Daily update | 07 January, 2022
Medium
New Open Source for Validating and Testing Machine Learning
Author: Philip Tannor
Claps: 401
Source: machine-learning
Description: Deepchecks Is a Python Package That Helps Build Test Suites for ML Models & Data. Here’s How You Use It
How I Used Data Science to Create Five Consistent Streams of Income
Author: Terence Shin
Claps: 278
Source: data-science
Description: Proven ways to actually make money with data science
Are Machine Learning and AI threats to the job security and employment opportunity
Author: SAURAV SANAP
Claps: 170
Source: machine-learning
Description: Machine Learning (ML) and Artificial Intelligence (AI) is gaining a lot of attraction in recent times. This is mainly because it has broken…
Myth-Busting: 3 Things You Don’t Need to Break into the Data Science Industry
Author: Arunn Thevapalan
Claps: 124
Source: artificial-intelligence
Description: And what you need instead
Replace Python Lists and Make Your Code Orders of Magnitude Faster!
Author: Haseeb Kamal
Claps: 55
Source: data-science
Description: No fancy libraries and no complicated engineering, just one data structure — hash tables.
StackExchange
Ideal Use Cases for Splines
Source: stats
Views: 450
Score: 7
Tags: regression predictive-models splines interpolation
Ridge regression subtlety on intercept
Source: stats
Views: 83
Score: 4
Tags: machine-learning ridge-regression
Why does my beta regression look linear when plotted?
Source: stats
Views: 217
Score: 4
Tags: r beta-regression
Comparing outliers in two distributions
Source: stats
Views: 24
Score: 2
Tags: normal-distribution outliers
What is the difference between least squares method and mean squared method in calculating the error?
Source: stats
Views: 29
Score: 2
Tags: least-squares linear-model mse