PyDSLA: Talks from the LA Data Science Community
REGISTER HERE ON EVENTBRITE DATE AND TIME Wed, November 2, 2016 6:30 PM – 9:30…
"python"
XGBoost workshop and meetup talk with Tianqi Chen
XGBoost is a fantastic open source implementation of Gradient Boosting Machines, a general purpose supervised learning method…
PyDSLA: The Nitty Gritty of Advanced Analytics Using Apache Spark in Python
SIGN UP HERE! Video Available Now: Talk by Miklos Christine, solutions engineer at Databricks Apache Spark is…
What has Kaggle learned from 2 million machine learning models?
What has Kaggle learned from 2 million machine learning models? Anthony Goldbloom, founder and CEO…
PyDSLA: Erin LeDell, Presents Intro to Machine Learning with H2O and Python
Join PyDSLA for a talk by Erin LeDell Intro to Machine Learning with H2O and…
Big RAM is eating big data – Size of datasets used for analytics
With so much hype about “big data” and the industry pushing for “big data” analytical…
PyDSLA Video: Carlos Guestrin, CEO of DATO
On May 14th at the Venice Arts Center, the Los Angeles Python and Data Science…
Benchmarking Random Forest Implementations
I currently have the need for machine learning tools that can deal with observations of…
PyDSLA – Blaze: Connecting analysts to big computation
Join PyDSLA for a talk by Matthew Rocklin about the high level APIs being developed…
Re: Sorry for the mix up regarding Data Science candidates
This was originally posted on the author’s LinkedIn You will find lots of advice on…