Ridwan Ibidunnialjebraschool.hashnode.dev·11 hours agoPython for Machine LearningIntroduction Python's significance in the realm of machine learning stems from its straightforwardness, adaptability, and rich library support. As we venture into Python programming for machine learning, it's crucial to grasp the fundamental princip...DiscussMachine LearningMachine Learning
Simran Anandsimranblogss.hashnode.dev·Mar 26, 2024Optimization Strategies to achieve Bias Variance Tradeoff in Machine LearningA concise blog encompassing machine learning model optimization and evaluation strategies. Introduction In the fast-paced world of machine learning, striking the perfect balance between bias and variance is the key to unlocking the full potential of ...Discuss·10 likes·33 readsMachine Learning
Niharika Khannaniharikakhanna.hashnode.dev·Mar 21, 2024Understanding Regression Metrics in Machine Learning: A Comprehensive GuideIn the realm of machine learning, regression analysis serves as a fundamental tool for predicting continuous outcomes. However, merely building a regression model is insufficient; assessing its performance accurately is equally crucial. This is where...DiscussLinear Regression
Martyna SlawinskaforMindsDB Blogmindsdb.com·Mar 21, 2024How to Forecast Air Temperatures with AI + IoT Sensor DataWe all grasp the concept of forecasting. But when forecasting involves machine learning, it means applying serious compute power to vast quantities of data, then using AI to predict future values. Time-series AI models specialize in making forecasts....Discuss·116 readsforecasting
Keep Codingkeepcodingblog.hashnode.dev·Mar 20, 2024AI News Weekly by Keep Coding #2DeepMind Unveils Ground breaking AI Agent, SIMA, for Video Game Environments The Rundown: Google's AI powerhouse, DeepMind, has rolled out SIMA, a sophisticated AI agent capable of understanding and executing natural language instructions across a m...DiscussSIMA
misbahmishba.hashnode.dev·Mar 16, 2024Understanding Linear Regression: The Basics You Need to KnowIntroduction: Have you ever noticed how algorithms recommend movies you might like or predict traffic patterns? These are just a few examples of linear regression in action! Before we delve into this powerful technique, let's take a quick refresher o...Discuss·7 likesAI/MLData Science
Devrajsinh Jhaladevraj-jhala.hashnode.dev·Mar 7, 2024Joint Learning Approach for Machine LearningHello all, In this blog we will explore a novel model I developed which does fusion learning between 6 head CNN (multi-head) and Transformer for classification tasks like activities classification, or any other classification. I have written a paper ...DiscussMachine Learning
Lince Mathewlince.hashnode.dev·Mar 6, 2024How I Raised My ML Skills Using This Simple ProjectStruggles in Learning ML Do you spend hours of your day in front of large textbooks to learn mathematical concepts of machine learning such as linear algebra, calculus, or statistics? Learning machine learning concepts is highly challenging and time-...DiscussMachine Learning
Konrad RyłkoProagileandcode.com·Mar 5, 2024Logistic Regression with Nx and ElixirIn the previous post, I described how to create a Linear Regression Machine Learning model in Elixir from scratch. This time we'll discuss so similar yet different beast - Logistic Regression. Logistic Regression First things first - what is this fun...DiscussMachine Learning in ElixirElixir
Muhammad Talhataycan.hashnode.dev·Mar 4, 2024A Comprehensive guide to Handling Missing Values in dataIntroduction: Missing values, often referred to as "missing data," are a prevalent challenge in data analysis. They can arise from various reasons, such as data collection errors, human error during data entry, or incomplete information inherently pr...DiscussData Science