This series ended on 2020 June 04.
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You can watch the session recordings below (see session resources).
Overview
Most of the machine learning is focused on building models. But productionizing machine learning takes more than building a model. We need to figure out train the model at scale, how to effectively use GPU and Cloud technologies. And finally how to test, deploy and monitor models.
This series will focus on Machine Learning Engineering (MLE) and DevOps.
This series is organized as weekly sessions. Each session is independent. So you can pick and choose which sessions you want to attend.
This is part of our Learning Series.
This is a live, instructor-led, virtual class.
Can’t attend a live class?
No worries. Sign up and we will email you recordings once they are ready.
This series ended on 2020 June 04.
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Intended Audience
Developers, DevOps, Data Scientists
Series Resources
- Code: github.com/elephantscale/machine-learning-engineering-public
- Session recordings are available below in each session link.
Also here is a handy youtube playlist - Setup instructions to set up a deep learning environment
- Discussion group for questions
- Books: Pragmatic AI
Pre-Requisites
- Some knowledge of machine learning is preferred but not required
- A background in development, data science
What to Bring
- We will provide code snippets for you to learn and experiment
- Please bring a reasonably modern laptop (Corporate laptops with overly restrictive firewalls may not work well; Personal laptops are recommended)
- Want to setup a Machine Learning environment on your laptop?
- Please follow this guide
- or download our docker image elephantscale/es-training
Session Format
- Each session is about 2 hours
- lectures + hands-on
Sessions
Session 1: A Tour of TensorFlow (2020 Apr 09)
Session 2: Speeding up training using GPU and TPU (2020 Apr 16)
Session 3: Monitoring training using callbacks and tensorboard (2020 Apr 23)
Session 4: Training in the cloud using GPU (2020 Apr 30)
Session 5: Model serving (2020 May 14 rescheduled from May 07)
Session 6: Scalable machine learning with Apache Spark (2020 May 21)
Session 7: Ask us anything – Q&A session (2020 May 28)
Session 8 : Final – End to end workshop (2020 June 04)
Presenters
Sujee Maniyam
Sujee Maniyam is a seasoned practitioner and founder of Elephant Scale. He teaches and consults in AI (machine learning and deep learning) and Big Data (Hadoop, Spark, NoSQL) and and Cloud technologies.
He is an open source contributor, author ( ‘Hadoop illuminated‘ and ‘HBase Design Patterns‘) and speaker at conferences. He also advises and mentors various companies and organizations.
Session Recordings (On-Demand)