Professor Carolyn Beck of the ISE department will be joining us to give a 30 minute seminar on k-means clustering, including an overview of its strengths and weaknesses, implementation, and Lloyd’s algorithm. Following a Q&A with Professor Beck, we will also be providing a tutorial on implementing the k-means algorithm on the famous Iris Flower data set. The tutorial will take place in Python, using Jupyter Notebook. It will be beneficial to bring your laptops but installing Jupyter is not required.
Where: TB 303
When: Wednesday 10/11 5:30pm
Guest Speaker: Professor Carolyn Beck, Ph.D.
k-means clustering is a standard tool in data analysis of numerical features, used to classify unlabeled data quickly. It is a heuristic but highly effective method used both in industry and academia based on the location of a k n-dimensional centroids. The k-means algorithm is both simple and intuitive, and forms the basis on which many more sophisticated methods of clustering are built. It finds use cases in cyber security classifying potentially malicious data, in online retail classifying customer types to determine what items to show, and in campaign-planning to identify what opinions voters hold on multiple, dependent issues.
Python is an interpreted, open-sourced, and continuously evolving programming language for general purposes. In light of several popular packages (or libraries), it becomes almost an omnipotent environment for modeling, data analytics, scientific computing, etc.
We will be using Jupyter notebook for the tutorial purposes. It will be beneficial if you bring your laptops but installing Jupyter is not required.
In this tutorial, we will cover:
- Data types (Numbers, Strings, Booleans)
- Containers (Lists, Tuples, Dictionaries)
- Conditionals and loops
- Reading/writing CSV files
- Introduction to packages (NumPy, SciPy, Pandas, Matplotlib)
- Some demos
What’s next? Join us for some delicious food and happy time at Murphy’s!
Where: TB 303
When: Thursday 9/28 5pm
Join us tomorrow to learn about data science and operations research at one of the nation’s largest transportation companies. Our guests will also discuss the internships and full-time positions they are recruiting for at the ECS Career Fair on Wednesday.
When: 6:30 – 7:30pm
Where: TB 101
Daniel Vanden Brink, Ph.D
VP of Analytics and Operations Research
Nikhil Arora, Ph.D
Director of Logistics Engineering
See you there and don’t forget to bring your resumes!
Here are the slides from last week’s general meeting: 2017 Fall GM
We are seeing a lot of interest in the upcoming data science & O.R. competitions, so hang tight for more detailed information and instructions to sign up. However, it isn’t too early to start forming your team!
Remember to send us your ideas and feedback for future events that you would like to see.
See you all on Tuesday when we host Schneider National and learn more about O.R. and analytics in the transportation industry.
Join us for our Fall General Meeting! We will discuss data science competitions, upcoming career fair info sessions, and other events we plan to host this semester.
Where: TB 101
When: Thursday 9/7/2017 at 5:30pm