Data Science Machine Learning Data Analysis
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This channel is for Programmers, Coders, Software Engineers.

1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning

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πŸ“Œ From Retrieval to Intelligence: Exploring RAG, Agent+RAG, and Evaluation with TruLens

πŸ—‚ Category:

πŸ•’ Date: 2024-12-03 | ⏱️ Read time: 26 min read

Unlocking the Power of GPT-Generated Private Corpora
πŸ“Œ The Cultural Impact of AI Generated Content: Part 1

πŸ—‚ Category: GENERATIVE AI

πŸ•’ Date: 2024-12-03 | ⏱️ Read time: 9 min read

What happens when AI generated media becomes ubiquitous in our lives? How does this relate…
πŸ“Œ Should you switch from VSCode to Cursor?

πŸ—‚ Category:

πŸ•’ Date: 2024-12-03 | ⏱️ Read time: 8 min read

My experience using VSCode (GitHub Copilot) and Cursor (Claude 3.5 Sonnet) as a Data Scientist.
πŸ“Œ The Name That Broke ChatGPT: Who is David Mayer?

πŸ—‚ Category:

πŸ•’ Date: 2024-12-03 | ⏱️ Read time: 20 min read

When a buddy suggested I try putting the name β€œDavid Mayer” into ChatGPT, I didn’t think much…
πŸ“Œ The Ten Commandments for (Power BI) Reporting

πŸ—‚ Category:

πŸ•’ Date: 2024-12-03 | ⏱️ Read time: 12 min read

I have been asked about some basic rules when creating a reporting solution. Here I…
πŸ“Œ Paper Walkthrough: Neural Style Transfer

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-12-03 | ⏱️ Read time: 28 min read

Turn your photos into paintings with deep learning – Implementing NST from scratch using PyTorch
πŸ“Œ Context-Aided Forecasting: Enhancing Forecasting with Textual Data

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-12-02 | ⏱️ Read time: 9 min read

A promising alternative approach to improve forecasting
πŸ“Œ How to Build Prompt Engineering Expertise at Your Company

πŸ—‚ Category: LEADERSHIP AND MANAGEMENT

πŸ•’ Date: 2024-12-02 | ⏱️ Read time: 9 min read

You decided to employ generative AI at your company and have already conducted initial experiments…
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πŸ“Œ Machine Learning Experiments Done Right

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-12-02 | ⏱️ Read time: 8 min read

A detailed guideline for designing machine learning experiments that produce reliable, reproducible results.
πŸ“Œ Overcoming Security Challenges in Protecting Shared Generative AI Environments

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-12-02 | ⏱️ Read time: 15 min read

Ensuring Safe AI on Multi-Tenancy
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πŸ“Œ How I Built and Deployed an App in 2 days with Lovable, Supabase, and Netlify

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-09-18 | ⏱️ Read time: 8 min read

All ideas can be turned into action in a matter of time now.
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πŸ“Œ From Python to JavaScript: A Playbook for Data Analytics in n8n with Code Node Examples

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-09-18 | ⏱️ Read time: 17 min read

Learn the basics of JavaScript through tiny n8n Code node snippets for sales data analytics
πŸ“Œ Rapid Prototyping of Chatbots with Streamlit and Chainlit

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-09-18 | ⏱️ Read time: 12 min read

End-to-end demos, comparison of pros and cons, and practical recommendations
πŸ“Œ From Amnesia to Awareness: Giving Retrieval-Only Chatbots Memory

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-09-18 | ⏱️ Read time: 6 min read

Achieve natural multi-turn conversations without sacrificing content control.
πŸ“Œ Combining Large and Small LLMs to Boost Inference Time and Quality

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-12-05 | ⏱️ Read time: 8 min read

Implementing Speculative and Contrastive Decoding
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πŸ“Œ SQL vs. Calculators: Building Champion/Challenger Tests from Scratch

πŸ—‚ Category: ANALYTICS

πŸ•’ Date: 2024-12-04 | ⏱️ Read time: 14 min read

In depth SQL code for creating your own statistical test design
πŸ“Œ TDS Newsletter: How to Make Smarter Business Decisions with AI

πŸ—‚ Category: THE VARIABLE

πŸ•’ Date: 2025-09-18 | ⏱️ Read time: 3 min read

Research agents, budget planners, and more
πŸ“Œ TDS Newsletter: What You Need to Know About LLMs for Data Science

πŸ—‚ Category: THE VARIABLE

πŸ•’ Date: 2025-09-11 | ⏱️ Read time: 3 min read

How new tools are transforming data scientists’ essential workflows