization Concepts for Data Science (Course)
Course Code: OPCN51This course focuses on linear, nonlinear, and efficiency optimization concepts. You learn how to formulate optimization problems and how to make their formulations efficient by using index sets and... -
SAS - Experimentation in Data Science (Course)
Course Code: XDS51This course explores the essentials of experimentation in data science, why experiments are central to any data science efforts, and how to design efficient and effective experiments. The e-learning...