Thursday 30 September 2021
Starts 18:00 PM
Finishes 22:00 PM
Organized by ODSC Lisbon Data Science
Address: Online event on your device
About this eventThis is a PAID event.
Registration is required: https://aiplus.training/live/network-analysis-made-simple/
Instructor’s bio: Eric J. Ma, Senior Expert II/Investigator III (Data Science & Statistical Learning) | Novartis Institutes for BioMedical Research (NIBR)
Eric is a data scientist at the Novartis Institutes for Biomedical Research. There, he conducts biomedical data science research, with a focus on using Bayesian statistical methods in the service of making medicines for patients. Prior to Novartis, he was an Insight Health Data Fellow in the summer of 2017, and defended his doctoral thesis in the Department of Biological Engineering at MIT in the spring of 2017.
Eric is also an open-source software developer and has led the development of pyjanitor, a clean API for cleaning data in Python, and nxviz, a visualization package for NetworkX. In addition, he gives back to the open-source community through code contributions to multiple projects.
Have you ever wondered about how those data scientists at Facebook and LinkedIn make friend recommendations? Or how epidemiologists track down patient zero in an outbreak? If so, then this tutorial is for you. In this tutorial, we will use a variety of datasets to help you understand the fundamentals of network thinking, with a particular focus on constructing, summarizing, and visualizing complex networks.
2. Hubs and Paths
3. Cliques, Triangles & Structures
4. Bipartite Graphs
5. Linear Algebra and Graphs
Which knowledge and skills you should have?
If you’re familiar with the Jupyter notebook/lab interface, are comfortable with Python programming (loops, functions, conditionals), and know how to make plots in matplotlib, you’ll be well-prepared for the tutorial!
What is included in your ticket?
1. Access to the live training and a QA session with the Instructor
2. Access to the on-demand recording
3. Certificate of completion
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This page last updated Friday 27 August 2021 at 12:51.
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