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

Mlearning.ai

APRIL 13, 2023

Photo by Robo Wunderkind on Unsplash In general , a data scientist should have a basic understanding of the following concepts related to kernels in machine learning: 1. Machine learning algorithms rely on mathematical functions called “kernels” to make predictions based on input data. What are kernels? Linear Kernels 2.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Support Vector Machines 52

Dataconomy

OCTOBER 5, 2023

AI has made significant contributions to various aspects of our lives in the last five years ( Image credit ) How do AI technologies learn from the data we provide? AI technologies learn from the data we provide through a structured process known as training. Another form of machine learning algorithm is known as unsupervised learning.

AI 136

AI AI Artificial Intelligence Artificial Intelligence 136

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. Interpretability: Transformer models are not as interpretable as other machine learning models, such as decision trees and logistic regression.

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. Interpretability: Transformer models are not as interpretable as other machine learning models, such as decision trees and logistic regression.

Natural Language Processing 195

Natural Language Processing Decision Trees Deep Learning Deep Learning 195