Gerard Sansai-cosmos.hashnode.dev·Oct 29, 2024The Hype vs. Reality of AI: Rethinking Temperature and CreativityIn the rapidly evolving world of artificial intelligence, particularly in the realm of large language models (LLMs), a significant disconnect exists between technical accuracy and the aspirational language that permeates the discourse. Terms like "de...73 readsAI
Deepak Kumar Mohantykumarblog-1.hashnode.dev·Oct 26, 2024Finding the Best-Fit Line in Linear Regression – Manual Minimization vs. Gradient DescentWhen working with linear regression, the goal is to identify the best-fit line that captures the relationship between your input (independent) variable x and output (dependent) variable y. This line, represented by the equation: $$h_{\theta}(x) = \th...best fit line
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...Interpretable
Sujit Nirmalblackshadow.hashnode.dev·Jul 26, 2024Hyperparameter Tuning in Gradient Boosting: Best Practices and Common PitfallsIn our previous blog, we explored the fundamentals of the gradient boosting algorithm, a powerful ensemble technique used for both classification and regression tasks. Now, let's dive deeper into the topic by discussing hyperparameter tuning, which i...#fine Tuning models
Chinmay Pandyachinmaypandya.hashnode.dev·Jun 24, 2024Increasing Accuracy of Your Neural Network: A Guide to Hyperparameter TuningIn the quest to build highly accurate neural networks, one of the most crucial steps is hyperparameter tuning. This involves fine-tuning various parameters that significantly impact the performance of your model. Let's dive into the key hyperparamete...neural networks
Spheron NetworkforSpheron's Blogblog.spheron.network·Jun 7, 2024Best Practices for LLM Hyperparameter TuningWhen choosing the best large language models (LLMs) for your organization, there are many factors to consider. One important aspect is the model's parameter count; generally, larger models tend to perform better. You might also look at performance be...1.3K readsLLMllm
K Ahameddatailm.hashnode.dev·Jan 14, 2024Hyperparameter Optimization Techniques for Optimal Model PerformanceHyperparameter optimization is a crucial step in the development of machine learning models. It involves tuning the configuration settings of a model, known as hyperparameters, to achieve optimal performance. The process aims to find the right combin...Machine Learninghyperparameter tunning
Saurabh Naiksaurabhz.hashnode.dev·Nov 13, 2023Cross-Validation Chronicles: Elevating Model Evaluation with Python's Best TechniquesIntroduction: In the realm of machine learning, model performance evaluation is a critical aspect of the development process. One powerful tool in the data scientist's toolkit is cross-validation. This technique helps assess a model's performance, pr...Data Science project lifecycleMachine Learning
Saurabh Naiksaurabhz.hashnode.dev·Nov 13, 2023In Pursuit of Model Excellence: The Ultimate Guide to Hyperparameter TuningIntroduction: Hyperparameter tuning plays a pivotal role in optimizing machine learning models for better performance. The selection of appropriate hyperparameters significantly influences a model's ability to generalize to new, unseen data. In this ...Data Science project lifecycleMachine Learning
Tobias Anyigortobai.hashnode.dev·Jun 10, 2023Hyperparameter Tuning of Xgbregressor Model Using Randomized SearchI. Introduction Some machine learning models contain hyperparameters that must be fine-tuned to achieve the desired result. Hyperparameter tuning refers to the process of varying the selected hyperparameters either manually or automatically. The metr...hyperparameter tunning
