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Phoenix, AZ /

Machine learning for Business Networks

University of Advancing Technology 2625 W Baseline Rd Theater, Tempe, AZ 85283 (map)


* 6:30 pm - 7:30 pm: Machine learning for Business Networks - Raghav Jandhyala

* 7:30 pm: Raffle & Networking at UAT

Room No: 136 (Theater), University of Advanced Technology

Topic: Machine learning for Business Networks


We live a world of inter-connected networks i.e. Social Networks (Linked In, Facebook, etc.), Economic Networks, Supply Chain Networks, Business Networks, Health Networks, etc.)

and understanding how the networks work, who is most influential in the network and applying AI in Networks is a game changer for Industries and Academia.

In this session, we will explore Machine Learning for Network Analysis and its real-world applications. We will cover several exciting topics and a hands-on python lab including:

1. Types of Networks

2. Network Concepts like Network Density, Clustering Co-efficient, Centrality, etc.

3. Network Models, Random vs Real Networks

4. Learning in Networks

5. Real-World scenarios and fun projects e.g. Shakespeare Play Analysis using NLP and Networks

We will cover a demo along with a hands-on exercise on how to analyze and cluster a network using NetworkX package in Python.

Speaker: Raghav Jandhyala

Raghav Jandhyala is a Sr. Director of Product Management at SAP for Intelligent Enterprise and Digital Supply Chain. Author of three books on Digital Supply Chain, Raghav has over 16 years of experience in different fields like Supply Chain Management, Retail and Finance along with a strong technical background in Big Data, Cloud and Machine Learning, and drives development & adoption of business applications. He has a Masters in Computer Science from Southern Illinois University along Advanced Machine learning and AI from Harvard University. Raghav works with Strategic Customers for new product innovations and as a trusted advisor for their Business Transformations. Raghav is also a Guest Speaker at ASU WP Carey School of Business, Phoenix Startups and a mentor at Phoenix Data Science Meetups.


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