Machine Learning
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Real Machine Learning β€” simple, practical, and built on experience.
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πŸ“Œ What Does It Take to Get Your Foot in the Door as a Data Scientist?

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-10-17 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
πŸ“Œ Carving out your competitive advantage with AI

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-10-17 | ⏱️ Read time: 15 min read

Why the future of AI isn’t just automation – It’s craftsmanship, strategy, and innovation
πŸ“Œ Decoding Nonlinear Signals In Large Observational Datasets

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-09-24 | ⏱️ Read time: 28 min read

Rain, snow, or something In between?
πŸ“Œ RAG Explained: Reranking for Better Answers

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-09-24 | ⏱️ Read time: 10 min read

How reranking improves retrieval-augmented generation by surfacing the most relevant results
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πŸ“Œ PyTorch Explained: From Automatic Differentiation to Training Custom Neural Networks

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2025-09-24 | ⏱️ Read time: 15 min read

Deep learning is shaping our world as we speak. In fact, it has been slowly…
πŸ“Œ Introducing the AI-3P Assessment Framework: Score AI Projects Before Committing Resources

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-09-24 | ⏱️ Read time: 13 min read

A question-driven scorecard to prioritize and de-risk AI initiatives before implementation
πŸ“Œ ETL Pipelines in Python: Best Practices and Techniques

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-10-20 | ⏱️ Read time: 12 min read

Strategies for Enhancing Generalizability, Scalability, and Maintainability in Your ETL Pipelines
πŸ“Œ AI Model Optimization on AWS Inferentia and Trainium

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-10-20 | ⏱️ Read time: 11 min read

Tips for accelerating ML with AWS Neuron SDK
πŸ“Œ How to Get Started on Your Data Science Career Journey

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-10-20 | ⏱️ Read time: 6 min read

Six considerations for beginners to pick a resource for upskilling in Data Science and AI/ML
πŸ“Œ Understanding LLMs from Scratch Using Middle School Math

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-10-19 | ⏱️ Read time: 52 min read

In this article, we talk about how LLMs work, from scratch – assuming only that…
πŸ“Œ How Much Stress Can Your Server Handle When Self-Hosting LLMs?

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-19 | ⏱️ Read time: 7 min read

Do you need more GPUs or a modern GPU? How do you make infrastructure decisions?
πŸ“Œ The One Mindset Change That Launched Me into Data Science

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-19 | ⏱️ Read time: 13 min read

Make it happen: tiny changes to break into data science or any dream career
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πŸ“Œ Cognitive Prompting in LLMs

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-10-19 | ⏱️ Read time: 9 min read

Can we teach machines to think like humans?
πŸ“Œ A Critical Look at AI Image Generation

πŸ—‚ Category: ART

πŸ•’ Date: 2024-10-17 | ⏱️ Read time: 12 min read

What does image generative AI really tell us about our world?
πŸ“Œ All You Need to Know to Build Radial Charts in Tableau

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-10-17 | ⏱️ Read time: 7 min read

You will never forget it after this!
πŸ“Œ Fine-Tuning BERT for Text Classification

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-10-17 | ⏱️ Read time: 6 min read

A hackable example with Python code
πŸ“Œ Create Your Own Prompt Enhancer from Scratch

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-10-17 | ⏱️ Read time: 11 min read

How to emulate OpenAI’s system prompt generator functionality
πŸ“Œ Temporal-Difference Learning: Combining Dynamic Programming and Monte Carlo Methods for Reinforcement Learning

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-10-17 | ⏱️ Read time: 17 min read

Milestones of RL: Q-Learning and Double Q-Learning
πŸ“Œ Visualization of Data with Pie Charts in Matplotlib

πŸ—‚ Category:

πŸ•’ Date: 2024-10-16 | ⏱️ Read time: 5 min read

Examples of how to create different types of pie charts using Matplotlib to visualize the…
πŸ“Œ A Novel Approach to Detect Coordinated Attacks Using Clustering

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-10-16 | ⏱️ Read time: 18 min read

Unveiling hidden patterns: grouping malicious behavior
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πŸ“Œ Exploring DRESS Kit V2

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-10-16 | ⏱️ Read time: 13 min read

Exploring new features and notable changes in the latest version of the DRESS Kit