Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Melinda King

Melinda King
Google Authorized Trainer, ROI Training

Melinda King is a Google Authorized Trainer at ROI Training, 2017’s Google Cloud Training Partner of the Year. Melinda brings 30+ years of progressive experience with a unique combination of technical, managerial, and organizational skills. She has done solution design, development, and implementation using Google products including Compute Engine, App Engine, Kubernetes, Bigtable, Spanner, BigQuery, Pub/Sub, Dataflow, and Dataproc. Her expertise includes applying data science algorithms on big data to produce insights for optimizing business decisions. Melinda is also a Microsoft Certified Trainer with certifications for Azure, SQL Server, and Data Management and Analytics. Melinda spent 20+ years serving as a member of the US Marine Corps.

Sessions

9:00–12:30 Tuesday, 30 April 2019
Serverless machine learning with TensorFlow: Part I
Data Science, Machine Learning & AI
 Location: Capital Suite 2/3
Secondary topics:  AI and Data technologies in the cloud, Deep Learning
Melinda King (ROI Training)
Average rating: ***..
(3.00, 8 ratings)
Melinda King offers an introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, you’ll learn machine learning (ML) and TensorFlow concepts, and develop skills in developing, evaluating, and productionizing ML models. Read more.
13:30–17:00 Tuesday, 30 April 2019
Serverless machine learning with TensorFlow: Part II
Data Science, Machine Learning & AI
 Location: Capital Suite 11
Secondary topics:  AI and Data technologies in the cloud, Deep Learning
Melinda King (ROI Training)
Average rating: ***..
(3.12, 8 ratings)
Melinda King offers an introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, you’ll learn machine learning (ML) and TensorFlow concepts and develop skills in developing, evaluating, and productionizing ML models. Read more.