If you thought creative industries had little to do with artificial intelligence (AI) and machine learning, then it’s time to think again. AI and machine learning are already transforming the business of creating and producing digital media, as well as content management, distribution and consumption, and much more.
For example, if you’re using a video or music streaming platform such as Netflix or Spotify, then guess what: there’s AI and machine learning at work thanks to the creation of massive datasets. Just ask Siri!
If you want to get to grips fast with the broad concepts of AI, data science, and machine learning, then take advantage of a special offer through the Creative Industries Knowledge Hub for a Tech X Masterclass on Artificial Intelligence and Machine Learning at UTS Faculty of Engineering and IT on May 9, 2019.
By using the code CIKH when registering you will be able to receive a 66% reduction on the normal masterclass fee. This is a limited offer.
This masterclass will be presented by Richard Xu, Associate Professor in Machine Learning, and the Director of the Data Lounge at UTS.
For further specific queries, contact Steven Crooks at the UTS Faculty of Engineering and IT: Steven.Crooks@uts.edu.au.
Full details of the masterclass below.
This half-day masterclass will focus on the broad concepts of data science, machine learning, and artificial intelligence, focusing on the basic algorithms needed to successfully transform data into useful knowledge. The objectives of this masterclass are to give a general introduction of what machine learning is, how it can be used, and an explanation of the tools/algorithms used to properly implement machine learning.
Who will benefit
This course is suitable for anyone interested in learning more about AI and machine learning.
- Introduction to AI/ Machine Learning
- Examples of how these technologies are being applied today
- Examples of where technologies are likely to go
- Machine learning fundamentals
Those completing this course should be able to:
- Develop an understanding of artificial intelligence fundamentals
- Develop an understanding of machine learning fundamentals
- Identify priority knowledge gaps to prepare for further in depth studies in the field of data science