Open Source Simulations with Python and Blended Learning Approaches to Data Science and Machine Learning Education - Shiv Kumar & Darius Vaillancourt

Shiv Kumar & Darius Vaillancourt at May 21, 2019 event of montrealml.dev

Title: Open Source Simulations with Python and Blended Learning Approaches to Data Science and Machine Learning Education

Summary: Enterprise software for engineering is currently expensive, with few open source options available for use by electrical engineers. Python with Power Electronics aims to close this gap by providing tools to simulate power electronics and circuitry with initial uses tailored to the renewable energy industry. The lightening talk will also cover affordable techniques for learning machine learning and data science by combining online learning with in-person workshops.

Bios: Shiv Kumar (PhD) is an electrical engineer by training with over ten years of experience across renewable energy R&D and software development. Shiv Kumar is author of textbook Simulating Nonlinear Circuits with Python Power Electronics and is an instructor at Collabo Academy where he teaches Data Science & Machine Learning with Python.

Darius is a founder and CEO of Collabo Academy, an education technology that delivers blended learning at an affordable price.

Transcript

1. is a mission-driven professional development company. We offer courses that blend the best online courses with expert guided in-person workshops. ELECTRICAL ENGINEERING WITH PYTHON PYTHON POWER ELECTRONICS, AN OPEN SOURCE SIMULATOR MAY 2019
2. PRESENTERS Darius Vaillancourt Founder & CEO Shiv Kumar, PhD Data Science & Machine Learning
3. MOTIVATION & OBJECTIVE ▪ An electrical engineer with over ten years of experience in power sector R&D, and a software/Linux enthusiast hacking away in my free time ▪ A huge gap between software for web dev, etc. and electrical engineering ▪ Software for web dev is booming with open source alternatives constantly in development and competing with each other ▪ Enterprise software for engineering is expensive, has poor performance and is closed source ▪ Felt the need for more open source in core engineering and for core engineers to get involved in open source software
4. PYTHON POWER ELECTRONICS ▪ A free and open source circuit simulator for power engineers built entirely in Python ▪ Processes and solves electrical circuits ▪ External control functions can be written in Python ▪ http://www.pythonpowerelectronics.com/ ▪ https://www.facebook.com/pythonpowerelectronics
5. PYTHON POWER ELECTRONICS Next major goal – teach Python, data science and machine learning to engineers for application in electrical engineering.
6. Data Science & ML with Python Workshop Date Workshop Time Topics 2019-05-23 6pm - 8:00pm NumPy, Pandas, DataFrames, & Python Excercises, 2019-05-30 6pm - 8:00pm Data Visualization for Matplotlib 2019-06-06 6pm - 8:00pm Data Visualization for Plotly and Cufflinks + Geo Plotting, Capstone Project, Intro to Machine Learning 2019-06-13 6pm - 8:00pm Linear & Logistical Regression, Applied KNN Theory, Exercises and Projects 2019-06-20 6pm - 8:00pm Decision Trees & Random Forest, Support Vector Machines, K Nearest Neighbors, Recommender Systems 2019-06-27 6pm - 8:00pm Natural Language Processing, Big Data & Spark 2019-07-04 6pm - 8:00pm Neural Nets & Deep Learning, Intro to Tensor Flow
7. is a mission-driven professional development company. We offer courses that blend the best online courses with expert guided in-person workshops. COLLABO·ACADEMY RE-DESIGNED APPROACH TO LEARNING DATA SCIENCE MAY 2019
8. OUR PROGRAM Select a course across Data Science, Web Development and more. Workshops use 5-star online lectures as basis for curriculum. 1 Watch lectures online at home and at your own pace. Post questions via online forums. 2 Attend weekly workshops with experts and collaborate with classmates on exercises and projects. 3 SELECT LEARN ATTEND
9. of participants LEARNED MOREusing blended learning 73% INCREASE in test scores for blended learning* participants of participants ENJOY the blended learning experience compared to traditional formats 77% 90% Built on Research *Blended learning combines online lectures with in-person workshops. Refers to study conducted by University of British Columbia. Illustrative Purposes only.
10. COURSE FORMAT ▪ 7 review sessions (Tuesdays 8-9pm) ▪ 7 workshops (Thursdays 6-8pm) ▪ Online lectures ▪ Supplemental Notes ▪ Slack channel chat ▪ May 23rd – July 4th (Thursdays 6-8pm) www.collaboacademy.com/programs
11. THANK YOU INFO@COLLABOACADEMY.COM Tel: 438.925.2209 WWW.COLLABOACADEMY.COM