AI & ML Online Developer Summit

8:45AM PDT / 11:45AM EDT
REGISTER : http://ibm.biz/online-developer-summit

Join IBM Developer for the very first online AI and ML Summit. The AI and ML Summit is an exciting half day of talks, workshop and virtual networking with speakers from Twilio, Weights and Biases, IBM and others. While we are not able to provide real food, we will be giving out virtual 🍕s!

Free and open to all - come and learn about AI, Machine Learning, Data Science, how to leverage AI in the enterprise, and what is the future of AI. Bring your questions and curiosity for learning.

Schedule

8:45 AM
Welcome
Welcome to an Awesome Day of learning!

9:00 - 9:20 AM
Improve Communication Apps with Machine Learning!
Lizzie Siegle (Twilio)

As the great Shakespeare once said, "2B || !2B" (or "to be or not to be"). This talk will go over you how you can improve your communication apps with ML tasks like text analysis and classification via phone calls, SMS, and chat using TensorFlow and other ML libraries.

This session will also feature a live-coding demo and look at performing sentiment analysis, entity analysis, and text classification with neural networks and other deep learning methods so you can best serve customers before they need it or when they want it.

9:20 - 9:40 PM
Explainability in Neural Networks
Lavanya Shukla (Weights & Biases)

9:40 - 10:10 AM
Join this hands-on workshop to create your own deep learning visual recognition model. If this is your first deep learning model, fear not! We will provide you with all the code and tools you need to run it on the cloud. No installation required, just a browser and 30 minutes of your time.

10:10 - 10:30 AM
Testing Machine Learning Models in Production
Eric Schles

Drifter-ml is a testing framework for to help ensure that your machine learning models satisfy the assumptions you made when training your model. In this talk I will walk through the motivations of modeling testing and a few examples of how to use the framework

10:30 - 10:50 AM
Predict the Future with Watson Studio AutoAI
Jenna Ritten (IBM)

Learn how to build and deploy your very own AI predictive models. IBM Watson Studio AutoAI automatically analyzes your data and generates customized predictive model pipelines. It categorizes data as needed, does features engineering and optimizes hyperparameters to get to the best possible model. We will show you how to integrate Watson Studio AutoAI into your projects.

Using AutoAI, you can build and deploy a machine learning model with sophisticated training features and no coding. The tool does most of the work for you. We will walk you through how to deploy your customs models to your application.

The AutoAI process follows this sequence to build candidate pipelines:
Data Pre-Processing
Automated Model Selection
Automated Feature Engineering
Hyperparameter Optimization

10:50 - 11:10 AM
Realtime Object Detection in the Browser with TensorFlow.js
Nicholas Bourdakos (IBM)

Whether you are counting cars on a road or people stranded on rooftops in a natural disaster, there are plenty of use cases for object detection. Often times, pre-trained object detection models do not suit our needs and we need to create our own custom models.

How can we utilize machine learning to train our own custom model without substantive computing power and time?
Answer: Watson Machine Learning.

How can we leverage our custom trained model to detect object’s, in real-time, with complete user privacy, all in the browser?
Answer: TensorFlow.js.