Big Data & AI Conference Workshops

All workshops will take place between 8 a.m. to 4 p.m., Thursday, June 27, 2019.

End-to-end Machine Learning with TensorFlow on Google Cloud Platform

Target Audience

Developers, Data Scientists, and Machine Learning Engineers.

Date: Thursday, June 27, 2019

Time: 1 p.m. – 4 p.m.

Instructors: Karl Weinmeister (Cloud AI Advocacy Manager, Google) and Fatih Nar (Customer Engineer, Google)

Location: Acacia Room, Addison Conference Centre

Workshop Summary

In this workshop, we walk through the process of building a complete machine learning pipeline covering ingest, exploration, training, evaluation, deployment, and prediction. Along the way, we will discuss how to explore and split large data sets correctly using BigQuery and notebooks.

The machine learning model in TensorFlow will be developed on a small sample locally. The preprocessing operations will be implemented in Cloud Dataflow, so that the same preprocessing can be applied in streaming mode as well. The training of the model will then be distributed and scaled out on Cloud ML Engine. The trained model will be deployed as a micro-service and predictions invoked from a web application.

What You'll Learn

Attendees will solve a data science problem from start to finish, learning how to preprocess data, create a model, and then deploy the model.

Workshop Outline

  1. Explore data
  2. Creating a sampled dataset
  3. Create Tensorflow Wide-and-Deep model
  4. Preprocessing using Cloud Dataflow
  5. Training on Cloud ML Engine
  6. Deploy trained model
  7. Automate
  8. Run client applications

Workshop Instructors

Karl Weinmeister

Cloud AI Advocacy Manager, Google

Karl is a Manager of Cloud AI Advocacy at Google, based in Austin, TX. He leads a global team of data science and engineering experts who engage with users at events, build impactful content, and influence Google product strategy. Previously, he was Director of Engineering at SparkCognition, where he led cross-functional teams that included building an ML-based malware detection.

Karl holds a BS in Computer Science from Duke University, and an MBA from the University of Texas at Austin.

Fatih Nar

Customer Engineer, Google

Fatih is a Cloud Customer Engineer at Google where he has been guiding his customers in their virtualization, cloud on-boarding and big data journey. Fatih held senior engineering positions previously in Verizon Wireless as Distinguished Engineer, in Canonical/Ubuntu as Senior Solution Architect and in Ericsson as Senior Solution Architect across different parts of the world with technology areas, including NFV/SDN, Cloud, IP-TV, Connected/Smart Home and Vehicles.

Fatih holds an MSc in Information Technologies and a BSc in Electronics Engineering.

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The second workshop that will be conducted on Day 1 of Big Data & AI Conference is Robotic Process Automation for Professionals. Click the big, yellow button for detailed info about the workshop.

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Eyes in the Sky

The book is yours - free

Gorgon Stare is the name of an aerial surveillance system built by the Pentagon that can track 1,000 moving targets simultaneously. It has been used successfully in combat and, without permission, over some cities in the US.

Using info derived from his Pentagon sources and the companies that built the system, the author gives an account of how Gorgon Stare was built, and which businesses and US police departments want to get their hands on it.

Eyes in the Sky will be published just before Big Data & Conference starts, and the author is a confirmed speaker and panelist.

Each conference attendee will receive a copy of the book – gratis.

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