Introduction to Tensorflow and the Google Cloud Platform
Machine Learning is considered by many Tech companies such as Google, Facebook, and Apple as the next frontier in technology with the ability for it to transform the way in which we live our lives. As such it is important for data scientists and data engineers to understand what machine learning actually is, and how to implement them. As such I will take you through a basic tutorial on how to implement a prediction model using Tensorflow, Google’s Machine Learning Framework using Google’s Cloud DataLab.
It is recommended to bring your laptop to this seminar with Python3 and pip installed.
Date and Time
Location
Hosts
Registration
- Date: 20 Apr 2017
- Time: 06:00 PM to 08:00 PM
- All times are (UTC+10:00) Brisbane
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- Level 2
- 282 Wickham St
- Fortitude Valley, Queensland
- Australia 4000
- Building: River City Labs
- Starts 04 April 2017 12:00 AM
- Ends 20 April 2017 05:00 PM
- All times are (UTC+10:00) Brisbane
- No Admission Charge
Speakers
Randall Fernando
Biography:
Randall is a Multi-Award Winning Software Engineer within the Suncorp Digital Marketplace with a background in social statistics and IT and a passion for Data Science and innovative technologies. He has won awards for using Data in innovative ways from the Australian Government, Data 61, Advance Queensland, DSITI, CSIRO, Hitachi, River City Labs, ODIQ, Climathon KIC, ESRI, UQCS and the Brisbane City Council. He has also received training in the Google Cloud Platform including CPB100 and CPB101, and has done a number of presentations on Data Science within Suncorp and externally. In addition to this he took part in a unique 3 month Intrapreneurship Program at River City Labs where he and his team built a successful Tech Startup. In his spare time, he has also been involved in volunteering in a technical capacity for a number of groups including Techfugees (as a Mentor), Random Hacks of Kindness (as a Volunteer Hacker), Rails Girls Brisbane (as a Mentor) and Hacks for Humanity (Volunteer Hacker).
Randall Fernando
Biography: