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Introduction to R
Latest Past Events
Advanced masterclass 2 – Random forests: Melbourne, 26-27 August 2019
Saxons Training Facilities, Melbourne Saxons Training Facilities, Level 8, 500 Collins Street, MelbourneThis class will explore the many unique applications and extensions of the randomForest package, many of which are implemented in R. Access to these methods allows the user to easily solve problems not susceptible to other methods, including deep learning. Topics will include: A brief overview of the random forest algorithm. Out-of-sample estimates on training […]
Data transformation and analysis using Apache Spark: Melbourne, 12-13 August 2019
Saxons Training Facilities, Melbourne Saxons Training Facilities, Level 8, 500 Collins Street, MelbourneCourse outline Developed by Jeffrey Aven, author of SAMS Teach Yourself Apache Spark and Data and Analytics with Spark using Python, this course will provide the core knowledge and skills needed to develop applications using Apache Spark. The “Data Transformation and Analysis Using Apache Spark” module is the first of three modules in the “Big […]
Fraud and anomaly detection: Sydney 29-30 July 2019
Saxons Training Facilities, Sydney Level 10, 10 Barrack Street, SydneyThis course presents statistical, computational and machine-learning techniques for predictive detection of fraud and security breaches. These methods are shown in the context of use cases for their application, and include the extraction of business rules and a framework for the interoperation of human, rule-based, predictive and outlier-detection methods. Methods presented include predictive tools that […]