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Machine Learning Live—Let’s Build a Taxi Fare Predictor

Session Number: 8799
Track: Emerging Technologies
Sub-Categorization: AI/Machine Learning
Session Type: Solutions
Primary Presenter: Stewart Bryson [Owner and Co-Founder - Red Pill Analytics]
Time: Jun 25, 2019 (03:45 PM - 04:45 PM)
Room: 620, Level 6

Speaker Bio: Stewart Bryson is the owner and co-founder of Red Pill Analytics, and he has been designing and implementing BI systems since 1996. He is an Oracle ACE Director, an internationally recognized writer and speaker, and co-host of the video and audio podcast See Data Differently.

Stewart founded Transcendent Data in 2004, building a consulting practice around his considerable knowledge of best practices and Oracle BI and DW products. In 2008, he joined Rittman Mead Consulting as the US CEO and later as the global chief innovation officer. In 2014, along with Kevin McGinley, Stewart founded Red Pill Analytics with the desire to help customers see data differently.

Technologies or Products Used: teensorflow, juptyer notebooks, pandas, python, bigquery, datalab

Session Summary for Attendees:  Regardless of what you’ve seen or heard, machine learning is not that complicated; simple but valuable use cases that extend traditional analytical capabilities can be easily unlocked. In this session, we’ll build a prediction model for taxi fares based on existing public data. Watch as we explore the dataset, derive estimates with basic analytics, and then train our model with several iterations of linear regression algorithms to outperform those estimates. You’ll understand the methods, tools, and algorithms used in this predictor, and you’ll witness the live development and training of our machine learning model. Are you ready to finally understand what machine learning is all about?

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