Thursday, August 19, 2021
During this workshop we will be going through the content in https://github.com/EricSchles/datascience_book. Because I want to start with whatever is most useful for participants we will do a poll at the beginning of the workshop to see where everyone is.
Some potential topics include:
- descriptive statistics
- hypothesis testing
- linear regression
- neural networks
This workshop is for anyone at a beginner or intermediate level with statistics and machine learning. However, you should already know python reasonably well! (2+ years of dedicated coding experience)
You will learn how to thinking critically about data in an applied way
To-Do Before Workshop / How to Prepare:
Instructor assumes everyone will be using:
- Python 3.6+
- Mac OSX or Linux
Be sure to have the standard python science stack:
- jupyter notebook
I will not take time during the workshop to wait for anyone to install libraries or the language, so if you don't have it installed, it's on you to do so and catch up to everyone else.
Also, this workshop does not support windows, if you are using windows and get stuck because of it, then I will not slow down to help. If you are on windows and would like to participate, I highly recommend installing the wsl2, which runs linux, prior to the workshop.
Friday, August 20, 2021
Ask any data leader about what they are doing with AI in their organization and they will give you a long list of exciting AI prototypes underway in different parts of their organization. Now, ask them and yourself - but how many of these AI projects are running at scale and used every day by large parts of the organization? Join us as we discuss what it takes to run AI projects at scale - people, process, and technology needed to make it happen.
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