Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
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Serverless machine learning with TensorFlow: Part I

Melinda King (ROI Training)
9:00–12:30 Tuesday, 30 April 2019
Data Science, Machine Learning & AI
 Location: Capital Suite 2/3
Secondary topics:  AI and Data technologies in the cloud, Deep Learning
Average rating: ***..
(3.00, 8 ratings)

Who is this presentation for?

  • Data scientists and those interested in ML

Level

Beginner

Prerequisite knowledge

  • Basic proficiency with a common query language such as SQL (useful but not required)
  • Experience developing applications using a common programming language, such as Python (useful but not required)
  • A working knowledge of data modeling and extract, transform, and load activities (useful but not required)
  • Basic familiarity with machine learning and/or statistics (useful but not required)

Materials or downloads needed in advance

  • A laptop

What you'll learn

  • Learn how to identify use cases for machine learning, explore a dataset, create ML datasets, and create a benchmark
  • Get started with TensorFlow, including use of tf.estimator, dealing with input data, performing feature engineering, and building and training models

Description

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 ML and TensorFlow concepts and develop skills in developing, evaluating, and productionizing ML models.

This is the first segment of a two-part tutorial.

Photo of Melinda King

Melinda King

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.

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Comments

Gerald Zauner | PROF.
2/04/2019 20:21 BST

Hi,
I would be interested in possible aplications in the field of predictive maintenance (classification or regression e.g. of sensor signals). Is this topic also covered?