Building Great Machine Learning Products With Unlabeled Data | Ankur A. Patel

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👨🏽‍🏫 Session's Guest Facilitator: Ankur A. Patel.
* Co-founder, Head of Data at Glean Company (New York).
* Co-founder, Managing Partner at River AI Consulting.
* Best-selling Author, "Unsupervised Learning with Python" Book on Amazon.

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WORKSHOP DESCRIPTION

This week's guest facilitator is Ankur A. Patel. Ankur A. Patel is currently the co-founder of a stealth-mode startup and the co-founder and managing partner at River AI Consulting, a boutique AI consulting practice to help organizations design and execute data strategies involving data science, machine learning, and data engineering. The portfolio includes work in computer vision, natural language processing, data normalization, anomaly detection, clustering, recommender systems, and predictive modeling.

The talk will focus on products involving anomaly detection (e.g., fraud, hacking, disease detection) and clustering (e.g., user and group segmentation).

Ankur introduces;
In this workshop, you are going to be learning;
✅ What unsupervised learning is all about,
✅ What place unsupervised learning has in the ML ecosystem,
✅ How to get started with unsupervised learning, tips, and tricks for designing great unsupervised learning-based products, etc.

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👩🏼👨🏼Audience: Intermediates to Advanced practitioners in Data Science and Machine Learning

🧠Prerequisite:
* You must be familiar with Machine Learning concepts and terminologies.

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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;

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