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Water Cooler Small Talk: Why Does the Monty Hall Problem Still Bother Us? 🐐🚗 | by Maria Mouschoutzi, PhD | Nov, 2024 | Towards Data Science
Water cooler small talk is a special kind of small talk, typically observed in office spaces around a water cooler. There, employees frequently share all kinds of corporate gossip, myths, and…
How to Build a Data-Driven Customer Management System | by Hans Christian Ekne | Nov, 2024 | Towards Data Science
Imagine if your customer data could tell a story — one that drove key decisions, optimized pricing, and forecast future revenue with accuracy. As a data scientist, I have spent a large part of my…
Boost Your Python Code with CUDA. Target your GPU easily with Numba’s… | by Thomas Reid | Nov, 2024 | Towards Data Science
The TL;DR of the above was that I showed how to realise significant speed up in your Python code using Numba. Numba is a high-performance Python library designed to optimize your code for speed. At…
Building a Research Agent That Can Write to Google Docs (Part 1) | by Robert Martin-Short | Nov, 2024 | Towards Data Science
This article is the first of a two part series where we use LangGraph and Tavily to build a simple research agent, which writes and refines short articles. To keep track of the plans, articles and…
Your Data Quality Checks Are Worth Less (Than You Think) | by Chad Isenberg | Nov, 2024 | Towards Data Science
Over the last several years, data quality and observability have become hot topics. There is a huge array of solutions in the space (in no particular order, and certainly not exhaustive): Regardless…
Rewiring My Career: How I Transitioned from Electrical Engineering to Data Engineering | by Loizos Loizou | Nov, 2024 | Towards Data Science
I constantly come across posts in forums and blogs where people from different disciplines ask about how to switch to a career in data. So this article will take you through my journey, and how an…
Building a Research Assistant That Can Write to Google Docs (Part 2) | by Robert Martin-Short | Nov, 2024 | Towards Data Science
This article is the second of a two part series where we use LangGraph and Tavily to build a simple research agent, which writes and refines short articles. To keep track of the plans, articles and…
Is ReFT All We Needed?. Representation Fintuning — Beyond the… | by Mengliu Zhao | Nov, 2024 | Towards Data Science
Stanford published the paper ReFT: Representation finetuning for language models in May 2024, which immediately showed its great potential. In July 2024, Oxen.ai presented an experiment finetuning…
Distributed Decentralized Training of Neural Networks: A Primer | by Robert Lange | Nov, 2024 | Towards Data Science
As artificial intelligence advances, training large-scale neural networks, including large language models, has become increasingly critical. The growing size and complexity of these models not only…
Dance Between Dense and Sparse Embeddings: Enabling Hybrid Search in LangChain-Milvus | Omri Levy and Ohad Eytan | Towards Data Science
In this blog post, we will briefly introduce the difference between dense and sparse embeddings, and how you can leverage both using hybrid search. We’ll also provide a code walk-through to demonstrate how to use these new features in langchain-milvus.
The Root Cause of Why Organizations Fail With Data & AI | by Jens Linden, PhD | Nov, 2024 | Towards Data Science
Business value through Data and Artificial Intelligence. Everybody talks about it, yet most companies are struggling to monetize their data. I claim that in most cases, this is due to a lack of…
Feature Engineering Techniques for Healthcare Data Analysis | Real-World Examples & Insights by Leo Anello | Towards Data Science
Explore advanced feature engineering techniques tailored for healthcare data challenges. This guide by Leo Anello dives into real-world examples and strategies for transforming raw data into actionable insights. Perfect for data scientists and analysts looking to elevate their projects.
Third-Year Work Anniversary as a Data Scientist: Growth, Reflections and Acceptance | by Zijing Zhu, PhD | Nov, 2024 | Towards Data Science
Yesterday, your coworker messaged you that a celebration was held onsite for several work anniversaries, including yours. How time flies! At the end of the month, you will complete three years in…
Linear programming: Integer Linear Programming with Branch and Bound | by Jarom Hulet | Nov, 2024 | Towards Data Science
Up until now in this series, we’ve talked about strict linear programming — where the objective function, constraints and decision variables have all been linear and continuous. This linear set up…
Integrating Text and Images for Smarter Data Classification | by Youness Mansar | Nov, 2024 | Towards Data Science
A technical walk-through on leveraging multi-modal AI to classify mixed text and image data, including detailed instructions, executable code examples, and tips for effective implementation. In AI…
3 Triangle-Shaped Chart Ideas as Alternatives to Some Basic Charts | by Boriharn K | Nov, 2024 | Towards Data Science
Many charts are typically composed of rectangle or circle shapes, such as bar charts and pie charts. These charts are common and useful since they are not only easy to make, but also most people know…
Navigating Networks with NetworkX: A Short Guide to Graphs in Python | by Diego Penilla | Nov, 2024 | Towards Data Science
In a world brimming with connections — from social media friendships to complex transportation networks — understanding relationships and patterns is key to making sense of the systems around us…
Increasing Transformer Model Efficiency Through Attention Layer Optimization | by Chaim Rand | Nov, 2024 | Towards Data Science
Introduced in the landmark 2017 paper “Attention Is All You Need” (Vaswani et al., 2017), the Transformer architecture is widely regarded as one of the most influential scientific breakthroughs of…
Building a Local Voice Assistant with LLMs and Neural Networks on Your CPU Laptop | by Yu-Cheng Tsai | Nov, 2024 | Towards Data Science
With the rise of multimodal Large Language Models (LLMs), we can now interact with them in more ways than just typing text, like using audio inputs. OpenAI has recently released a voice feature for…
How to Create an Appealing Frontend for Your ML Application with Vercel V0 | by Eivind Kjosbakken | Nov, 2024 | Towards Data Science
Developing a clean and appealing website for your ML application can be difficult, especially if your primary work consists of backend or machine learning tasks. Personally, I mostly work on…
Agentic Mesh — Principles for an Autonomous Agent Ecosystem | by Eric Broda | Nov, 2024 | Towards Data Science
We are at the earliest stages of agent evolution. But with the massive investments being made in agent technology, I expect that quite soon we will have truly autonomous agents that act independently…
Exploring Music Transcription with Multi-Modal Language Models | by Jon Flynn | Nov, 2024 | Towards Data Science
Automatic music transcription is the process of converting audio files like MP3 and WAV into sheet music, guitar tablature, and any format a musician may want to learn a song on their instrument…
Spoiler Alert: The Magic of RAG Does Not Come from AI | by Frank Wittkampf | Nov, 2024 | Towards Data Science
Most quick proof of concepts (POCs) which allow a user to explore data with the help of conversational AI simply blow you away. It feels like pure magic when you can all of a sudden talk to your…
Open the Artificial Brain: Sparse Autoencoders for LLM Inspection | by Salvatore Raieli | Nov, 2024 | Towards Data Science
As AI systems grow in scale, it is increasingly difficult and pressing to understand their mechanisms. Today, there are discussions about the reasoning capabilities of models, potential biases…
Why Most Cross-Validation Visualizations Are Wrong (And How to Fix Them) | by Samy Baladram | Nov, 2024 | Towards Data Science
You know those cross-validation diagrams in every data science tutorial? The ones showing boxes in different colors moving around to explain how we split data for training and testing? Like this one…
Field Boundary Detection in Satellite Imagery Using the SAM2 Model | by Mahyar Aboutalebi, Ph.D. 🎓 | Nov, 2024 | Towards Data Science
Manually drawing field boundaries is one of the most time-consuming tasks, and its accuracy depends on the performance of the person doing it. However, accurate boundary detection has applications in…
Outlier Detection Using Random Forest Regressors: Leveraging Algorithm Strengths to Your Advantage | by Michael Zakhary | Towards Data Science
The problem of outlier detection can be tricky, especially if the ground truth or the description of what is an outlier is ambiguous or based upon multiple factors. Mathematically speaking, an…