Emre KoçyiğitMachine Learning Challenges — 7 — Feature EngineeringContinuing the ML Challenges series, I explore “feature engineering”, the seventh challenge following discussions on “data quality”…5 min read·13 hours ago----
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…7 min read·Jun 5, 2024----
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…4 min read·May 28, 2024----
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”…5 min read·May 21, 2024----
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…3 min read·May 14, 2024----
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…4 min read·May 6, 2024----
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…6 min read·Apr 29, 2024----
