On July 9 (9am–1pm Pacific), I’ll be teaching a 4‑hour live workshop for O’Reilly: Building Data Apps with Streamlit and Copilot. This is the second time I’ve run this workshop, and I’ve made several improvements based on what I learned the first time. If you work in Python and want to turn your analyses into […] Read more ›
Top Data Science Courses to Strengthen Your Data Analytics, Python, and Business Intelligence Skills
Data science is not a single skill it is a combination of capabilities that you build over time. The harder problem is choosing a program that fits your work week, your budget, and the role you are actually targeting. In India, hiring demand continues to point toward Python, SQL, machine learning, BI tools, and GenAI... The post appeared first on . Read more ›
Samsung Electronics is rolling out ChatGPT Enterprise and Codex to all employees in Korea as well as to the global workforce in its Device eXperience division. Thank you for being a Ghacks reader. The post appeared first on <a href=" Read more ›
Based on the complementary and enhanced fusion of 3D point clouds and 2D RGB images, this paper designs an end-to-end learning framework—Point Cloud Enhanced Depth Pixel Fusion Network (PEPF-Net), aimed at enabling robots to achieve accurate 3D perception of unstructured environments. In the process, we address four key problems in 3D perception tasks: enhancing RGB representation using the reflection intensity and depth information of point clouds to generate Depth-RGB Pixel (D-Pixel); propo... Read more ›
Understanding Neurons, Neural Networks, Neural Connections, Activation Functions & More Read more ›
I released kitcat a while back: a matplotlib backend that draws plots directly into your terminal instead of opening a GUI window. The original release was barely a hundred lines and dead simple, and I’ve ended up reaching for it almost every day since. Read more ›
Southwest Research Institute (SwRI) is developing electronics and flight software for the NASA/U.S. Geological Survey (USGS) Landsat 10 satellite, which is set to launch in 2031 to collect new and improved Earth observation data. The mission continues NASA's and USGS's partnership on the ongoing Landsat program, which has launched nine satellites since 1972 and provided more than 10 million images of Earth's surface. Read more ›
Tiny autograd engine + neural net in Java, a readable micrograd port with an interactive backprop playground - anand-krishanu/micrograd4j Read more ›
This was Intended to be a BSD only blog, but now it's about all Unix Like Free Operating Systems, Linux, FreeBSD etc. Read more ›
This study aims to enhance maritime security by using advanced Artificial Intelligence (AI) and Computer Vision (CV) techniques. For this purpose, it was designed and assessed intelligent object detection systems that can detect the presence of ships on the sea surface under different real-time environments. To achieve this goal, a maritime image dataset with 6,468 images was used, covering different weather conditions like cloudy, foggy, rainy,... Read more ›
Build Your Own Web Application Using HTML, CSS, JavaScript & Python Based Flask Web Framework DescriptionThis course will help enhance your career as a full-stack developer. Python, the most popular programming language, is utilized for the entire backend, boosting your programming skills. This hands-on course emphasizes practicality, with a focus on writing code. Design the… The post first appeared on <a href=" Read more ›
A Blog post by Amazon on Hugging Face Read more ›
Traditional machine learning pipelines for predictive tasks like text classification usually rely on extracting structured, numerical features from raw text — for instance, TF-IDF frequencies or token embeddings — to feed into classical models such as logistic regression, ensembles, or support vector machines. Read more ›
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In this post, we walk through the problem space, our architecture on Amazon Bedrock and Amazon OpenSearch Serverless, the evaluation methodology we built on OpenStreetMap ground truth, four experiments that compared embedding models, fusion strategies, captioning, and search methods, and the practical guidance you can apply when building a similar system. You’ll learn which design choices move the needle for geospatial semantic search, including why Amazon Nova Multimodal Embeddings delivered... Read more ›
I’ve been learning linear algebra for AI. I’m not an expert. But I just built a complete vector library from scratch — no NumPy, no… Read more ›
I did not choose DeepSeek because I think GPT-4 is bad. I chose it because I was building a free app, and free apps teach you what actually matters pretty fast. The question was simple: how do I keep sessions cheap enough that people can practice a lot without me lighting money on fire? The answer pushed me toward DeepSeek-V3 (and later R1 for specific tasks). The real constraint was volume The app is a conversation practice tool. People come in to rehearse hard talks, not to admire the model... Read more ›
Deep learning models based on Vision Transformers (ViTs) have shown strong performance in retinal fundus imaging, but their interpretability remains poorly understood. In particular, attention-based attribution methods are widely used to explain ViT predictions, despite limited evaluation of their faithfulness and biological relevance in medical imaging. Here, we systematically benchmark four attention-based interpretability methods for RETFound, a retinal ViT-based foundation model, that we ... Read more ›