**Daily update | 30 November, 2021**

# Medium

#### Four Deep Learning Papers to Read in December 2021

**Author:** Robert Lange**Claps:** 110**Source:** machine-learning**Description:** From Sensory Substitution to Decision Transformers, Persistent Evolution Strategies and Sharpness-Aware Minimization

#### Solutions against overfitting for machine learning on tabular data

**Author:** Joos Korstanje**Claps:** 68**Source:** data-science**Description:** Presenting 5 solutions that you can use to counteract overfitting in tabular data and classical machine learning

#### One Metaverse Coin To One Million!

**Author:** Lukas Moore**Claps:** 61**Source:** artificial-intelligence**Description:** This is just starting now. Goes More 100X

#### My First Six Months as a Data Scientist

**Author:** Amanda West**Claps:** 27**Source:** data-science**Description:** The technical and non-technical lessons I’ve learned

#### How to Benefit from the Semi-Supervised Learning with Label Spreading Algorithm

**Author:** Saul Dobilas**Claps:** 25**Source:** data-science**Description:** A detailed explanation of how Label Spreading algorithm works with Python example

# StackExchange

#### Find shortest path between two vertices that uses at most one negative edge

**Source:** cs**Views:** 229**Score:** 4**Tags:** algorithms graphs shortest-path

#### Potential outcomes selection bias

**Source:** stats**Views:** 68**Score:** 4**Tags:** causality

#### Validation loss falls but train loss remains constant?

**Source:** stats**Views:** 32**Score:** 2**Tags:** machine-learning gradient-descent validation

#### Using the Dominated convergence theorem in a sequence of Indicator functions

**Source:** stats**Views:** 39**Score:** 2**Tags:** measure-theory

#### Meaning of "approximation within $n^{1−\epsilon}$"

**Source:** cs**Views:** 29**Score:** 2**Tags:** approximation colorings