Should You Believe What You See? Using Visualization & De biasing Techniques to keep your Data Honest.

Using Data Visualization to Counter Bias will explore ways that data visualization techniques can help you, and your audiences, avoid conscious and unconscious biases, as well as other cognitive traps so you can clearly see the truth behind the data.

The course is taught by Hunter Whitney. Whitney is a Sr. Director of UX. He is also an Instructor who teaches Data Visualization and UX Strategy for UC Berkeley Extension and Coursera. He is also the Author of Data Insights: New Ways to Visualize.

This Bootcamp Primer: AI Ethics and Predictive Policing will introduce the 3 main pillars of artificial intelligence ethics such as Fairness, Accountability, and Transparency by exploring one of AI’s most controversial applications: so-called “predictive policing.” 

Predictive policing is the use of AI to forecast when and where crimes will take place and distribute law enforcement resources accordingly. 

But the practice has been criticized as being racist, opaque, and unaccountable. Join us for a discussion to explore whether these charges are justified. 

This class will serve as an introduction to the history and applications of predictive policing, as well as an introduction to the issues of fairness, accountability, and transparency in artificial intelligence ethics, from the perspective of moral philosophy.

Instructor Bio: The course is taught by Dr. Ryan Jenkins. Dr. Ryan Jenkins is an associate professor of philosophy and a senior fellow at the Ethics + Emerging Sciences Group at California Polytechnic State University in San Luis Obispo.

How to hack together (from afar) Master Class is a highly interactive chat on how to work together quickly and effectively towards accomplishing your hackathon goals at a distance.

Useful for new “hackers” without any programming experience and seasoned, highly “technical” ones alike, this bootcamp will be a mix of theory and hands on application of some best of breed tools, technologies, and methodologies.

The course is taught by Taurean Dyer, Technical Product Manager at NVIDIA.

This Master Class will go over the quickest way to get started in Data Science.

In the class we will use Google Colab – a free hosted Notebook service that takes care of installing, and maintaining all the libraries required for basic data science workflows. It also provides enough computational power and memory to deal with most Data Science tasks.

Instructor Bio: The Master Class is taught by Vineeth Lognathan, Senior Data Scientist, Airbnb and Lead Mentor for the DataEthics4All Ethics4NextGen AI Hackathon.

Vineeth is a Senior Data Scientist at Airbnb, with over 11 years of experience in Data Science/Analytics in the tech industry. He has a Masters in Applied Mathematics from University of Washington, and has worked as a Data Scientist in multiple Fortune 500 companies like Disney, Amazon, and Microsoft prior to Airbnb.

In the class, we’ll go through some basic concepts of Natural Language Processing. 

We’ll also demonstrate common applications of NLP through an open-source NLP library — spaCy and a Notebook service — Google Colab.

The class will cover the following topics:

1. What is Natural Language Processing

2. What can NLP be used for

3. How to analyze and visualize your corpus

4. How to build a basic NLP model

5. How to train and test your NLP model

This Master Class is taught by Alice Zheng, Software Engineer, Airbnb.

With a Master’s in language technologies from Carnegie Mellon University and a Bachelor’s in Computer Science from Peking University, she has over 4 years of research/industry experience in Machine Learning/Natural Language Processing. 

She is passionate about ML and NLP technologies as well as applying them to promoting social justice. 

Preprocessing is probably one of the most important parts of a Data Science project. Data that has not been preprocessed can have unforeseen consequences including bias on protected characteristics. 

A good understanding of data preprocessing is a first step in producing a fair AI System.

In this Master Class, part of the Ethics4NextGen AI Bootcamp Series, you will learn about the basics of data pre-processing and how to use pre-processing to avoid accidentally producing a biased ML System.

This Master Class is taught by Brett Drury, who holds a PhD from the University of Porto and is a Senior Data Scientist at Deeper Insights.

What is your data trying to say to you? 

How quickly can you find out? 

Microsoft Power BI is a business intelligence tool and service that enables you to create interactive visualizations on the fly. 

This course will show you how easy and fun it is to build a data visualization dashboard using Power BI, that both you and an end user can extract limitless insights from.

This Master Class is taught by Kevin Rose Dias, Senior Analyst, MRM.

Dias is a Senior Analyst in Performance and Analytics at MRM. He holds certifications in Adobe, Microsoft, Google and Datorama by Salesforce. 

This Master Class will provide an introduction to the new open-source AI and ML tool, FiftyOne.

Eric Hofesmann, a machine learning engineer at Voxel51 will give a brief overview of the tools ecosystem so you can understand the important gap that FiftyOne fills.

He will demonstrate various use-cases of the tool through interactive demos, including loading and exploring visual datasets in common formats (COCO, VOC, CVAT, etc.) and using FiftyOne to evaluate object detections.

This Bootcamp will introduce the two easy steps for getting started with FiftyOne, and, time permitting, interactively get attendees set up with the tool. Finally, we will describe how to get support and help from us during ther Hackathon; we’re here to make your hacks successes.

Eric Hofesmann received his undergraduate degree in Physics and Computer Science at the College of Charleston and went on to get his masters from the University of Michigan in Computer Science with a specialization in Computer Vision. Eric’s primary works are in the fields of video understanding and developing tools to aid in model training and evaluation.

For any website/mobile app, it is important for them to communicate with servers for either implementing Database CRUD Operations or getting inference from AI Models hosted on a cloud platform. 

APIs help us do that. 

Many people find it hard to work with APIs or develop APIs from the start, especially during hackathons where you’ve a strict time constraint. 

Thus, this course aims to solve this problem by helping participants build basic APIs for their web/mobile apps.

Topics covered in this Master Class will be about applications and the use of data science in them.

Students will gain insights regarding different aspects of Data Science.

Application 1 – Autocorrection 

Application  2 – Snapchat filters 

Application 3 – Word Prediction techniques in Google, Gmail & WhatsApp

Application 4 – Customer reviews on websites like Amazon & Flipkart 

Application 5 – Sports Match predictions 

Application 6 – ALEXA, SIRI, Google Assistant 

Application 7 – Stock pricing 

Application 8 – Loan Credibility