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Beginners

"A journey of a thousand miles begins with a single step." -Chinese Proverb

submission guidelines

UPDATED AUGUST 2, 2019

This tag is dedicated to beginners to programming, development, networking, or to a particular language. Everything should be geared towards that!

For Questions...

Consider using this tag along with #help, if...

You are new to a language, or to programming in general,
You want an explanation with NO prerequisite knowledge required.
You want insight from more experienced developers.

Please do not use this tag if you are merely new to a tool, library, or framework.

See also, #explainlikeimfive

For Articles...

Posts should be specifically geared towards true beginners (experience level 0-2 out of 10).
Posts should require NO prerequisite knowledge, except perhaps general (language-agnostic) essentials of programming.
Posts should NOT merely be for beginners to a tool, library, or framework.

If your article does not meet these qualifications, please select a different tag.

Promotional Rules

Posts should NOT primarily promote an external work. This is what Listings is for.
Otherwise accepable posts MAY include a brief (1-2 sentence) plug for another resource at the bottom.
Resource lists ARE acceptable if they follow these rules:
- Include at least 3 distinct authors/creators.
- Clearly indicate which resources are FREE, which require PII, and which cost money.
- Do not use personal affiliate links to monetize.
- Indicate at the top that the article contains promotional links.

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Cover image for hidden layer - day 02 of dl

mahraib

Jan 13

hidden layer - day 02 of dl

#beginners #deeplearning #machinelearning

2 min read

Rushikesh Bodakhe

Jan 13

Looking for Developer Feedback: Open Issues in Vizora (Schema Intelligence Tool)

#webdev #ai #programming #beginners

1 min read

Cover image for Learning Rate: The One Number That Can Make or Break Your Entire Model

Sachin Kr. Rajput

Jan 13

Learning Rate: The One Number That Can Make or Break Your Entire Model

#machinelearning #ai #beginners #datascience

10 min read

Cover image for Batch vs Mini-Batch vs Stochastic Gradient Descent: Three Hikers, Three Strategies, One Mountain

Sachin Kr. Rajput

Jan 13

Batch vs Mini-Batch vs Stochastic Gradient Descent: Three Hikers, Three Strategies, One Mountain

#machinelearning #ai #beginners #datascience

10 min read

Shubh

Dec 9 '25

Built DockMate: A terminal UI for Docker (27 stars in 3 days)

#devops #docker #opensource #beginners

1 min read

Cover image for Gradient Descent: How to Find the Lowest Point in a Valley While Completely Blindfolded

Sachin Kr. Rajput

Jan 13

Gradient Descent: How to Find the Lowest Point in a Valley While Completely Blindfolded

#machinelearning #ai #beginners #datascience

10 min read

Cover image for PYTHON FUNDAMENTALS | From Basics to Real-World Applications

igbojionu

Jan 13

PYTHON FUNDAMENTALS | From Basics to Real-World Applications

#beginners #learning #python #tutorial

17 min read

Cover image for Loss Functions: The Brutally Honest Friend Your Model Desperately Needs

Sachin Kr. Rajput

Jan 13

Loss Functions: The Brutally Honest Friend Your Model Desperately Needs

#machinelearning #ai #beginners #datascience

9 min read

Cover image for Classification vs Regression: The Doctor Who Gives Answers vs The Doctor Who Gives Numbers

Sachin Kr. Rajput

Jan 13

Classification vs Regression: The Doctor Who Gives Answers vs The Doctor Who Gives Numbers

#machinelearning #ai #beginners #datascience

9 min read

Cover image for Parametric vs Non-Parametric Models: The GPS vs The Taxi Driver

Sachin Kr. Rajput

Jan 13

Parametric vs Non-Parametric Models: The GPS vs The Taxi Driver

#machinelearning #ai #beginners #datascience

9 min read

Cover image for Different Ways to Find Even and Odd Numbers

Rahul Raj

Dec 9 '25

Different Ways to Find Even and Odd Numbers

#beginners #java #tutorial

2 min read

Cover image for Overfitting & Underfitting: Why Your Model Aced the Practice Test But Failed the Real Exam

Sachin Kr. Rajput

Jan 13

Overfitting & Underfitting: Why Your Model Aced the Practice Test But Failed the Real Exam

#machinelearning #ai #beginners #datascience

10 min read

Cover image for The Bias-Variance Tradeoff: Why Your Model is Either Too Dumb or Too Smart

Sachin Kr. Rajput

Jan 13

The Bias-Variance Tradeoff: Why Your Model is Either Too Dumb or Too Smart

#machinelearning #ai #beginners #datascience

7 min read

Cover image for The Three Musketeers of Machine Learning: A Journey from "What's ML?" to "I Get It!"

Sachin Kr. Rajput

Jan 13

The Three Musketeers of Machine Learning: A Journey from "What's ML?" to "I Get It!"

#machinelearning #ai #beginners #tutorial

9 min read

Blink

Dec 10 '25

Day 5: Catching Up

#ai #programming #productivity #beginners

2 min read

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