SparkIntroduction

Materials for "Introduction to Spark" workshop organized by LaMBDA

• Slides
• IPython notebook with examples from Spark Introduction workshop (Introduction to Spark.ipynb)
• Tasks for personal exploration (Tasks.ipynb)

References:

• Docker image for Spark, pyspark, ipython: https://registry.hub.docker.com/u/anaderi/docker-spark-ipython/
• Linear Regression
  • http://scikit-learn.org/stable/modules/linear_model.html
• Logistic Regression
  • http://www.slideshare.net/NYCPredictiveAnalytics/intro-to-classification-logistic-regression-svm
  • http://nbviewer.ipython.org/github/MITSloanDataAnalytics/ipython-bootcamp/blob/master/Regression%20and%20ML.ipynb
  • http://www.slideshare.net/MikeBlyth/logistic-regression-blyth-2006-simplified
  • http://blog.yhathq.com/posts/logistic-regression-and-python.html
• Apache Spark
  • http://spark.apache.org