Intentionally or unintentionally mistyped words and obfuscated language can be a challenge for search or lexicon use in surveillance. When speaking to new customers who traditionally employed those methods, they often inquire if our model building software can guarantee they will find and retrieve these misspelled words and other variances.
Join us for the second webinar in our four-part series, Best Practices for Model Building using Machine Learning: Capturing Variances 101, where we will discuss various techniques to account for these inadvertent and/or rogue ways to avoid surveillance. We will also explain some novel techniques from data science to solve these problems.
During this webinar, you will learn how to:
- Classify and identify variances
- Decide on a strategy for each type of variance
- Prepare data for model building
Best Practices for Model Building using Machine Learning: Capturing Variances 101
December 16th, 2020