Emre KoçyiğitMachine Learning Challenges — 7 — Feature EngineeringContinuing the ML Challenges series, I explore “feature engineering”, the seventh challenge following discussions on “data quality”…Jun 12Jun 12
Emre KoçyiğitMachine Learning Challenges — 6 — OverfittingIf you are in the field of ML, you are likely very familiar with the concept of overfitting, as it is one of the most common terms in ML…Jun 5Jun 5
Emre KoçyiğitMachine Learning Challenges — 5 — ScaleThis is the fifth article in which I discuss common ML challenges. After discussing “data quality”, “reproducibility”, “data drift” and…May 28May 28
Emre KoçyiğitMachine Learning Challenges — 4 — Multiple ObjectivesThis is the fourth article in which I discuss common machine learning (ML) challenges. After discussing “data quality”, “reproducibility”…May 21May 21
Emre KoçyiğitMachine Learning Challenges — 3 — Data DriftIn the previous two articles, I addressed two of most common ML challenges that are “data quality” and “reproducibility”. Number three is…May 14May 14
Emre KoçyiğitMachine Learning Challenges — 2 — ReproducibilityIn the previous article, I introduced and discussed the first common Machine Learning (ML) challenge, “Data Quality”. Now, let’s proceed…May 6May 6
Emre KoçyiğitMachine Learning — ChallengesWhile reviewing my “Machine Learning Design Patterns” book [1] and my notes on the subject, I decided to integrate them with other sources…Apr 29Apr 29