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September 2018

Advanced Machine Learning Masterclass: Sydney, 25–26 September 2018

September 25 @ 9:30 am - September 26 @ 5:00 pm
BCA, Sydney, BCA, Level 1, 65 York Street
Sydney, New South Wales 2000 Australia
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This course is for experienced machine-learning practitioners who want to take their skills to the next level by using R to hone their abilities as predictive modellers. Trainees will learn essential techniques for real machine-learning model development, helping them to build more accurate models. In the masterclass, participants will work to deploy, test, and improve their models. Topics covered will include data exploration, data preparation, feature engineering, and prediction, using advanced modelling techniques including glmnet, xgboost, and random forests. Participants…

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November 2018

Advanced Machine Learning Masterclass: Sydney, 8–9 November 2018

November 8 @ 9:30 am - November 9 @ 5:00 pm
BCA, Sydney, BCA, Level 1, 65 York Street
Sydney, New South Wales 2000 Australia
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This course is for experienced machine-learning practitioners who want to take their skills to the next level by using R to hone their abilities as predictive modellers. Trainees will learn essential techniques for real machine-learning model development, helping them to build more accurate models. In the masterclass, participants will work to deploy, test, and improve their models. Topics covered will include data exploration, data preparation, feature engineering, and prediction, using advanced modelling techniques including glmnet, xgboost, and random forests. Participants…

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Advanced Machine Learning Masterclass: Melbourne, 20–21 November 2018

November 20 @ 9:30 am - November 21 @ 5:00 pm
Saxons Training Facilities, Melbourne, Saxons Training Facilities, Level 8, 500 Collins Street
Melbourne, Victoria 3000 Australia
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This course is for experienced machine-learning practitioners who want to take their skills to the next level by using R to hone their abilities as predictive modellers. Trainees will learn essential techniques for real machine-learning model development, helping them to build more accurate models. In the masterclass, participants will work to deploy, test, and improve their models. Topics covered will include data exploration, data preparation, feature engineering, and prediction, using advanced modelling techniques including glmnet, xgboost, and random forests. Participants…

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Fraud and anomaly detection: Sydney, 27–28 November 2018

November 27 @ 9:30 am - November 28 @ 5:00 pm
BCA, Sydney, BCA, Level 1, 65 York Street
Sydney, New South Wales 2000 Australia
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This 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 do not rely on explicit fraud labels, as well as a range of outlier-detection techniques including unsupervised learning methods, notably the powerful random-forest algorithm, which…

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