List: 🤖 Modeling Algorithms | Curated by Viyaleta Apgar

Jan 23, 2025
14 stories
🤖 Modeling Algorithms
In
TDS Archive
by
Jaemin Han
Why LLMs Suck at ASCII ArtHow being bad at art can be so dangerous
Jan 17
5
Jan 17
5
Austin Starks
You are an absolute moron for believing in the hype of “AI Agents”.All of my articles are 100% free to read. Non-members can read for free by clicking my friend link!
Jan 11
309
Jan 11
309
In
TDS Archive
by
Dominik Polzer
7 of the Most Used Feature Engineering TechniquesHands-On Feature Engineering with Scikit-Learn, Tensorflow, Pandas and Scipy
Jan 9, 2023
13
Jan 9, 2023
13
In
TDS Archive
by
Vatsal
Recommendation System — Matrix Factorization (SVD) ExplainedBuild a Recommender System Pipeline using Latent Factor Recommendations (SVD)
May 23, 2022
May 23, 2022
In
TDS Archive
by
Arnaud Capitaine
Thorough examination of bias and variance in the linear regressionWhat is the connection between the probability definitions of the variance and the bias of an estimator and the machine learning model…
May 15, 2022
May 15, 2022
In
TDS Archive
by
Ketan Doshi
Transformers Explained Visually (Part 1): Overview of FunctionalityA Gentle Guide to Transformers for NLP, and why they are better than RNNs, in Plain English. How Attention helps improve performance.
Dec 13, 2020
27
Dec 13, 2020
27
In
Dataman in AI
by
Chris Kuo/Dr. Dataman
Handbook of Anomaly Detection: With Python Outlier Detection — (6) OCSVMpyod.models.mad — pyod 1.0.5 documentation
Oct 9, 2022
Oct 9, 2022
Mohamed Hmamouch
Beyond Churn Models: How Causal Inference and Uplift Modeling Drive Effective RetentionUsing Uplift Modeling to Tailor Your Marketing Strategy
Nov 5, 2024
5
Nov 5, 2024
5
In
TDS Archive
by
Elena Samuylova
Monitoring ML systems in production — which metrics should you track?When one mentions “ML monitoring,” this can mean many things. Are you tracking service latency? Model accuracy? Data quality? The share of…
Jul 18, 2022
Jul 18, 2022
In
Towards AI
by
Nandini Tengli
You’re Missing The Point Behind PCADespite popular notions, PCA is not really a dimensionality reduction technique. The real power of PCA lies in understanding the math.
Aug 17, 2022
4
Aug 17, 2022
4
In
TDS Archive
by
Eduardo Muñoz
Attention is all you need: Discovering the Transformer paperDetailed implementation of a Transformer model in Tensorflow
Nov 2, 2020
8
Nov 2, 2020
8
In
TDS Archive
by
Marco Peixeiro
Practical Guide for Anomaly Detection in Time Series with PythonA hands-on article on detecting outliers in time series data using Python and sklearn
Mar 16, 2023
3
Mar 16, 2023
3
In
TDS Archive
by
Mahbub Alam
DBSCAN — a density-based unsupervised algorithm for fraud detectionBite-sized data science on fraud detection
Oct 10, 2020
Oct 10, 2020
In
TDS Archive
by
Yoann Mocquin
PCA/LDA/ICA : a components analysis algorithms comparisonReview the concepts and differences between these famous algorithms.
Feb 19, 2023
Feb 19, 2023