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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UX10 GitHub Repositories to Master Cloud Computing
Learn cloud computing concepts, tools, and best practices through free, community-driven content on GitHub.
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The Case for Centralized AI Model Inference Serving
Optimizing highly parallel AI algorithm execution The post The Case for Centralized AI Model Inference Serving appeared first on Towards Data Science.
AI in Social Research and Polling
What do we do when nobody answers the phone? The post AI in Social Research and Polling appeared first on Towards Data Science.
4 Levels of GitHub Actions: A Guide to Data Workflow Automation
From a simple Python workflow to scheduled data processing and security management The post 4 Levels of GitHub Actions: A Guide to Data Workflow Automation appeared first on Towards Data Science.
Creating a Data Science Pipeline for Real-Time Analytics Using Apache Kafka and Spark
This article explains how to create a system that processes data in real time using Apache Kafka and Spark.
Fine-Tuning DistilBERT for Question Answering
This post is divided into three parts; they are: β’ Fine-tuning DistilBERT for Custom Q&A β’ Dataset and Preprocessing β’ Running the Training The simplest way to use a model in the transformers library is to create a pipeline, which hides many details about how to interact with it.
Tips for Writing Better Unit Tests for Your Python Code
Not a fan of testing Python code? Take small steps today with these tips for writing better unit tests.
A Practical Guide to Building Local RAG Applications with LangChain
Retrieval augmented generation (RAG) encompasses a family of systems that extend conventional language models , large and otherwise (LLMs), to incorporate context based on retrieved knowledge from a document base, thereby leading to more truthful and relevant responses being generated upon user queries.
5 Free Tutorials to Master Data Visualization with Seaborn
Data visualization in Python is a piece of cake with seaborn. Learn one of the most popular Python data visualization libraries with these five free tutorials.
Graph Neural Networks Part 3: How GraphSAGE Handles Changing Graph Structure
And how you can use it for largegraphs The post Graph Neural Networks Part 3: How GraphSAGE Handles Changing Graph Structure appeared first on Towards Data Science.
A Simple Implementation of the Attention Mechanism from Scratch
How attention helped models like RNNs mitigate the vanishing gradient problem and capture long-range dependencies among words The post A Simple Implementation of the Attention Mechanism from Scratch appeared first on Towards Data Science.
Create Your Supply Chain Analytics Portfolio to Land Your Dream Job
A guide for students and professionals to build real-world projects and showcase their skills using the Supply Chain Analytics Cheat Sheet. The post Create Your Supply Chain Analytics Portfolio to Land Your Dream Job appeared first on Towards Data Science.
Understanding the Tech Stack Behind Generative AI
From foundation models to vector databases and AI agents β what makes modern AI work The post Understanding the Tech Stack Behind Generative AI appeared first on Towards Data Science.
My Learning to Be Hired Again After a Year⦠Part 2
One year later: what I learned still matters The post My Learning to Be Hired Again After a Year⦠Part 2 appeared first on Towards Data Science.
VIP Cheatsheet: Transformers & Large Language Models
Learn more about this handy resource created by Afshine and Shervine Amidi for Stanford's CME 295 course.
3 Ways Vibe Coding and AI-Assisted Development Are 2 Different Things
Vibe coding and AI-assisted development are two trendy terms in today's tech jargon.
Advanced Q&A Features with DistilBERT
This post is divided into three parts; they are: β’ Using DistilBERT Model for Question Answering β’ Evaluating the Answer β’ Other Techniques for Improving the Q&A Capability BERT (Bidirectional Encoder Representations from Transformers) was trained to be a general-purpose language model that can understand text.
The Art of Hybrid Architectures
Combining CNNs and Transformers to Elevate Fine-Grained Visual Classification The post The Art of Hybrid Architectures appeared first on Towards Data Science.
A Little More Conversation, A Little Less Action β A Case Against Premature Data Integration
Running a large data integration project before embarking on the ML part is easily a bad idea, because you integrate data without knowing its use. The chances that the data is going to be fit for purpose in some future ML use case is slim, at best This article shows how having people talking together helps avoid the trap of premature data integration in ML projects, optimising value for money. The post A Little More...
Master the 3D Reconstruction Process: A Step-by-Step Guide
Learn the complete 3D reconstruction pipeline from feature extraction to dense matching. Master photogrammetry with Python code examples and open-source tools. The post Master the 3D Reconstruction Process: A Step-by-Step Guide appeared first on Towards Data Science.
AI Agents from Zero to Hero β Part 3
Build from scratch using only Ollama (no GPU, no APIKEY) The post AI Agents from Zero to Hero β Part 3 appeared first on Towards Data Science.
From Physics to Probability: Hamiltonian Mechanics for Generative Modeling and MCMC
Hamiltonian mechanics is a way to describe how physical systems, like planets or pendulums, move over time, focusing on energy rather than just forces. By reframing complex dynamics through energy lenses, this 19th-century physics framework now powers cutting-edge generative AI. It uses generalized coordinates ( q ) (like position) and their conjugate momenta ( p ) (related to momentum), forming a phase space that...
How to Format Your TDS Draft: A Quick(ish) Guide
Everything you need to know about creating a draft on our Contributor Portal The post How to Format Your TDS Draft: A Quick(ish) Guide appeared first on Towards Data Science.
A Gentle Introduction to Attention and Transformer Models
This post is divided into three parts; they are: β’ Origination of the Transformer Model β’ The Transformer Architecture β’ Variations of the Transformer Architecture Transformer architecture originated from the 2017 paper "Attention is All You Need" by Vaswani et al.
Building a Recommender System From Scratch with Matrix Factorization in Python
In this article, we will build step by step a movie recommender system in Python, based on matrix factorization.
7 GitHub Projects to Master Machine Learning
Learn model serving, CI/CD, ML orchestration, model deployment, local AI, and Docker to streamline ML workflows, automate pipelines, and deploy scalable, portable AI solutions effectively.
7 GitHub Projects to Master Machine Learning Operations
Learn model serving, CI/CD, ML orchestration, model deployment, local AI, and Docker to streamline ML workflows, automate pipelines, and deploy scalable, portable AI solutions effectively.
Data Science: From School to Work, Part III
Good practices for Python error handling and logging The post Data Science: From School to Work, Part III appeared first on Towards Data Science.
Japanese-Chinese Translation with GenAI: What Works and What Doesnβt
Evaluating GenAI in Japanese-Chinese translation: current limits and opportunities The post Japanese-Chinese Translation with GenAI: What Works and What Doesnβt appeared first on Towards Data Science.
Talk to Videos
Developing an interactive AI application for video-based learning in education and business The post Talk to Videos appeared first on Towards Data Science.
Why You Arenβt Getting Hired as a Data Science in 2025
Some say data science is dying, while others are more concerned with the imminent death of their own career.
A Guide to Integrating ChatGPT with Google Sheets
This guide provides a detailed, step-by-step explanation of how to connect ChatGPT with Google Sheets, along with practical examples and advanced features to make the most of this integration.
Automate Supply Chain Analytics Workflows with AI Agents usingΒ n8n
What if you could automate complete supply chain analytics workflows with low-code solutions? The post Automate Supply Chain Analytics Workflows with AI Agents usingn8n appeared first on Towards Data Science.
AI Agents from Zero to Hero β Part 2
Build from scratch using only Ollama (no GPU, no APIKEY) The post AI Agents from Zero to Hero β Part 2 appeared first on Towards Data Science.
Uncertainty Quantification in Machine Learning with an Easy Python Interface
The ML Uncertainty Package The post Uncertainty Quantification in Machine Learning with an Easy Python Interface appeared first on Towards Data Science.