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10 Essential Docker Commands for Data Engineering
Tired of 'it works on my machine' problems? Learn the top 10 Docker commands every data engineer needs to build, deploy, and scale projects like a pro!
Published on: February 25, 2025 | Source:
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Enhancing RAG: Beyond Vanilla Approaches
Retrieval-Augmented Generation (RAG) is a powerful technique that enhances language models by incorporating external information retrieval mechanisms. While standard RAG implementations improve response relevance, they often struggle in complex retrieval scenarios. This article explores the limitations of a vanilla RAG setup and introduces advanced techniques to enhance its accuracy and efficiency. The Challenge with...
Published on: February 25, 2025 | Source:Auto-Completion Style Text Generation with GPT-2 Model
This post is in six parts; they are: โข Traditional vs Neural Approaches โข Auto-Complete Architecture โข Basic Auto-Complete Implementation โข Caching and Batched Input When you type in a word in Google's search bar, such as "machine", you may find some additional words are suggested, such as "learning," to make up "machine learning".
Published on: February 24, 2025 | Source:The Next AI Revolution: A Tutorial Using VAEs to Generate High-Quality Synthetic Data
Leverage the BasicVAE architecture to generate synthetic data and improves the classification accuracy on an imbalanced dataset The post The Next AI Revolution: A Tutorial Using VAEs to Generate High-Quality Synthetic Data appeared first on Towards Data Science.
Published on: February 21, 2025 | Source:Do European M&Ms Actually Taste Better than American M&Ms?
An overly-enthusiastic application of science and data visualization to a question weโve all been asking The post Do European M&Ms Actually Taste Better than American M&Ms? appeared first on Towards Data Science.
Published on: February 21, 2025 | Source:Talking about Games
Game Theory 101: terms and concepts The post Talking about Games appeared first on Towards Data Science.
Published on: February 21, 2025 | Source:Using DistilBERT for Resource-Efficient Natural Language Processing
DistilBERT is a smaller, faster version of BERT that performs well with fewer resources. Itโs perfect for environments with limited processing power and memory.
Published on: February 21, 2025 | Source:Becoming a Machine Learning Engineer in 2025
Read some honest advice on how to become a machine learning engineer.
Published on: February 21, 2025 | Source:Becoming an Machine Learning Engineer in 2025
Read some honest advice on how to become a machine learning engineer.
Published on: February 21, 2025 | Source:Understanding RAG Part VI: Effective Retrieval Optimization
Be sure to check out the previous articles in this series: โข
Published on: February 21, 2025 | Source:Unraveling Spatially Variable Genes: A Statistical Perspective on Spatial Transcriptomics
The article was written by Guanao Yan, Ph.D. student of Statistics and Data Science at UCLA. Guanao is the first author of the Nature Communications review article [1]. Spatially resolved transcriptomics (SRT) is revolutionizing genomics by enabling the high-throughput measurement of gene expression while preserving spatial context. Unlike single-cell RNA sequencing (scRNA-seq), which captures transcriptomes [โฆ] The...
Published on: February 21, 2025 | Source:How To Generate GIFs from 3D Models with Python
Complete Tutorial to Automate 3D Data Visualization. Use Python to convert point clouds and 3D models into GIFs & MP4s for easy sharing and collaboration The post How To Generate GIFs from 3D Models with Python appeared first on Towards Data Science.
Published on: February 21, 2025 | Source:Reinforcement Learning with PDEs
Previously we discussed applying reinforcement learning to Ordinary Differential Equations (ODEs) by integrating ODEs within gymnasium. ODEs are a powerful tool that can describe a wide range of systems but are limited to a single variable. Partial Differential Equations (PDEs) are differential equations involving derivatives of multiple variables that can cover a far broader range [โฆ] The post Reinforcement Learning...
Published on: February 21, 2025 | Source:How to Use an LLM-Powered Boilerplate for Building Your Own Node.js API
For a long time, one of the common ways to start new Node.js projects was using boilerplate templates. These templates help developers reuse familiar code structures and implement standard features, such as access to cloud file storage. With the latest developments in LLM, project boilerplates appear to be more useful than ever. Building on this [โฆ] The post How to Use an LLM-Powered Boilerplate for Building Your Own...
Published on: February 21, 2025 | Source:Donโt Let Conda Eat Your Hard Drive
If youโre an Anaconda user, you know thatconda environmentshelp you manage package dependencies, avoid compatibility conflicts, and share your projects with others. Unfortunately, they can also take over your computerโs hard drive. I write lots of computer tutorials and to keep them organized, each has a dedicated folder structure complete with a conda environment. This [โฆ] The post Donโt Let Conda Eat Your Hard Drive...
Published on: February 20, 2025 | Source:Data Scientist, Data Engineer, or Technology Manager: Which Job Is Right for You?
Whatever role is best for youโdata scientist, data engineer, or technology managerโNorthwestern University's MS in Data Science program will help you to prepare for the jobs of today and the jobs of the future.
Published on: February 20, 2025 | Source:AI Agents from Zero to Hero โ Part 1
Intro AI Agents are autonomous programs that perform tasks, make decisions, and communicate with others. Normally, they use a set of tools to help complete tasks. In GenAI applications, these Agents process sequential reasoning and can use external tools (like web searches or database queries) when the LLM knowledge isnโt enough. Unlike a basic chatbot, [โฆ] The post AI Agents from Zero to Hero โ Part 1 appeared first...
Published on: February 20, 2025 | Source:Big O Complexity Cheat Sheet for Coding Interviews
This is a comprehensive cheat sheet on algorithmic complexity for coding interviews.
Published on: February 20, 2025 | Source:Hosting Khoj for Free: Your Personal Autonomous AI App
Turn your local LLMs into a personal, autonomous AI application that can effortlessly retrieve answers from the web or your documents.
Published on: February 20, 2025 | Source:Why Data Scientists Should Care about Containers โ and Stand Out with This Knowledge
โI train models, analyze data and create dashboards โ why should I care about containers?โ Many people who are new to the world of data science ask themselves this question. But imagine you have trained a model that runs perfectly on your laptop. However, error messages keep popping up in the cloud when others access [โฆ] The post Why Data Scientists Should Care about Containers โ and Stand Out with This Knowledge...
Published on: February 20, 2025 | Source:Advanced Time Intelligence in DAX with Performance in Mind
We all know the usual Time Intelligence function based on years, quarters, months, and days. Butsometimes, we need to perform more exotic timer intelligence calculations. But we should not forget to consider performance while programming the measures. Introduction There are many DAX functions in Power BI for Time Intelligence Measures. The most common are: You [โฆ] The post Advanced Time Intelligence in DAX with...
Published on: February 20, 2025 | Source:Multimodal Search Engine Agents Powered by BLIP-2 and Gemini
This post was co-authored with Rafael Guedes. Introduction Traditional models can only process a single type of data, such as text, images, or tabular data. Multimodality is a trending concept in the AI research community, referring to a modelโs ability to learn from multiple types of data simultaneously. This new technology (not really new, but [โฆ] The post Multimodal Search Engine Agents Powered by BLIP-2 and Gemini...
Published on: February 19, 2025 | Source:Formulation of Feature Circuits with Sparse Autoencoders in LLM
Large Language models (LLMs) have witnessed impressive progress and these large models can do a variety of tasks, from generating human-like text to answering questions. However, understanding how these models work still remains challenging, especially due a phenomenon called superposition where features are mixed into one neuron, making it very difficult to extract human understandable [โฆ] The post Formulation of...
Published on: February 19, 2025 | Source:Zero Human Code: What I Learned from Forcing AI to Build (and Fix) Its Own Code for 27 Straight Days
27 days, 1,700+ commits, 99,9% AI generated code The narrative around AI development tools has become increasingly detached from reality. YouTube is filled with claims of building complex applications in hours using AI assistants. The truth? I spent 27 days building ObjectiveScope under a strict constraint: the AI tools would handle ALL coding, debugging, and [โฆ] The post Zero Human Code: What I Learned from Forcing AI...
Published on: February 19, 2025 | Source:A Gentle Introduction to Symbolic AI
How can the latest AI solutions and applications benefit from symbolic AI? This article introduces and discusses this intriguing area of the field.
Published on: February 19, 2025 | Source:Math, Machine Learning & Coding Needed For LLMs
The goal of this article is to guide you through the essential mathematical foundations, machine learning techniques, and coding practices needed to work with LLMs.
Published on: February 19, 2025 | Source:How to Use the Trainer API in Hugging Face for Custom Training Loops
Learn how to develop custom training loop with Hugging Face Transformers and the Trainer API.
Published on: February 19, 2025 | Source:Data Scientist: From School to Work, Part I
Nowadays, data science projects do not end with the proof of concept; every project has the goal of being used in production. It is important, therefore, to deliver high-quality code. I have been working as a data scientist for more than ten years and I have noticed that juniors usually have a weak level in [โฆ] The post Data Scientist: From School to Work, Part I appeared first on Towards Data Science.
Published on: February 19, 2025 | Source:Understanding Probability Distributions for Machine Learning with Python
In machine learning, probability distributions play a fundamental role for various reasons: modeling uncertainty of information and data, applying optimization processes with stochastic settings, and performing inference processes, to name a few.
Published on: February 19, 2025 | Source:How to Do Named Entity Recognition (NER) with a BERT Model
This post is in six parts; they are: โข The Complexity of NER Systems โข The Evolution of NER Technology โข BERT's Revolutionary Approach to NER โข Using DistilBERT with Hugging Face's Pipeline โข Using DistilBERT Explicitly with AutoModelForTokenClassification โข Best Practices for NER Implementation The challenge of Named Entity Recognition extends far beyond simple pattern matching or dictionary lookups.
Published on: February 19, 2025 | Source:How to Fine-Tune DistilBERT for Emotion Classification
The customer support teams were drowning with the overwhelming volume of customer inquiries at every company Iโve worked at. Have you had similar experiences? What if I told you that you could use AI to automatically identify, categorize, and even resolve the most common issues? By fine-tuning a transformer model like BERT, you can build [โฆ] The post How to Fine-Tune DistilBERT for Emotion Classification appeared first...
Published on: February 19, 2025 | Source:Learning How to Play Atari Games Through Deep Neural Networks
In July 1959, Arthur Samuel developed one of the first agents to play the game of checkers. What constitutes an agent that plays checkers can be best described in Samuelโs own words, โโฆa computer [that] can be programmed so that it will learn to play a better game of checkers than can be played by [โฆ] The post Learning How to Play Atari Games Through Deep Neural Networks appeared first on Towards Data Science.
Published on: February 18, 2025 | Source:Honestly Uncertain
Ethical issues aside, should you be honest when asked how certain you are about some belief? Of course,it depends. In this blog post, youโll learn on what. A probabilistic quiz game David Spiegelhalterโs new (as of 2025) fantastic book, โThe Art of Uncertaintyโ โ a must-read for everyone who deals with probabilities and their communication [โฆ] The post Honestly Uncertain appeared first on Towards Data Science.
Published on: February 18, 2025 | Source:How LLMs Work: Pre-Training to Post-Training, Neural Networks, Hallucinations, and Inference
With the recent explosion of interest in large language models (LLMs), they often seem almost magical. But letโs demystify them. I wanted to step back and unpack the fundamentalsโbreaking down how LLMs are built, trained, and fine-tuned to become the AI systems we interact with today. This two-part deep dive is something Iโve been meaning [โฆ] The post How LLMs Work: Pre-Training to Post-Training, Neural Networks,...
Published on: February 18, 2025 | Source:The Future of Data: How Decision Intelligence is Revolutionizing Data
In the past few years, technology and AI have evolved more than ever. As I read about the new concepts in tech and learn new skills and techniques each day, I feel in a state of limboโthere is so much content to consume and yet, very little content that I could create. In the rapidly [โฆ] The post The Future of Data: How Decision Intelligence is Revolutionizing Data appeared first on Towards Data Science.
Published on: February 18, 2025 | Source: