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 Demystifying Policy Optimization in RL: An Introduction to PPO and GRPO

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2025-05-26 | ⏱️ Read time: 16 min read

A beginner-friendly guide to PPO and GRPO: simplifying policy optimization in reinforcement learning
πŸ“Œ Prototyping Gradient Descent in Machine Learning

πŸ—‚ Category:

πŸ•’ Date: 2025-05-23 | ⏱️ Read time: 10 min read

Mathematical theorem and credit transaction prediction using Stochastic / Batch GD
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πŸ“Œ Estimating Product-Level Price Elasticities Using Hierarchical Bayesian

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-05-23 | ⏱️ Read time: 21 min read

Using one model to personalize ML results
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πŸ“Œ Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-05-23 | ⏱️ Read time: 5 min read

Improve static analysis and run-time validation with full generic specification
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πŸ“Œ How to Evaluate LLMs and Algorithms β€” The Right Way

πŸ—‚ Category: THE VARIABLE

πŸ•’ Date: 2025-05-23 | ⏱️ Read time: 3 min read

This week, we focus on the best strategies for evaluating and benchmarking the performance of…
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πŸ“Œ Multiple Linear Regression Analysis

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-05-22 | ⏱️ Read time: 12 min read

Implementation of multiple linear regression on real data: Assumption checks, model evaluation, and interpretation of…
πŸ“Œ Google’s AlphaEvolve: Getting Started with Evolutionary Coding Agents

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-05-22 | ⏱️ Read time: 20 min read

Introduction AlphaEvolve 1 is a promising new coding agent by Google’s DeepMind. Let’s look at…
πŸ“Œ Inheritance: A Software Engineering Concept Data Scientists Must Know To Succeed

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-05-22 | ⏱️ Read time: 12 min read

Coding concepts that distinguish an amateur from a professional data scientist
πŸ“Œ What Statistics Can Tell Us About NBA Coaches

πŸ—‚ Category:

πŸ•’ Date: 2025-05-22 | ⏱️ Read time: 10 min read

Using Python to determine where NBA coaches come from and what makes them successful
πŸ“Œ About Calculating Date Ranges in DAX

πŸ—‚ Category: DATA ANALYSIS

πŸ•’ Date: 2025-05-22 | ⏱️ Read time: 7 min read

When performing date calculations, creating date ranges can be helpful. But how can we do…
πŸ“Œ Top Machine Learning Jobs and How to Prepare For Them

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-05-21 | ⏱️ Read time: 8 min read

Explaining the different machine learning roles
πŸ“Œ Use PyTorch to Easily Access Your GPU

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-05-21 | ⏱️ Read time: 12 min read

Or β€¦ how an ML library can accelerate non-ML computations
πŸ“Œ Building AI Applications in Ruby

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-05-21 | ⏱️ Read time: 15 min read

Why Ruby may be the best language to write your next AI web application
πŸ“Œ What the Most Detailed Peer-Reviewed Study on AI in the Classroom Taught Us

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-05-20 | ⏱️ Read time: 8 min read

A meta analysis that turns out positive yet identifies the need for further research
πŸ“Œ I Teach Data Viz with a Bag of Rocks

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-05-20 | ⏱️ Read time: 5 min read

Here’s Why Domain-Specific Integration Matters in Your Data Science Workflows
πŸ“Œ Optimizing Multi-Objective Problems with Desirability Functions

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-05-20 | ⏱️ Read time: 8 min read

Applied to a very real problem: baking bread!
πŸ“Œ How to Set the Number of Trees in Random Forest

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-05-16 | ⏱️ Read time: 13 min read

A practical introduction to the optRF package
πŸ“Œ How to Build an AI Journal with LlamaIndex

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-05-16 | ⏱️ Read time: 10 min read

A step-by-step guide for building an AI assistant powered by LlamaIndex
πŸ“Œ The Automation Trap: Why Low-Code AI Models Fail When You Scale

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-05-16 | ⏱️ Read time: 7 min read

Low-code AI platforms promise speed, a model without a single line of code. But when…
πŸ“Œ Agentic AI 102: Guardrails and Agent Evaluation

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-05-16 | ⏱️ Read time: 12 min read

An introduction to tools that make your model safer and more predictable and performant.