DeepGuide for DeepSeek

What are Digital Twins?
Bridging the physical and digital worlds
22786Murphy2025-03-22
Calculating the Uncertainty Coefficient (Theil's U) in Python
A measure of correlation between discrete (categorical) variables
23672Murphy2025-03-22
Unleash the Power of Probability to Predict the Future of Your Business
A Practical Guide to Applying Probability Concepts with Python in Real-World Contexts
28260Murphy2025-03-22
Understanding LLMs from Scratch Using Middle School Math
In this article, we talk about how LLMs work, from scratch - assuming only that you know how to add and multiply two numbers. The article...
26173Murphy2025-03-22
All you need to know about Non-Inferiority Hypothesis Test
A non-inferiority test proves that a new treatment is not worse than the standard by more than a clinically acceptable margin
25864Murphy2025-03-22
How to Get Started on Your Data Science Career Journey
Six considerations for beginners to pick a resource for upskilling in Data Science and AI/ML
28459Murphy2025-03-22
Implementing Anthropic's Contextual Retrieval for Powerful RAG Performance
This article will show you how to implement the contextual retrieval idea proposed by Anthropic
25398Murphy2025-03-22
AI Model Optimization on AWS Inferentia and Trainium
Tips for accelerating ML with AWS Neuron SDK
20178Murphy2025-03-22
ETL Pipelines in Python: Best Practices and Techniques
Strategies for Enhancing Generalizability, Scalability, and Maintainability in Your ETL Pipelines
22195Murphy2025-03-22
Discretization, Explained: A Visual Guide with Code Examples for Beginners
6 fun ways to categorize numbers into bins!
20467Murphy2025-03-22
Implementing "Modular RAG" with Haystack and Hypster
Transforming RAG Systems into LEGO-like Reconfigurable Frameworks
29053Murphy2025-03-22
Evaluating Model Retraining Strategies
How data drift and concept drift matter to choose the right retraining strategy?
27752Murphy2025-03-22
Linked Lists – Data Structures & Algorithms for Data Scientists
How linked lists and queues work under the hood
28504Murphy2025-03-22
Using Vector Steering to Improve Model Guidance
Exploring the Research on Vector Steering and Coding Up an Implementation
27575Murphy2025-03-22
How I Studied LLMs in Two Weeks: A Comprehensive Roadmap
A day-by-day detailed LLM roadmap from beginner to advanced, plus some study tips
26860Murphy2025-03-22
Game Theory, Part 1 – The Prisoner's Dilemma Problem
Game theory is prevalent in real-life scenarios and decision-making
28272Murphy2025-03-22
Why Scaling Works: Inductive Biases vs The Bitter Lesson
Building deep insights with a toy problem
22927Murphy2025-03-22
Deep Learning vs Data Science: Who Will Win?
What is more important, your data or your model?
22469Murphy2025-03-22
Self-Service ML with Relational Deep Learning
Do ML directly on your relational database
20913Murphy2025-03-22
Time Series – From Analyzing the Past to Predicting the Future
How to learn from the past with time series.
20648Murphy2025-03-22

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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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