Boston | April 13th – April 17th, 2020

ML for Programmers

Learn the essentials to become a skilled Artificial Intelligence Engineer

With the rapid growth of Artificial Intelligence comes rising demand for AI engineers and programmers. Ubiquitous AI-driven software that utilizes deep learning and machine learning models to enable conversational AI, autonomous machines, machine vision, and other AI technologies require serious engineering. These projects of the future promise to be some of the most exciting jobs in software engineering today.

An ML engineer works at the intersection of software engineering and data science. At ODSC, build on your programming skills to engineer the next generation of artificial intelligence-enabled software. You will learn from leading experts everything from data wrangling, modeling, and workflow to essential deep learning and machine learning frameworks.

Some of Current ML for Programmers Speakers


Click Here For Full Lineup
2020 Speakers

Focus Area: ML for Programmers, MLOps & Data Engineering      Session: Talk 

Accelerate ML Lifecycle With Kubernetes and Containerized Data Science Tools

Abhinav Joshi, Sr. Principal Marketing Manager, Red Hat


Focus Area: ML for Programmers, Deep Learning      Session: Workshop 

From Research to Production: Performant Cross-platform ML/DNN Model Inferencing on Cloud and Edge With ONNX Runtime

Faith Xu, Senior Program Manager, Microsoft


Focus Area: ML for Programmers, Deep Learning      Session: Workshop 

From Research to Production: Performant Cross-platform ML/DNN Model Inferencing on Cloud and Edge With ONNX Runtime

Prabhat Roy, Data Scientist, Microsoft


Focus Area: ML for Programmers      Session: Talk 

Title Coming Soon!

Austin Rochford, Chief Data Scientist, Monetate Labs


Focus Area: ML for Programmers, MLOps & Data Engineering      Session: Workshop 

Title Coming Soon!

Dan Sullivan, PhD, AI and Cloud Architect & Author, New Relic, Inc | Wiley

What You'll Learn

Talks + Workshops + Special Events on these topics:

ML for Programmers Topics

  • What is AI Engineering 

  • Becoming an ML Programmer

  • Data Science at Scale 

  • Machine Learning for Engineers

  • Deep Learning for Engineers

  • Machine Vision and Autonomous Machines

  • NLP and Speech Recognition

  • and more…

Languages & Frameworks

  • Python SciPy, Pandas, PyMC3, etc

  • R Programming, Keras, CARET

  • Scikit-learn, PyTorch

  • Tensorflow, MXNet, Caffe 2.0, CNTK

  • Spark, MLlib, Storm, Hadoop, Mahout

  • Kubernetes, Kafka, Zeppelin, Ignite

  • Julia, Java, Jupyter Notebooks, NoSql, Neo4J

  • Julia, Java, Jupyter Notebooks, NoSql, Neo4J

You Will Meet

  • Some of the world’s leading AI experts

  • Some of the best minds and authors behind today’s most popular AI platforms

  • Artificial Ingelligence and data science innovators

  • Data science & analytics specialists

  • Developers, engineers and programmers looking to build AI enabled software

  • Hundreds of attendees focused on AI engineering

  • CTOs and Chief Data Scientists from startups and Fortune 500 companies

  • Data scientists, data engineers, and AI platform experts

  • Peers from startups to Fortune 500 companies wrestling with large sets of consumer data

  • Representatives from Government agencies, universities, and other large institutions

Previous Sessions on ML for Programmers Track

  • Workshop: Deciphering the Black Box: Latest Tools and Techniques for Interpretability

  • Talk: Adversarial Attacks on Deep Neural Networks

  • Training: Integrating Pandas with Scikit-Learn, an Exciting New Workflow

  • Workshop: Machine Learning for Digital Identity

  • Talk: Adding Context and Cognition to Modern NLP Techniques

  • Training: Good, Fast, Cheap: How to do Data Science with Missing Data

  • Workshop: Open Data Hub workshop on OpenShift

  • Talk: Practical AI solutions within healthcare and biotechnology

  • Training:  Apache Spark for Fast Data Science (and Fast Python Integration!) at Scale

  • Workshop: Reproducible Data Science Using Orbyter

  • Talk: Combining millions of products into one marketplace using computer vision and natural language processing

  • See the whole schedule!

Why Attend?

Immerse yourself in talks and workshops on AI Engineering frameworks, topics and languages

Learn about AI Engineering from leading AI experts who authored and built many of the platforms in use today

Network and connect with like-minded attendees to discover your next job, service, product or startup

Get speaker insights and training in AI frameworks such as TensorFlow, MXNet, PyTorch, Spark, Storm, Drill, Keras, and other AI platforms

Sign Up for ODSC EAST | April 13th – April 17th, 2020

Register Now