Visual Guides to understand the basics of Large Language Models
A compilation of tools and articles that intuitively break down the complicated AI concepts- 26629Murphy2025-03-22
Boosting Algorithms in Machine Learning, Part I: AdaBoost
Understanding the logic behind AdaBoost and implementing it using Python- 28664Murphy2025-03-22
Learning Discrete Data with Harmoniums: Part I, The Essentials
From the Archives: Generative AI in the '00s- 23747Murphy2025-03-22
Gaussian Processes from Scratch
Gain a deeper understanding of Gaussian processes by implementing them with only NumPy- 27771Murphy2025-03-22
Demystifying Graph Neural Networks
Uncovering the power and applications of a rising deep learning Algorithm- 23967Murphy2025-03-22
Top 30 GitHub Python Projects At The Beginning Of 2024
Repositories with the most stars!- 23612Murphy2025-03-22
Ablation Testing Neural Networks: The Compensatory Masquerade
Disruptively testing parts of neural networks and other ML architectures to make them more robust (Image generated by author using DALL-E). Interesting what AI thinks of it’s own brain. In a similar fashion to how a person’s intellect can be s- 26086Murphy2025-03-22
TE2Rules: Explaining "Why did my model say that?"
Taking model explainability beyond images and text- 24070Murphy2025-03-22
Machine Learning in Business: 5 things a Data Science course won't teach you
The author shares some important aspects of Applied Machine Learning that can be overlooked in formal Data Science education.- 26639Murphy2025-03-22
Why Are Advanced RAG Methods Crucial for the Future of AI?
Mastering Advanced RAG: Unlocking the Future of AI-Driven Applications- 21358Murphy2025-03-22
TFT: an Interpretable Transformer
A deep exploration of TFT, its implementation using Darts and how to interpret a Transformer- 25005Murphy2025-03-22
Algorithmic Alchemy with The Fast Fourier Transform
The Ultimate Guide to Mechanics of the FFT Algorithm with Applications in Signal Processing Photo by Stephen Niemeier: https://www.pexels.com/photo/black-and-silver-mixing-board-63703/ Contents Introduction What is the Fourier Transform? 2.1 Time Domain 2- 25606Murphy2025-03-22
Keep Track of Your Backtests with DVC's Experiment Tracking
Part 4 of the tutorial on how to use DVC for experiment tracking, this time, with time series forecasting- 22985Murphy2025-03-22
Streamline Data Pipelines: How to Use WhyLogs with PySpark for Data Profiling and Validation
Learn to use whylogs with PySpark for data profiling and validation- 21014Murphy2025-03-22
Solving Reasoning Problems with LLMs in 2023
It's the beginning of 2024 and ChatGPT just celebrated its one-year birthday. One year is a super long time for the community of large...- 24903Murphy2025-03-22
Merge Large Language Models with mergekit
Create your own models easily, no GPU required!- 23017Murphy2025-03-22
Does Using an LLM During the Hiring Process Make You a Fraud as a Candidate?
Employers, ditch the AI detection tools and ask one important question instead.- 25147Murphy2025-03-22
Python Water Quality – Baseline Classification Model
Assess feature importance when estimating water quality using a reference baseline model- 25729Murphy2025-03-22
I Tried Data Analysis ChatGPT Plugin: Every Analyst's Dream or a Nightmare in Disguise
ChatGPT Plugin Review - I did this experiment so you don't have to. Spoiler Alert - my brain is about to explode...- 20538Murphy2025-03-22
How I Became A Data Scientist – No CS Degree, No Bootcamp
How I went from despising coding to being a fully fledged Data Scientist- 28974Murphy2025-03-22
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.