👨🏽‍🏫 Session's Guest Facilitator: Julia Stoyanovich, PhD.
* Assistant Professor of Computer Science and Engineering, Tandon School of Engineering.
* Assistant Professor of Data Science, Center for Data Science, New York University (NYU).

Link to Slides: [ Ссылка ]
LinkedIn: [ Ссылка ]
Twitter: [ Ссылка ]
Professor Julia’s Course Website: [ Ссылка ]
Professor Julia’s Personal Website: [ Ссылка ]
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WORKSHOP DESCRIPTION
This week's guest facilitator is Professor Julia Stoyanovich. She is an Assistant Professor of Data Science at the Center for Data Science, New York University (NYU). She specializes in responsible data science and AI for everyone.

In this workshop, you are going to be learning;
✅ Examples of unethical uses of Data Science and AI.
✅ What bias is in predictive analytics.
✅ How to acquire, curate and use data responsibly.
✅ What fairness is in applying data science responsibly.
✅ Why de-identification of your data does not ensure privacy and fairness.

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👩🏼👨🏼Audience: All levels in Data Science and Machine Learning

🧠Prerequisite:
* You must be familiar with Machine Learning concepts and terminologies.
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This stream is part of the Practical Machine Learning course program offered by the Port Harcourt School of AI. Although registration is closed for the program, you can learn about it here; [ Ссылка ]

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WE JUST LAUNCHED OUR PODCAST SHOW; "THE AFRICAN DATA SCIENTIST".

Visit [ Ссылка ] to listen to our shows

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SUPPORT THE COMMUNITY (🎁💚)

We found the best books for you to get started with Regression Analysis and Machine Learning here [Affiliate Links], you will support the community by purchasing any of them;

- Data Science From Scratch Using First Principles: [ Ссылка ]

- Hands-On Machine Learning With Scikit-Learn, Tensorflow, and Keras: [ Ссылка ]

- Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-learn, and TensorFlow 2, 3rd Edition: [ Ссылка ]

- Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data: [ Ссылка ]

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WANT TO GET EXPERTS' INSIGHTS IN AI AND DATA SCIENCE? CHECK OUT THESE INTERVIEWS WITH EXPERTS

❓Insights In AI and Data Science (Episode 5): Q and A with Aurélien Géron, Former YouTube Product Manager:
[ Ссылка ]

❓Insights In AI and Data Science (Episode 4): Q and A with Sayak Paul, Google Developer Expert (GDE) in Machine Learning: [ Ссылка ]

❓Insights In AI and Data Science (Episode 6): Q and A with Emmanuel Okorie, Data Scientist at Maon Technology, and Formerly at Carbon (PayLater): [ Ссылка ]

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