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February 2019

Introduction to R and Data Visualisation: Melbourne, 25–26 February 2019

February 25 @ 9:30 am - February 26 @ 5:00 pm
Wizard Corporate Training, Level 6, 446 Collins Street
Melbourne, Victoria 3000 Australia
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R is the most popular data mining and statistics package in the world, and it is free to use. It is also easy to use thanks to a range of intuitive graphical user interfaces for statistics, data mining, and interactive visualisation. It is used by a growing number of commercial and government organisations, and is also the tool of choice of elite data mining competition winners. R is open source, flexible, and customisable. Over 4,000 R packages are available as…

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Data literacy for everyone: Canberra, 25–26 February 2019

February 25 @ 9:30 am - February 26 @ 5:00 pm
AMC Training Centre, Level 1, 10 Corinna Street
Phillip, ACT 2606 Australia
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With the advent of automation, humans’ role has become to do what computers cannot. Many more white-collar workers—perhaps all of them—will end up “working with data” to some extent. Using data to provide insights and guidance that computers alone cannot requires “data literacy”, which is doubly important for anyone working alongside, supporting, leading, or hiring a data-science and analytics team. Data literacy involves a broad range of skills, including: an appreciation of the language of data understanding uncertainty (expressed as…

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Predictive analytics, machine learning, data science and AI: Brisbane, 25–26 February 2019

February 25 @ 9:30 am - February 26 @ 5:00 pm
Saxons Training Facilities, Brisbane, Level 11, 300 Adelaide Street
Brisbane, QLD 4000 Australia
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Our leading course has transformed the machine-learning and data-science practice of the many managers, sponsors, key stakeholders, entrepreneurs and beginning data-science practitioners who have attended it. This course is an intuitive, hands-on introduction to data science and machine learning. The training focuses on central concepts and key skills, leaving the trainee with a deep understanding of the foundations of data science and even some of the more advanced tools used in the field. The course also covers key issues of…

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Introduction to Bayesian Inference with Stan: Sydney, 27 February–1 March 2019

February 27 @ 9:30 am - March 1 @ 5:00 pm
City Desktop, Sydney, City Desktop, Level 4, 60 York Street
Sydney, NSW 2000 Australia
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Despite the promise of big data, inferences are often limited not by the size of data but rather by its systematic structure. Only by carefully modeling this structure can we take full advantage of the data—big data must be complemented with big models and the algorithms that can fit them. Stan is a platform for facilitating this modeling, providing an expressive modeling language for specifying bespoke models and implementing state-of-the-art algorithms to draw subsequent Bayesian inferences. In this three-day course,…

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Advanced Machine Learning Masterclass: Brisbane, 27–28 February 2019

February 27 @ 9:30 am - February 28 @ 5:00 pm
Saxons Training Facilities, Brisbane, Level 11, 300 Adelaide Street
Brisbane, QLD 4000 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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