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Tag: meetup

Blog Events

PyData Sydney – July 2019

 

 

This month, PyData was hosted by Intellify at the very slick Executive Centre in Sydney’s CBD. Although seats were limited, the room filled up quickly and was bustling with chatter in only fifteen minutes.

 

Soft drinks and pizza were enjoyed by all and the crowd of data scientists, analysts, and other machine learning enthusiasts did not need any encouragement to get their networking going!

The first presentation of the evening was from Senior Data Scientist Ammar Mohemmed. He gave an introduction into Optimisation using Python. His presentation was technical as well as practical – with lots of useful examples from real-life scenarios where price and quantity were involved. His presentation made clear that while machine learning and artificial intelligence technology is an absolute time saver and more accurate than manual human calculations, there will always be a need for human analysis from a business perspective to re-check the suggestions that the models generate.

 

 

The second presentation was from another data scientist from Intellify, Jordan Wade. He presented an algorithm that combines both genetics and neural networks – called NEAT (NeuroEvolution of Augmenting Topology). He enlightened us on how neural networks in artificial intelligence can evolve in a similar way that biological life does (except the technology is much more sophisticated in many ways). Evolutionary algorithms always heavily mirror biology, neuroevolution being no different in this respect.

 

The presenters answered questions and conversed with members of the PyData community and the evening concluded.

 

We would like to thank our venue host and all the members of the Pydata community who joined July’s meetup. We hope to see more of you next time!

For more information about Pydata and our events please click here. Follow us for more events where you can hear from practicing data scientists on their experiences machine learning methods. Proudly hosted by Pydata Sydney’s sponsor – Intellify the 2019 AWS Partner of the Year in Data, Machine Learning and Analytics.

Blog Events

May Deep Learning Sydney: Sponsored by Intellify

 

Deep Learning Sydney is a meetup group for anybody who has skills or an interest in the hottest area in Machine Learning – deep learning! From data scientists, to researchers, to developers, to companies, to investors, and finally to entrepreneurs. May’s Deep Learning Sydney Meetup was sponsored by Intellify and hosted at AWS.

Pizza and ciders, provided by the sponsors, fed the excitement of the attendees and speakers as the room filled up. Once 100 or so attendees were satisfied and seated, the evening kicked off with a few housekeeping words from the meetup co-founder Andy Zeng and (after some encouragement from the audience) Professor Richard Xu gave an opening speech.

Kale Temple, the co-founder and practice director at Intellify, was introduced. Kale has worked in analytics and data science consulting for more than 5 years and has helped a number of the world’s leading corporate and government organisations to deliver high impact data projects. He is currently an Honorary Affiliate of the University of Sydney’s Business School. Kale gave a short presentation on time-series. Time-series, as a field of study, has largely focused on statistical methods that work well under strict assumptions. Specifically, when there is sufficient history, there is little meta-data and a well-formed auto-correlation structure. However, as an applied practitioner I know that most real-world time series problems violate these assumptions. This leaves us with an opportunity to use more modern time series methods, based on machine learning (and deep learning), to overcome these deficiencies. This session is designed to briefly speak about the unique properties of time-series, how statistical methods work and how and why machine learning (and deep learning) methods can be used to improve accuracy.

Next up was Erica Huang, a first-class graduate from the University of Sydney and a current PhD student at the University of Technology Sydney who is specialising in probabilistic Deep Learning Generation. Erica showed a series of demos using TensorFlow 2.0 which included several examples highlighting the new features of TensorFlow 2.0. Her demos compared and contrasted TensorFlow 2.0 to the features of TensorFlow 1.0.

 

 

The evening came to a conclusion with Andy Zeng giving his usual updates about what is new in Deep Learning. Here he updated us on all the new happenings in Deep Learning in the last six months. After the presentations were finished, the attendees and speakers were able to socialise and ask questions about the presentations and the world of Deep Learning in Sydney and beyond. The event was informative as well as entertaining (and very long overdue). Thank you to Intellify for sponsoring the meetup, to AWS for hosting the evening, and the Deep Learning Sydney Meetup Group for enabling people from all industries and places to come together and share a few hours of common interest in one topic: Deep Learning.

Events

Join Us – Deep Learning Sydney Meetup

Tuesday, 28 May 2019
5:45 pm to 7:45 pm

AWS Sydney

Level 37,2 Park St · Sydney
Sign up here: 

 

“The wait is finally over! Thanks to Iman Eftekhari (Intellify) and Koorosh Lohrasbi (AWS) sponsoring our great Deep Learning Sydney Meetup in May!

Andy and I are once again sincerely apologising to all our members for not running a meetup this year yet… So we promise it’s going to be a super fun, informative and exciting event.

The Agenda will be TBA.

Also for AWS security, they do need attendees to register with first and last name.”

 

Blog Events

PyData Sydney Meetup: May 2019

May’s Pydata Syndey Meetup was hosted at a new venue: Optiver Asia Pacific – our sponsor for the event. Just one week after the AWS Summit the buzz from winning AWS Partner of the Year in Analytics, Data, and Machine Learning was still very present!

One of the speakers of the evening, Nick Wienholt, is a consulting data engineer and data scientist with a focus on quantitative finance and the sports gaming industry. He spoke about how to quickly scale a local Jupyter notebook using Keras and Tensorflow to train and execute on Google Cloud using specialised GPUs and TPUs.

 

Our second speaker’s, Vikram Patil, seminar mainly revolved on how data from a csv file can be transformed to dynamic web application, mainly for visualization purposes with fewer code lines. This can be achieved from shiny package, built upon R. The seminar explained – in detail – the code structure and rules to follow while developing a visualization application. Additionally, another package was also explained known as Leaflet (this package is powerful to display location data, for example, latitude and longitude details).

 

The seminar had 3 demos:

Demo 1:

The first demo explained the Rshiny visualisation. With a basic example on how histograms can be varied with an input.

 

Demo 2:

This demo explained how the Leaflet Package can be a powerful application to display the locations on a map.

Example below: various schools in Victoria state.

Data:

Below: Map on Rshiny using Leaflet

The number explains the schools inside the regions, for example, around 635 schools around Melbourne region.

 

Demo 3:

The below data in Microsoft Excel is mainly about Coral bleaching across great barrier reef.

 

Below is the web application developed through Rshiny, which displays the different coral bleaching across various sites.

 

Overall, the event was another informative and entertaining one. The pizzas and drinks were a great bonus too! Thanks to our sponsor Optiver for the opportunity and venue.

Don’t miss out on our next PyData Sydney event. Book your place here: https://www.meetup.com/en-AU/PyData-Sydney/events/nvlxxqyzjbhb/.

Look forward to another exciting PyData Event in June!