YoVDO

Model Explanation and Prediction Exploration Using Spark ML

Offered By: Databricks via YouTube

Tags

Machine Learning Courses Data Visualization Courses Predictive Analytics Courses Random Forests Courses Generalized Linear Models Courses What-if Analysis Courses

Course Description

Overview

Explore techniques for explaining and predicting non-linear models using Spark ML in this 23-minute conference talk from Databricks. Delve into methods for clarifying black box models, explaining GLM and Random Forest predictions, and conducting what-if analyses. Learn how to implement a Spark library for model explanation and leverage a node.js library for browser-based applications. Discover real-world applications in healthcare data analysis, covering 50 billion predictions. Gain insights into explaining feature contributions for arbitrary population subsets and understand how changing feature values affects predictions. Master the tools to enhance model transparency and user understanding in machine learning applications.

Syllabus

Introduction
Agenda
Clarify Health
Accuracy
Explanation
Prediction Exploration
Random Forest


Taught by

Databricks

Related Courses

Introduction to Data Analytics
Indian Institute of Technology Madras via Swayam
Implementing Predictive Analytics with Spark in Azure HDInsight
Microsoft via edX
Operations Analytics
University of Pennsylvania via Coursera
Practical Predictive Analytics: Models and Methods
University of Washington via Coursera
Customer Analytics
University of Pennsylvania via Coursera