DataSci Ocean
Posts Tags Categories
English
DataSci Ocean

 Essential AI Concept

2023

Model Inference: The Final Step in the Machine Learning Workflow 02-05
Machine Learning in 5 Steps: How to Evaluate a Model 02-02
Machine Learning Problem-Solving in 5 Steps: Model Training 01-29
How to Build a Dataset for Machine Learning (in 4 Steps) 01-28
Machine Learning in 5 Steps: How to Define the Problem 01-27

2022

Estimation Error vs. Approximation Error: Architecture or Training? 05-29
Conditional vs Joint Probability: A Deck of Cards Clears It Up 05-14
Probability From Zero: Marginal, Joint & Conditional 03-27
Why Face Recognition Breaks the Old Machine Learning Playbook 02-05
Solving a Problem with Machine Learning: Exploring Book Styles 02-05
House Price Prediction: The Five ML Steps as One Complete Example 02-03
Before Deep Learning, Understand the Perceptron 02-03
Model, Training, Inference: A Pottery Wheel Analogy 01-21
What Is Machine Learning? The Three Families of Algorithms 01-17