DeepGuide for DeepSeek

Introduction to Optimization Constraints with SciPy
Explore bounds, linear and nonlinear constraints with practical Python examples
21505Murphy2025-03-23
Correlation – When Pearson's r Is Not Enough
Comparison of various correlation methodologies
29705Murphy2025-03-23
Identifying Drivers of Spotify Song Popularity With Causal ML
What makes a song "tick"?
20409Murphy2025-03-23
Your First Recommendation System: From Data Preparation to ML Debugging and Improvements Assessment
This article will help solve this issue, save time and avoid mistakes.
28325Murphy2025-03-23
Understanding KL Divergence
Kullback-Leibler divergence metric (relative entropy) is a statistical measurement from information theory that is commonly used to quantify the difference between one probability distribution from a reference probability distribution. While it is po
23753Murphy2025-03-23
How Industry Data Scientists Make Their Work Count
Our weekly selection of must-read Editors' Picks and original features
21624Murphy2025-03-23
ChatGPT and the Future (Present) We're Facing
2023 will be much more intense and overwhelming than 2022, so tighten your seatbelts
23708Murphy2025-03-23
Custom Kafka Streaming metrics using Apache Spark Prometheus Sink
A detailed tutorial on how to create and expose custom Kafka Consumer metrics in Apache Spark's PrometheusServlet
28615Murphy2025-03-23
Prediction Performance Drift: The Other Side of the Coin
We know the causes, let's talk about the types
28440Murphy2025-03-23
Back To Basics, Part Uno: Linear Regression and Cost Function
An illustrated guide on essential machine learning concepts
22188Murphy2025-03-23
Optimization, Newton's Method, & Profit Maximization: Part 2- Constrained Optimization Th
Learn how to extend Newton's Method to and solve constrained optimization problems
27681Murphy2025-03-23
Anomaly Detection using Sigma Rules (Part 2) Spark Stream-Stream Join
A class of Sigma rules detect temporal correlations. We evaluate the scalability of Spark's stateful symmetric stream-stream join to...
29950Murphy2025-03-23
Uncovering the Pioneering Journey of Word2Vec and the State of AI science – an in-depth interv
In 2012, Dr Tomas Mikolov received his PhD in Artificial Intelligence at the Brno University of Technology in the Czech Republic with a...
21179Murphy2025-03-23
Understanding Causal Trees
CAUSAL DATA SCIENCE How to use regression trees to estimate heterogeneous treatment effects Cover, image by Author In causal inference, we are usually interested in estimating the causal effect of a treatment (a drug, ad, product, …) on an outcome o
21094Murphy2025-03-23
How to Use Map Functions for Data Science in R
Learn powerful functional programming tools from the tidyverse
21471Murphy2025-03-23
How to Find the Best Theoretical Distribution for Your Data
Knowing the underlying data distribution is an essential step for data modeling and has many applications, such as anomaly detection...
29739Murphy2025-03-23
Dear Data Scientist, Be Organized!
A quick guide to improve your organizational skills and, consequently, your performance.
28457Murphy2025-03-23
Variance Reduction in Experiments – Part 1: Intuition
The intuition behind variance reduction and why it is important in randomized experiments.
26951Murphy2025-03-23
Mixture of Experts for PINNs (MoE-PINNs)
Utilising Ensembles to enhance Physics-Informed Neural Networks
30055Murphy2025-03-23
Building a LAS File Data Explorer App with Streamlit
Exploring Log ASCII Standard files using Python and Streamlit
21930Murphy2025-03-23

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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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