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
20821Murphy2025-03-22
Reinforcement Learning 101: Q-Learning
Decoding the Math behind Q-Learning, Action-Value Functions, Bellman Equations, and building them from scratch in Python.
25443Murphy2025-03-22
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.
20813Murphy2025-03-22
Visualizing Gradient Descent Parameters in Torch
Prying behind the interface to see the effects of SGD parameters on your model training
27136Murphy2025-03-22
Working with Python Dataclasses and Dataclass Wizard
Let's create Python data objects in a few lines of code!
25211Murphy2025-03-22
The stacking ensemble method
Understand stacking using scikit-learn.
26860Murphy2025-03-22
Vision Transformers, Explained
A Full Walk-Through of Vision Transformers in PyTorch
23002Murphy2025-03-22
Attention for Vision Transformers, Explained
The Math and the Code Behind Attention Layers in Computer Vision
21841Murphy2025-03-22
How to Tune the Perfect Smoother
Get the most out of your data with Whittaker-Eilers smoothing and leave-one-out cross validation
29929Murphy2025-03-22
How to Design a Data-Driven Story
A step-by-step guide
23652Murphy2025-03-22
Position Embeddings for Vision Transformers, Explained
The Math and the Code Behind Position Embeddings in Vision Transformers
29067Murphy2025-03-22
Markov Chain Monte Carlo: Made Simple Once and For All
Introduction to MCMC, dividing it into its simplest terms
29791Murphy2025-03-22
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
29686Murphy2025-03-22
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
27767Murphy2025-03-22
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
24146Murphy2025-03-22
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
27643Murphy2025-03-22
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
21623Murphy2025-03-22
Exploring My LinkedIn Journey Through Data Analysis
Uncovering Patterns in My Posts and Engagement - A data related one-year journey
27918Murphy2025-03-22
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?
27132Murphy2025-03-22
What are Emotions, Legally Speaking? And does it even matter?
Exploring the Legal Framework for Emotion in Emotion Recognition Tech
23844Murphy2025-03-22

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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.

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