KDnuggets

JANUARY 20, 2020

Also: Top 9 Mobile Apps for Learning and Practicing Data Science; Classify A Rare Event Using 5 Machine Learning Algorithms; The Future of Machine Learning; The Book to Start You on Machine Learning.

Decision Trees 165

Decision Trees Algorithm Machine Learning Machine Learning 165

Data Science Dojo

MAY 27, 2024

A visual representation of generative AI – Source: Analytics Vidhya Generative AI is a growing area in machine learning, involving algorithms that create new content on their own. This approach involves techniques where the machine learns from massive amounts of data.

K-nearest Neighbors 338

K-nearest Neighbors Supervised Learning AI AI 338

Flipboard

JUNE 3, 2025

By employing machine-learning models, this study utilizes agronomical and molecular features to predict powdery mildew disease resistance in Barley (Hordeum Vulgare L). Subsequently, Decision Tree, Random Forest, Neural Network, and Gaussian Process Regression models were compared using MAE, RMSE, and R2 metrics.

Machine Learning 65

Machine Learning Machine Learning Decision Trees Algorithm 65

Heartbeat

SEPTEMBER 13, 2023

This guide will buttress explainability in machine learning and AI systems. The explainability concept involves providing insights into the decisions and predictions made by artificial intelligence (AI) systems and machine learning models. What is Explainability?

Machine Learning 52

Machine Learning Machine Learning AI AI 52

AWS Machine Learning Blog

OCTOBER 30, 2024

Solution overview In this post, we demonstrate how to fine-tune a sentence transformer with Amazon product data and how to use the resulting sentence transformer to improve classification accuracy of product categories using an XGBoost decision tree. Kara is passionate about innovation and continuous learning.

Machine Learning 101

Machine Learning Machine Learning AWS Data Scientist 101

Data Science Dojo

AUGUST 16, 2023

2018: Transformer models achieve state-of-the-art results on a wide range of NLP tasks, including machine translation, text summarization, and question answering. 2020: LLMs are used to create even more powerful models such as GPT-3. publish the paper “Attention is All You Need”, which introduces the transformer model.

Natural Language Processing 195

Natural Language Processing Decision Trees Deep Learning Deep Learning 195

Data Science Dojo

AUGUST 16, 2023

2018: Transformer models achieve state-of-the-art results on a wide range of NLP tasks, including machine translation, text summarization, and question answering. 2020: LLMs are used to create even more powerful models such as GPT-3. publish the paper “Attention is All You Need”, which introduces the transformer model.

Natural Language Processing 195

Natural Language Processing Decision Trees Deep Learning Deep Learning 195