Data Visualization & Machine Learning Tutorial
IEEE North Jersey Section Course: Data Visualization & Machine Learning Tutorial
May 6, 2017. Saturday 1:30pm-4:30pm
The IEEE North Jersey Section is offering a tutorial course entitled "Data Visualization & Machine Learning".
Google's Deep Dream and Neural Nets are all the rage these days. "Data Scientist" is a legitimate occupation. But what are these things and what are some of the basic tools of the trade ? Machine learning is the latest name for statistical modeling and thanks to effective software, is easier than ever. With modern Python libraries, data scientists are quickly and interactively able to study and visualize applied problems. Using tools like Scikit-Learn and TensorFlow, professionals bring classical and neural statistical approaches to predictive modeling.
Prior knowledge of machine learning, python, or statistics is not required. Familiarity with general programming principles (for loops, conditionals, etc) is recommended. No software installations are required as all computation will be done remotely via a free SageMathCloud account. Students are encouraged to bring their laptops to do the exercises using the online tools taught in the lecture.
The course objective is to provide a basic overview of data manipulation, visualization, and prediction using Python in an interactive environment. Students will become familiar with the capabilities and syntax of common machine learning approaches. By working through gradually more complex examples, they will learn how to start applying machine learning to their own
problems.
0.3 CEU - Continuing Education Units are available for separate purchase at the cost of $10 cash payable at the door with the completion of CEU form at course end.
Date and Time
Location
Hosts
Registration
- Date: 06 May 2017
- Time: 01:30 PM to 04:30 PM
- All times are (GMT-05:00) US/Eastern
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- 960 River Road
- Teaneck, New Jersey
- United States 07666
- Building: FDU Metropolitan Campus
- Room Number: Becton Building - Room 302
- Click here for Map
- Contact Event Host
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Email those listed as contacts if you have any questions.
- Co-sponsored by Education Committee
- Starts 06 April 2017 10:00 PM
- Ends 06 May 2017 12:00 PM
- All times are (GMT-05:00) US/Eastern
- 0 in-person spaces left!
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Speakers
Dan Van Boxel
Biography:
Instructor Bio: Dan Van Boxel has been a data scientist for 8 years and given specialized training as well as producing video courses. Formally trained in engineering and applied math, Dan works professionally as a data scientist for a large organization. Additionally, he live streams data science projects on a weekly YouTube show, DanDoesData. He has worked on machine learning projects like autonomous vehicles, font recognition, and text generation.
Dan Van Boxel
Biography:
Agenda
TOPICS
1. Data Cleaning with NumPy (slicing, linear algebra, other operations)
2. Matplotlib for scatter plots and heat plots
3. Linear Regression with scikit-learn
4. Classification with scikit-learn
5. Neural Networks with TensorFlow (using learn interface)
Class size will be limited. Early registration online is recommended. Once seats fill up, registration will be closed.
WHERE: Becton Building, FDU Metropolitan Campus, 960 River Road, Teaneck, NJ 07666
http://view2.fdu.edu/campuses-and-centers/metropolitan-campus/campus-index-and-maps/
WHEN: 3 hour session on Saturday 5/6 from 1:30pm to 4:30pm.
COST: All students (undergraduate and graduate level) or Life Members $20, IEEE members $25, Non-IEEE members $30
When registering pick your appropriate category and sign up accordingly.
REGISTER ONLINE. If registering as a member, please provide you IEEE membership number for verification.
CONTACTS (for any questions): Kalyan Mondal k.mondal@ieee.org (Education Chair) Amit Patel – a.j.patel @ ieee.org (ComSoc Chair)