PRESENTS
Pluralsight
Machine Learning In Real Time Predicting Taxi Fare In Nyc
Date...: 2020-06-08
Type...: Bookware
Disks..: 6x15MB
Notes..: Big Data LDN 2019 | Machine Learning
in Real-time: Predicting Taxi Fare in
NYC | Adam Jelley Today, the benefit
of Machine Learning is conditioned to
its deployment in real-time. In this
talk, Adam Jelley, Data Scientist,
will explain how to deploy a real-time
taxi fare prediction engine to power
an Uber-like application. Along the
cycle of developing such a project, he
will highlight key lessons learned,
like understand the problem before
building models, do not add features
for the sake of features, try as many
algorithms as possible, and simplify
your pipeline before deployment.
Install: Unpack, Wise up and Enjoy!
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