Daily update | 06 November, 2021
Medium
Orchestrate a Data Science Project in Python With Prefect
Author: Khuyen Tran
Claps: 672
Source: data-science
Description: Optimize Your Data Science Workflow in a Few Lines of Code
How to ship a machine learning model in days not months?
Author: Adrien Giraud
Claps: 187
Source: artificial-intelligence
Description: In this article, you’ll learn how we quickly delivered a machine learning based API called by our product along with some tips to enhance…
Recommender systems: When they fail, who are you gonna call?
Author: Canva Engineering
Claps: 166
Source: machine-learning
Description: How we deal with potential problems when running Canva’s recommendation system
My First R&D project as an intern at 99x
Author: Nazhim Kalam
Claps: 121
Source: data-science
Description: Research and Development project
3 Features of Python Matplotlib That Make Data Visualizations More Appealing and Informative
Author: Soner Yıldırım
Claps: 87
Source: data-science
Description: How you show is just as important as what you show.
StackExchange
What is it called when an experimenter discards results that are too unexpected?
Source: stats
Views: 1577
Score: 10
Tags: experiment-design terminology selection-bias fallacy
Comparing model evaluations of machine learning and statistics
Source: stats
Views: 311
Score: 7
Tags: machine-learning hypothesis-testing statistical-significance cross-validation
Variance of a function of a random variable as function of the original variable
Source: stats
Views: 112
Score: 5
Tags: probability variance data-transformation random-variable
How to determine effect size in addition to significance in statistical inference tests that do not explicitly estimate effect size?
Source: stats
Views: 74
Score: 4
Tags: statistical-significance assumptions large-data
Homework/class help: Backward propagation of max pooling if each element in an array determines more than one value?
Source: datascience
Views: 15
Score: 3
Tags: backpropagation