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How to Get Started with AI and ML!

Summary

Responsible AI is reaching new heights these days. Companies have started exploring Explainable AI as a means to explain the results better to senior leadership and increase their trust in AI Algorithms. This workshop will entail an overview of this area, importance of it in today’s era, and some of the practical techniques that you can use to implement it. As a bonus, it will also cover some industry use cases and limitations of these techniques.

Join me in unboxing this black box!

Learn how you can apply AI in your field without extensive knowledge in programming. This hands-on session includes a quick recap on the fundamentals of AI and two exercises where you will learn how to classify human activities using MATLAB® interactive tools and apps:

– Accessing and preprocessing data acquired from a mobile device
– Classifying the labeled data using two apps: The Classification Learner app and the Deep Network Designer app
– At the end of the workshop, you will be able to design and train different machine learning and deep learning models without extensive programming knowledge. In addition, you will also learn how to automatically generate code from the interactive workflow. This will not only help you to reuse the models without manually going through all the steps but also to learn programming or advance your coding skills.

During the workshop, we show a simple exploratory data analysis using Deepnote. We will focus on personal data from Camino de Santiago pilgrimage which we retrieved from our Strava API and show you how to get it from your own device. Using this data we explain a theory about Exploratory Data Analysis and show some use cases.

This workshop aims to enable young data scientists to start their first ML project.

It would help them understand the process from gathering data to building their ML model. Building an ML model is easy, but building it the correct way is a lot harder than known.

Event Program

August 31, 2022

8:00 AM - 9:00 AM
9:00 AM - 10:00 AM

Low-Code AI: Making AI accessible to everyone

Gaby Arellano Bello

Neha Sardesai

10:00 AM - 11:00 AM
11:00 AM - 12:00 PM

*All times are UTC -8

Workshop Instructors

Supreet Kaur

Assistant Vice President, Morgan Stanley

Gaby Arellano Bello

Senior Application Engineer in Education, MathWorks

Neha Sardesai

Senior Education Application Engineer, MathWorks

Tereza Vaňková

Software Engineer, Deepnote

Alleanna Clark

Data Science & Community, Deepnote

Manogna Mantripragada

Senior Data Scientist, Slalom

Videos

Introduction to Explainable AI | Supreet Kaur

TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , Software Design and Engineering , Values

Low-Code AI: Making AI accessible to everyone | Mathworks

TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Data Wrangling , Software Design and Engineering , Values

Exploratory data analysis using personal data from Strava and Apple Watch | Deepnote

TOPICS: Algorithms , Data Generation/Collection , Data Science as a Career , Foundations (Mathematics/Statistics) , Software Design and Engineering , Values

Baby steps towards building your first ML model | Manogna Mantripragada

TOPICS: Algorithms , Data Generation/Collection , Data Wrangling , Foundations (Mathematics/Statistics) , Values