Predictive API’s Machine Learning as a Service

Predictive APIs (PAPIs) provide cloud based machine learning services at scale and are rapidly gaining momentum as applications that leverage machine learning are built on mass. We are fortunate to have four speakers that are here to present at the PAPIs 2015 (http://www.papis.io/2015) conference in Sydney (Aug 6 - 7) to give us a preview into this exciting new area.

Please join us at Level 3, Sydney Hilton Hotel 488, George Street from 5.30pm. The event will begin at 6pm.

This month, Big Data Analytics Meetup is teaming up with IAPA (http://www.iapa.org.au/) to bring you four companies at the forefront of this technology and learn about the new developments and trends in PAPIs and how to use them to harness the power of machine learning at scale. We have the pleasure of having 4 of the international conference speakers from PAPIs 2015 (http://www.papis.io/2015): 1) Danny Lange: General Manager at Amazon will present the Amazon Machine Learning

2. Yan Zhang: Data Scientist at Microsoft will present the Microsoft Azure Machine Learning

3. Konstantin Davydov: Software Engineer at Google will present the Google Prediction API.

4. Poul Petersen: Chief Infrastructure Officer at Big ML will take us through what others are doing with predictive technology.

This is a fantastic opportunity for us all to learn how to use machine learning in your apps and solutions. It is a unique opportunity to meet the international leaders in this field.

Presentations will be 15 mins each and will be followed by Q&A.

About PAPIs 15 (http://www.papis.io/2015)

PAPIs (http://www.papis.io/) is the International Conference on Predictive APIs (https://papis.squarespace.com/#predictive-apis) and Apps (https://papis.squarespace.com/#predictive-apps), taking place annually. It is the premier forum for the presentation of new machine learning APIs, techniques, architectures, and tools to build predictive applications. It brings together practitioners from industry, government and academia to present new developments, identify new needs and trends, and discuss the challenges of building real-world predictive applications. PAPIs' audience includes developers, data scientists and researchers, but also non-technical types. The 2nd edition of the conference, PAPIs 15 (http://www.papis.io/2015), will be held in Sydney on 6-7 August 2015 (right before KDD (http://www.kdd.org/kdd2015/)).

As we are collecting more and more data about what people do, we are also seeing a growing number of Predictive APIs that are making it easier to apply Machine Learning to that data — and thus to create Predictive Apps. These APIs abstract away some of the complexities of creating and deploying predictive models. They make machine learning more accessible to developers. They also allow them to spend more time on user experience, getting data, experimenting and delivering value from data.