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Can't join us in person? Join our livestream here: https://sixfeetup.zoom.us/webinar/register/WN_5um9DdaDRiigdQr_ZWfiQw Agenda: 12:00p - 12:10p Introductions/Order Food 12:10p - 12:40p Presentation "Machine Learning with Splunk" by Sundaresh Ramanathan (Kinney Group) and David Muegge (Splunk) Splunk is a powerful data platform as well as a rich development environment. Machine Learning can be applied to Splunk data easily using various methods. Sundaresh will provide an overview of Splunk and Machine Learning as well as the various ways ML can be applied in Splunk. David will go a little deeper into how Python can be used to extend Splunk ML capabilities with your own custom algorithms. 12:40p - 12:50p Q&A 12:50p - 1:00p Networking/Pay your Bill
Can't join in person? Join our livestream here: https://sixfeetup.zoom.us/webinar/register/WN_b4xDZeGpTzyIHKb4jjd72A Agenda: 7:00p - 7:15p Announcements and introductions 7:15p - 7:30p PBJ Session "Convolutional Junction...What's your function?" by Keith Brooks In this talk, I'll give you an overview of Convolutional Neural Network for Image Classification. We'll discuss what a CNN is, feature learning and classification. 7:30p - 7:45p Right Brain Talk "Technology is generic and doesn't actually solve your problem" by Jason Pennington IoT or internet of Things is more than a buzzword. It’s a reality. It’s here. It’s our role to foster deployments that are meaningful, productive, or add convenience. IoT represents a great opportunity to drive change and solve problems. At the same time however, technology is becoming increasingly approachable and available. Our discussion will center around technology as a generic concept while pursuing a greater goal of creating context, aligning technology to problems, and fostering outcomes. 7:45p - 8:00p Door Prizes 8:00p - 8:45p Pro Talk "Monte Carlo Simulations in Python" by Sam Eschker From computational finance to computer vision, Monte Carlo methods allow us to model elusive scenarios where other models fall short. In this talk, we’ll discuss the power and capability of random variable generation and work through a few simulations while we’re at it!
>>>>>> Registration is now open. https://2019.indypy.org/pydata <<<<<<< IndyPy is excited to hold the second annual PyData Indy - and we’re bringing it to downtown Indy! Save the date: October 11th, 2019 - 8am - 5pm Regions Tower 211 N Pennsylvania St, Indianapolis, IN 46204 We have some fantastic talks lined up, including: - Use Apache-Airflow to Build Data Workflows - How to Roll your own Dockerized Jupyter Environment - Business Impact of Industry 4.0 - Data Analytics with the Big Data NIST Reference Architecture - What Is Machine Learning, And How Do I Get Started? - Deep Learning Support at Indiana University - AND MORE! Register now! - http://bit.ly/WebConf19 Early bird pricing is $95/person until September 13th. On September 14th, General Admission increases to $135/person. Student pricing is also available for $75/person with valid student ID. Join us for this conference focused on PyData, meet fellow Pythonistas, and party with the Sixies. More information can be found at: https://2019.indypy.org/pydata
Can't make it in person? Join our livestream here: https://sixfeetup.zoom.us/webinar/register/WN_Rs5rkm_tQYq6VYI4AWU4hQ Agenda: 12:00p - 12:10p Introductions/Order Food 12:10p - 12:40p Presentation "Applying Data Science to IoT" by Zach Cardwell Data Science helps make sense of data using artificial intelligence, mathematical hacks, and statistics. But as more and newer IoT devices become available, the traditional techniques don't scale nearly as well as they need to, prompting a mathematical pivot. This talk will detail approaches in data science to analyze at scale, with helpful technology and concepts that will be necessary as IoT grows as a sector. 12:40p - 12:50p Q&A 12:50p - 1:00p Networking/Pay your Bill