Remove Cross Validation Remove Data Lakes Remove Decision Trees
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Mastering ML Model Performance: Best Practices for Optimal Results

Iguazio

Detect Drift: Concept Drift and Data Drift Monitor for all types of drift to ensure that the ML model remains accurate and reliable. Use techniques such as sequential analysis, monitoring distribution between different time windows, adding timestamps to the decision tree based classifier, and more.

ML 52
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Big Data Syllabus: A Comprehensive Overview

Pickl AI

Data Lake vs. Data Warehouse Distinguishing between these two storage paradigms and understanding their use cases. Students should learn how data lake s can store raw data in its native format, while data warehouses are optimised for structured data.