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

Amir Issaei
Data Science Consultant, Databricks

Amir Issaei is a data science consultant at Databricks, where he educates customers on how to leverage the company’s Unified Analytics Platform in machine learning (ML) projects. He also helps customers implement ML solutions and use advanced analytics to solve business problems. Previously, he worked in the Operations Research Department at American Airlines, where he supported the Customer Planning, Airport, and Customer Analytics Groups. He holds an MS in mathematics from the University of Waterloo and a BE in physics from the University of British Columbia.

Sessions

9:00 - 17:00 Monday, 29 April & Tuesday, 30 April
Large-scale ML with MLflow, deep learning, and Apache Spark
Data Science, Machine Learning & AI
 Location: Capital Suite 17
Secondary topics:  Deep Learning, Model lifecycle management
Amir Issaei (Databricks)
Average rating: *****
(5.00, 1 rating)
Join Amir Issaei to explore neural network fundamentals and learn how to build distributed Keras/TensorFlow models on top of Spark DataFrames. You'll use Keras, TensorFlow, Deep Learning Pipelines, and Horovod to build and tune models and MLflow to track experiments and manage the machine learning lifecycle. This course is taught entirely in Python. Read more.