Indu Jawlacoders.hashnode.dev·Oct 14, 2024Understanding Machine Learning: Key Concepts and TechniquesMachine learning, a subfield of artificial intelligence, empowers computers to learn from data and make decisions without being explicitly programmed. It is typically categorized into two main types: supervised learning and unsupervised learning. Sup...DiscussMachine Learning
Niladri Dasniladridas.hashnode.dev·Aug 11, 2024Everything You Need to Know About XGBoostXGBoost (eXtreme Gradient Boosting) is a popular open-source machine learning library that provides a scalable and efficient way to perform gradient boosting. It works on Linux, Microsoft Windows, and macOS. It's widely used for classification and re...DiscussInterpretable
Rashid Ul Haqrashid-ul-haq.hashnode.dev·Jul 14, 2024Mastering Binary Classification with Pure TensorFlow: An In-Depth Step-by-Step GuideIn this blog post, we will dive into the world of binary classification using TensorFlow, covering essential concepts like variables, operations, gradients, and more. Binary classification is a fundamental task in machine learning, where the objectiv...Discuss·10 likesDeep Learning UnpluggedCrossEntropy
Venu Madhav Emmadivenumadhavemmadi.hashnode.dev·Mar 16, 2024Latency vs. Accuracy - System DesignIn system design, there is a fine trade-off between accuracy and latency, especially in the creation of applications and services. Accuracy is the degree to which the results produced by the system are accurate and precise; latency is the amount of t...Discuss·2 likes·160 readsSystem Designlatency
Yuvraj Singhyuvraj01.hashnode.dev·Jul 11, 2023Accuracy in Machine Learning: How Much is Good Enough, and When Should You Use Other Metrics?I hope you are doing great, today we will discuss about one of the most commonly used and simplest evaluation for classificatoin problem called accuracy. Connected to accuracy we will also discuss what is the major drawback of using accuracy, when no...Discuss·1 like·56 readsWeMakeDevs
Barry Ugochukwuwritemlcode.hashnode.dev·Mar 14, 202310 Expert Tips to Optimize Your Machine Learning Model Performance and Boost AccuracyMachine learning is a remarkable method for constructing models that can learn from data and provide predictions. Nevertheless, even though these models are impressive, they are not flawless and often necessitate optimization to achieve optimal perfo...Discuss·45 readsExpert Tips to Optimize Machine Learning Model Performance and Boost Accuracy Model
Smridhi Guptasmridhiwrites.hashnode.dev·Jan 18, 2023Performance Measurement of ML Algorithms: The Comedy EditionPerformance measurement of machine learning algorithms is a serious business. Or at least it should be. But let's be real, sometimes it's just plain boring. So, in the spirit of shaking things up, I present to you: "Performance Measurement of ML Algo...Discuss·35 readsMachine Learning
Agin ElvisforShe Code Africa Nairobiscanairobi.hashnode.dev·Sep 8, 2022Accuracy as a ML Model Evaluation MetricIntroduction Consider a classification model like the one in our previous article on Exploratory Data Analysis (EDA) that was determining whether a job is fraudulent or not. The algorithm is trained and we want to see how well it performs on a set of...Discuss·13 likes·63 readsaccuracy
Ajala marvellousmadeofajala.hashnode.dev·Jun 24, 2022Accuracy, Recall and Precision: Understanding When To Use Which and Business importanceIntroduction I’m sure every data scientist starts their data science journey by pumping those accuracy scores, trying to squeeze out an extra 0.5% to move their 99% accurate model to 99.5% while also trying to maintain a healthy balance of preventing...Discuss·71 readsMachine Learning
