AI Engineer's Guide to Advertising and Recommendation Systems
CTR prediction, real-time bidding, RecSys architectures, and the ML behind ads
ai-development recommendation-system advertising
+2
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AI Engineer's Guide to Foundational ML Concepts
Essential machine learning theory, neural network architectures, and training fundamentals every AI engineer must know
ai-development machine-learning deep-learning
+2
AI/ML for Commerce Reviews: Use Cases, Online & Offline Metrics, and Methodology Playbook
A practical research guide to review-driven AI/ML in e-commerce, including KPI frameworks, offline evaluation, formulas, and implementation patterns.
commerce reviews machine-learning
+4
Post-Training for LLMs: A Simple, Practical Guide for Developers
An easy-to-understand guide to post-training with equations, code, charts, and workflow diagrams for real-world engineering teams.
llm posttraining machine-learning
+2
Choosing the Right Confidence Threshold for YOLO
The default 0.25 works, but understanding why matters for production apps.
yolo machine-learning ios
+1
Improving YOLO Model for Four-Leaf Clover Detection
Went from 58% to targeting 80% mAP by switching to YOLOv8s-P2 and tuning augmentations.
yolo machine-learning ios
+1
Why 640 Beat 768 in My YOLO Training
Higher resolution should mean better detection, right? Not always.
yolo machine-learning deep-learning
7 posts with tag "machine-learning"