DeepGuide for DeepSeek

Better Visualizations, Advanced ETL Techniques, RAG Pain Points, and Other February Must-Reads
The stories that resonated the most with our community in the past month
20861Murphy2025-03-22
Reinforcement Learning 101: Q-Learning
Decoding the Math behind Q-Learning, Action-Value Functions, Bellman Equations, and building them from scratch in Python.
25479Murphy2025-03-22
Improving LLM Inference Latency on CPUs with Model Quantization
Discover how to significantly improve inference latency on CPUs using quantization techniques for mixed, int8, and int4 precisions.
20851Murphy2025-03-22
Visualizing Gradient Descent Parameters in Torch
Prying behind the interface to see the effects of SGD parameters on your model training
27173Murphy2025-03-22
Working with Python Dataclasses and Dataclass Wizard
Let's create Python data objects in a few lines of code!
25248Murphy2025-03-22
The stacking ensemble method
Understand stacking using scikit-learn.
26898Murphy2025-03-22
Vision Transformers, Explained
A Full Walk-Through of Vision Transformers in PyTorch
23042Murphy2025-03-22
Attention for Vision Transformers, Explained
The Math and the Code Behind Attention Layers in Computer Vision
21880Murphy2025-03-22
How to Tune the Perfect Smoother
Get the most out of your data with Whittaker-Eilers smoothing and leave-one-out cross validation
29967Murphy2025-03-22
How to Design a Data-Driven Story
A step-by-step guide
23689Murphy2025-03-22
Position Embeddings for Vision Transformers, Explained
The Math and the Code Behind Position Embeddings in Vision Transformers
29105Murphy2025-03-22
Markov Chain Monte Carlo: Made Simple Once and For All
Introduction to MCMC, dividing it into its simplest terms
29828Murphy2025-03-22
Impact of Rising Sea Levels on Coastal Residential Real Estate Assets
Using scenario based stress testing to identify medium (2050) and long term (2100) sea level rise risks
29724Murphy2025-03-22
Tokens-to-Token Vision Transformers, Explained
A Full Walk-Through of the Tokens-to-Token Vision Transformer, and Why It's Better than the Original
27805Murphy2025-03-22
Choosing the Right Number of Neighbors (k) for the K-Nearest Neighbors (KNN) Algorithm
Six methods to measure the effect of the number of neighbors on KNN model evaluation
24183Murphy2025-03-22
Bounded Kernel Density Estimation
Learn how Kernel Density Estimation works and how you can adjust it to better handle bounded data, like age, height, or price
27682Murphy2025-03-22
A Real World, Novel Approach to Enhance Diversity in Recommender Systems
Addressing the long tail problem and enhancing the recommendation experience for users on the Headspace App
21661Murphy2025-03-22
Exploring My LinkedIn Journey Through Data Analysis
Uncovering Patterns in My Posts and Engagement - A data related one-year journey
27957Murphy2025-03-22
3 ways to leverage Apple Silicon's GPU for Deep Learning
Apple Silicon has brought impressive performance gains with great power efficiency. Can we use these chips for Deep Learning as well?
27169Murphy2025-03-22
What are Emotions, Legally Speaking? And does it even matter?
Exploring the Legal Framework for Emotion in Emotion Recognition Tech
23881Murphy2025-03-22

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Genius Cliques: Mapping out the Nobel Network
Combining Network Science, Data Visualization, and Wikipedia to uncover hidden connections between all the Nobel laureates.
Data Science Expertise Comes in Many Shapes and Forms
Our weekly selection of must-read Editors' Picks and original features

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