Using Clustering Algorithms for Player Recruitment
Which players could help Fulham overcome their major flaws?- 23521Murphy2025-03-22
Callbacks and Pipeline structures in LangChain
Learn about the structure of LangChain pipelines, callbacks, how to create custom callbacks and integrate them into your pipelines for...- 25726Murphy2025-03-22
The Limitations and Advantages of Retrieval Augmented Generation (RAG)
Exploring situations in which Retieval Augemented Generation (RAG) excels and those in which it falls short- 25266Murphy2025-03-22
The Math Behind Deep CNN – AlexNet
Dive into AlexNet, the first modern CNN, understand its mathematics, implement it from scratch, and explore its applications.- 26549Murphy2025-03-22
Productionize LLM RAG App in Django – Part I: Celery
Automate Pinecone Daily Upsert Task with Celery and Slack monitoring- 25662Murphy2025-03-22
Expectations & Realities of a Student Data Scientist
I'm Not Just Punching In Numbers At A Computer All Day- 24990Murphy2025-03-22
Simulated Data, Real Learnings : Simulating Systems
Part 4 - Simulating to Understand Systems- 24187Murphy2025-03-22
Leveraging Python Pint Units Handler Package - Part 1
Operate and manipulate physical quantities in Python- 27630Murphy2025-03-22
Practical Computer Simulations for Product Analysts
Part 1: Task-specific approaches for scenario forecasting- 23438Murphy2025-03-22
Towards Reliable Synthetic Control
Making the estimated treatment effect close to the truth- 29748Murphy2025-03-22
Please Make this AI Less Accurate
Demystifying the term "accuracy" in Data Science and Artificial Intelligence- 21492Murphy2025-03-22
You've Got a Time Series. Now What?
How to do exploratory data analysis of a time series- 25648Murphy2025-03-22
Advanced Retriever Techniques to Improve Your RAGs
Master Advanced Information Retrieval: Cutting-edge Techniques to Optimize the Selection of Relevant Documents with Langchain to Create...- 23711Murphy2025-03-22
N-of-1 Trials and Analyzing Your Own Fitness Data
Do I really sleep worse after drinking alcohol?- 21074Murphy2025-03-22
The 4 Hats of a Full-Stack Data Scientist
How to become a data science "unicorn"- 27017Murphy2025-03-22
How Do We Know if AI Is Smoke and Mirrors?
Musings on whether the "AI Revolution" is more like the printing press or crypto. (Spoiler: it's neither.)- 27754Murphy2025-03-22
(Un)Objective Machines: A Look at Historical Bias in Machine Learning
A deep dive into biases in machine learning, with a focus on historical (or social) biases.- 26624Murphy2025-03-22
Mistral vs Mixtral: Comparing the 7B, 8x7B, and 8x22B Large Language Models
Running the 7B and 22B Models in Google Colab- 21889Murphy2025-03-22
AI Mapping: Using Neural Networks to Identify House Numbers
Comparing artificial and convolutional neural networks in classifying Google Street View house numbers- 29822Murphy2025-03-22
How to Implement Knowledge Graphs and Large Language Models (LLMs) Together at the Enterprise Level
Large Language Models (LLMs) and Knowledge Graphs (KGs) are different ways of providing more people access to data. KGs use semantics to connect datasets via their meaning i.e. the entities they are representing. LLMs use vectors and deep n- 23778Murphy2025-03-22
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.