Deep Learning Illustrated, Part 1: How Does a Neural Network Work?
An illustrated and intuitive guide to Neural Networks- 28188Murphy2025-03-22
A Data Mesh Implementation: Expediting Value Extraction from ERP/CRM Systems
Enabling fast data development from big operational systems- 27743Murphy2025-03-22
How to Handle Time Series Missing Data
What causes missing values, and how to deal with them, using Python- 22942Murphy2025-03-22
RAG Efficiency, Self-Learning Secrets, and the Business of AI (and Other January Must-Reads)
The stories that resonated the most with our community in the past month- 27930Murphy2025-03-22
Building a Random Forest by Hand in Python
A deep dive on a powerful and popular algorithm- 22264Murphy2025-03-22
The Generative AI Advantage: Product Strategies to Differentiate
Navigating the Changing Product Landscape: From Flashy Demos to Trustworthy AI Solutions that Win Customer Trust.- 27022Murphy2025-03-22
12 RAG Pain Points and Proposed Solutions
Solving the core challenges of Retrieval-Augmented Generation- 27951Murphy2025-03-22
Understanding Junctions (Chains, Forks and Colliders) and the Role they Play in Causal Inference
Explaining junctions using correlation, independence and regression to understand their critical importance in causal inference- 24395Murphy2025-03-22
AI Predicts Your Insides From Your Outsides With Pseudo-DXA
A Quantitatively Accurate and Clinically Useful Generative Medical Imaging Model- 23732Murphy2025-03-22
Optimizing Small Language Models on a Free T4 GPU
Comprehensive Guide to Fine-Tuning Phi-2 using Direct Preference Optimization- 25713Murphy2025-03-22
How to Implement a Custom Training Solution Based on Amazon EC2
A Simple Solution for Managing Cloud-Based ML-Training - Part 2- 25652Murphy2025-03-22
Communicate or Fail: The Underrated Skill That Tech Engineers Need
Have you ever been to a meeting where you came out less intelligent at the end than you went in because you did not understand anything about that meeting? It feels like you were waiting for the end of the meeting to go and continue your working day. On t- 23625Murphy2025-03-22
Why the Turing Test Became Obsolete
And what to use instead- 26353Murphy2025-03-22
Using Causal Graphs to answer causal questions
Causal AI, exploring the integration of causal reasoning into machine learning- 27714Murphy2025-03-22
How to use Zero-Shot Classification for Sentiment Analysis
Exploring mental well-being insights with zero-shot classification- 25619Murphy2025-03-22
What Is the Biggest Number?
In the abstract world that we call home, how many digits do we need? A non-technical journey to the longest sum of all- 25747Murphy2025-03-22
The Math behind Adam Optimizer
Why is Adam the most popular optimizer in Deep Learning? Let's understand it by diving into its math, and recreating the algorithm.- 29661Murphy2025-03-22
Revolutionizing Culinary Experiences with AI: Introducing FIRE (Food Image to REcipe generation)
From Visual Delights to Culinary Recipes: How AI Transforms Food Images into Recipes?- 23292Murphy2025-03-22
How Fast Is MLX? A Comprehensive Benchmark on 8 Apple Silicon Chips and 4 CUDA GPUs
A benchmark of the main operations and layers on MLX, PyTorch MPS and CUDA GPUs.- 22131Murphy2025-03-22
Find Unusual Segments in Your Data with Subgroup Discovery
Patient rule induction method finds 35% better segments than previously reported- 27408Murphy2025-03-22
The current state of continual learning in AI
Why is ChatGPT only trained up until 2021?
Optimizing Pandas Code: The Impact of Operation Sequence
Learn how to rearrange your code to achieve significant speed improvements.