Resources
All About Squark
Learn how to use Squark from start to productive implementation of results.
Introduction to Squark
What Model Classes Does Squark Support?
What AI Algorithms Does Squark Use?
What Are Training and Production Data?
Loading Data Into Squark
What is Feature Selection?
Feature Engineering - Imputing Data
Text Vectoring - How Word2Vec Makes Text Strings Predictive
Understanding Squark Results
Variable Importance Explained
How to Predict Churn - a Binary Classification Example
System Overview and Deep Dive
Automated Machine Learning
Learn more about the benefits of automated machine learning as well as the AI power underpinning Squark.
Eric Kavanagh of The Bloor Group Introduces ‘Actions Beat Insights - How AutoML Can Expedite Business Value’ Webinar
Actions Beat Insights Part 1 - Introduction to AutoML
Actions Beat Insights Part 2 - Model Types: Binary, Multi-class, Regression, Time Series
Actions Beat Insights Part 3 - The AutoML Process with Use Cases
Actions Beat Insights Part 4 - Q and A
Squark Use Cases
Learn more about using Squark to solve previously unsolvable problems.
Nielsen B2B Marketing Use Case
