Introduction to Machine Learning (Python)

Introduction to Machine Learning (Python)

By Curtin Institute for Data Science

Date and time

Mon, 27 Aug 2018 9:00 AM - 5:00 PM AWST

Location

Curtin University

Building 216, Room 201, Bentley WA 6102, Australia WA 6102 Australia

Refund Policy

Refunds up to 1 day before event

Description

This workshop will introduce machine learning concepts through a mixture of lecture and hands-on coding. The aim is to teach a basic understanding of designing machine learning workflows for supervised and unsupervised learning approaches, classification and regression methods and model tuning. The workshop will be taught by Dr. Kevin Chai and Dr. Rebecca Lange from the Curtin Institute for Computation.

Who: The course is aimed at postgraduate students and researchers as well as professional staff who would like to know more about ML. The course will provide a general overview and is designed to help inform participants about which ML techniques work for different types of data and problems.


Prerequisites: A working knowledge of Python and Jupyter notebooks is essential for this workshop. i.e. knowledge of basic data structures, operations and how to write scripts. The notebooks used throughout the workshop have been developed to be compatible with Python 2.7x and 3.x but may require some Python packages to be updated to the most recent version (e.g. scikit-learn). No prior knowledge of machine learning is expected.


Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (a detailed list will be send out prior to the workshop).


Topics covered:
  • Data preparation
  • Exploratory data analysis
  • Classification
    • Cross validation
    • Learning curves
    • Model tuning
    • Reporting
  • Regression
  • Clustering
  • Dimensionality reduction


Catering: Morning and Afternoon Tea are provided, lunch is self-catered.


If you have any special requirements to enable you to participate at this event please advise when you RSVP or email the Curtin Institute for Computation. We will contact you to provide assistance. For information about disability services at Curtin, please visit disability.curtin.edu.au.

Organised by

Curtin Institute for Data Science

The Institute supports a growing network of SMEs, external organisations, government departments, researchers, co-operative research centres, and not-for-profits across various sectors such as, but not limited to, health sciences, manufacturing, transport, art and culture, astronomy, agriculture, and aquaculture. At present the Institute would typically contribute to 30-40 research projects per annum, working with over 50 external organisations.

Sales Ended