CSIRO is holding a 2-days multidisciplinary workshop on Machine Learning that will integrate the most fundamental theory, cutting-edge technologies and its real-world implementations in this field.
The Machine Learning workshop aims to:
Amongst the invited trainers and speakers are scientific and technical leaders in this field from CSIRO.
Machine Learning Workshop: http://wp.csiro.au/c3dis/workshops/advanced-machine-learning-for-science/
Please read the information on this this link about how to prepare before the training: https://github.com/piotrszul/spark-tutorial
|09:00 am – 10:30 am||Hands-on Lab for Basic Intro and Overview to Machine Learning
· Un-/Supervised ML
· Dimension Reduce
· Anomaly Detection
· Recommendation System
|10:30 am – 11:00 am||Morning Tea and Networking|
|11:00 am – 12:00 am||Hands-on Lab for Introduction to Working with Structured Data with Apache Spark in Python
· Introduction to data frames
· Analyzing data with data frames (grouping, aggregating etc.).
· Working with structured data formats (CSV, JSON, parquet)
|12:00 pm – 13:30 pm||Lunch and Networking|
|13:30 pm – 15:00 pm||Hands-on Lab for Machine learning with Apache Spark in Python
· Training simple ML regression and classification models
· Model validation and evaluation
· Basic feature engineering
· Machine learning pipelines
· A case study: application to a Kaggle competition
|15:00 pm – 15:30 pm||Afternoon tea and networking|
|15:30 pm – 16:30 pm||Hands-on Lab for Introduction to SparkR and Running Apache Spark at Scale
· Introduction to Spark in R
· Running spark on the Cloud and a cluster
|16:30 pm – 17:00 pm||Q&A|
What you need to bring for Hands-on Labs:
All audience must bring their own laptop:
Monday 17th July, 2017.
Room: Clarendon A, level 5.
Melbourne Convention and Exhibition Centre
1 Convention Place, Melbourne, Victoria
Baichuan Sun: Baichuan.Sun@data61.csiro.au
The C3DIS 2017 will bring together researchers with computational and data science specialists from CSIRO, publicly funded research organisations and other invited institutions and organisations. This will enable attendees to share their science outcomes and learnings, and build a community of practice around Computational and Data Intensive science.
Free for CSIRO staff and invited participants