Machine Learning

Welcome to the Machine Learning Hub, your one-stop destination for all things related to machine learning!

Get ready to embark on an exciting journey into the realm of AI and discover how machines can learn and make intelligent decisions. Our blog articles are crafted with simplicity and clarity in mind, making complex machine learning concepts easy to understand for everyone. Whether you’re a beginner or an experienced practitioner, we’ve got you covered with informative and insightful content. Explore the fascinating world of algorithms, models, and data as we delve into supervised and unsupervised learning, reinforcement learning, and more. Discover practical applications in various domains like healthcare, finance, and autonomous vehicles.  From introductory guides to advanced techniques, we’re here to help you demystify machine learning and unlock its potential. Join us on this journey as we unravel the secrets of machine learning and empower you to build intelligent systems that can analyze data, make predictions, and drive innovation.

Let’s shape the future together with the power of machine learning!

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Stress Testing FastAPI Application – KDnuggets

Image by Author   # Introduction  Stress testing is crucial for understanding how your application behaves under heavy load. For machine learning-powered APIs, it is especially important because model inference can be CPU-intensive. By simulating a large number of users, we can identify performance bottlenecks, determine the capacity of our system, and ensure reliability. In this …

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Introducing Gemma 3 270M: The compact model for hyper-efficient AI

The last few months have been an exciting time for the Gemma family of open models. We introduced Gemma 3 and Gemma 3 QAT, delivering state-of-the-art performance for single cloud and desktop accelerators. Then, we announced the full release of Gemma 3n, a mobile-first architecture bringing powerful, real-time multimodal AI directly to edge devices. Our …

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Getting Started with Neo4j: Installation and Setup Guide

Image by Editor | ChatGPT   # Introduction  Neo4j is a powerful database that works with connected data. Unlike traditional databases that use tables, Neo4j uses nodes and relationships. This setup makes it easy to explore complex links in data. Neo4j is popular for projects like social networks, recommendation systems, and network analysis. This article will …

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Kaggle Game Arena evaluates AI models through games

Current AI benchmarks are struggling to keep pace with modern models. As helpful as they are to measure model performance on specific tasks, it can be hard to know if models trained on internet data are actually solving problems or just remembering answers they’ve already seen. As models reach closer to 100% on certain benchmarks, …

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How to Design Machine Learning Experiments — the Right Way

Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, community news, and more. It’s tempting to think that what separates a successful machine learning project from a not-so-great one is a cutting-edge model, more computing power, or a few extra teammates. In reality, throwing more resources …

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AI-Powered Feature Engineering with n8n: Scaling Data Science Intelligence

Image by Author | ChatGPT   # Introduction  Feature engineering gets called the ‘art’ of data science for good reason — experienced data scientists develop this intuition for spotting meaningful features, but that knowledge is tough to share across teams. You’ll often see junior data scientists spending hours brainstorming potential features, while senior folks end up …

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How AI is helping advance the science of bioacoustics to save endangered species

Science Published 7 August 2025 Authors The Perch Team Our new Perch model helps conservationists analyze audio faster to protect endangered species, from Hawaiian honeycreepers to coral reefs. One of the ways scientists protect the health of our planet’s wild ecosystems is by using microphones (or underwater hydrophones) to collect vast amounts of audio dense …

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Time Series Forecasting Made Simple (Part 3.2): A Deep Dive into LOESS-Based Smoothing

In Part 3.1 we started discussing how decomposes the time series data into trend, seasonality, and residual components, and as it is a smoothing-based technique, it means we need rough estimates of trend and seasonality for STL to perform smoothing. For that, we calculated a rough estimate of a trend by calculating it using the …

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The Importance of Visualization in Data Storytelling

Image by Author | Ideogram   # Once Upon a Time…  Data storytelling can be defined as the process of communicating insights from data through a compelling and structured narrative, turning raw figures and analytics into meaningful, captivating, and actionable stories. Data storytelling plays a crucial role in organizational and business decision-making, serving as a cornerstone …

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