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December 5-6, 2016: Training
December 6–8, 2016: Tutorials & Conference
Singapore

Machine learning: The power of ensembles

Bargava Subramanian (Binaize Labs), Amit Kapoor (narrativeVIZ)
11:15am–11:55am Thursday, December 8, 2016
Data science and advanced analytics
Location: 328/329 Level: Intermediate

Prerequisite Knowledge

  • A basic understanding of machine learning

What you'll learn

  • Explore ensemble models
  • Learn various strategies to build ensemble models
  • Understand common pitfalls to avoid

Description

Creating better models is a critical component to building a good data science product. It is relatively easy to build a first-cut machine-learning model, but what does it take to build a reasonably good or state-of-the-art model? Ensemble models—which help exploit the power of computing in searching the solution space.

Ensemble methods aren’t new. They form the basis for some extremely powerful machine learning algorithms like random forests and gradient boosting machines. The key point about ensemble is that consensus from diverse models are more reliable than a single source.

Bargava Subramanian discusses various strategies to build ensemble models, demonstrating how to combine model outputs from various base models (logistic regression, support vector machines, decision trees, neural networks, etc.) to create a stronger, better model output. Using an example package with bindings to both R and Python, Bargava covers bagging, boosting, stacking, and blending and draws on real-life examples from the enterprise world to explore where ensemble models can consistently produce better results when compared against the best-performing single models.

Topics include:
*Feature engineering

  • Model selection
    *The importance of bias-variance and generalization

A preliminary version of the slides is available here.

Photo of Bargava Subramanian

Bargava Subramanian

Binaize Labs

Bargava Subramanian is a cofounder and machine learning engineer of the boutique AI firm Binaize Labs in Bangalore, India. He has 15 years’ experience delivering business analytics and machine learning solutions to B2B companies, and he mentors organizations in their data science journey. He holds a master’s degree from the University of Maryland, College Park. He’s an ardent NBA fan.

Photo of Amit Kapoor

Amit Kapoor

narrativeVIZ

Amit Kapoor is a data storyteller at narrativeViz, where he uses storytelling and data visualization as tools for improving communication, persuasion, and leadership through workshops and trainings conducted for corporations, nonprofits, colleges, and individuals. Interested in learning and teaching the craft of telling visual stories with data, Amit also teaches storytelling with data for executive courses as a guest faculty member at IIM Bangalore and IIM Ahmedabad. Amit’s background is in strategy consulting, using data-driven stories to drive change across organizations and businesses. Previously, he gained more than 12 years of management consulting experience with A.T. Kearney in India, Booz & Company in Europe, and startups in Bangalore. Amit holds a BTech in mechanical engineering from IIT, Delhi, and a PGDM (MBA) from IIM, Ahmedabad.

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Comments

Picture of Amit Kapoor
Amit Kapoor
12/09/2016 7:02pm +08

Thank you everyone for joining this session. Hope you found it useful. You can access the slides – http://www.slideshare.net/amitkaps/the-power-of-ensembles-in-machine-learning and get the all code from https://github.com/amitkaps/ensemble