Remove Clustering Remove Deep Learning Remove Natural Language Processing
article thumbnail

t-SNE (t-distributed stochastic neighbor embedding)

Dataconomy

Researchers, data scientists, and machine learning practitioners alike have embraced t-SNE for its effectiveness in transforming extensive datasets into visual representations, enabling a clearer understanding of relationships, clusters, and patterns within the data.

article thumbnail

Techniques for Data Scientists to Upskill with Large Language Models

Data Science Dojo

Natural Language Processing (NLP): Data scientists are incorporating NLP techniques and technologies to analyze and derive insights from unstructured data such as text, audio, and video. It is widely used for building and training machine learning models, particularly neural networks. H2O.ai: – H2O.ai

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Exploring the intricacies of deep learning models

Dataconomy

Deep learning models have emerged as a powerful tool in the field of ML, enabling computers to learn from vast amounts of data and make decisions based on that learning. In this article, we will explore the importance of deep learning models and their applications in various fields.

article thumbnail

Monitoring of Jobskills with Data Engineering & AI

Data Science Blog

The data is obtained from the Internet via APIs and web scraping, and the job titles and the skills listed in them are identified and extracted from them using Natural Language Processing (NLP) or more specific from Named-Entity Recognition (NER).

article thumbnail

Unravelling the Buzzwords: Artificial Intelligence vs Deep Learning Explained

Pickl AI

Summary: Artificial Intelligence (AI) and Deep Learning (DL) are often confused. AI vs Deep Learning is a common topic of discussion, as AI encompasses broader intelligent systems, while DL is a subset focused on neural networks. Is Deep Learning just another name for AI? Is all AI Deep Learning?

article thumbnail

Introduction to applied data science 101: Key concepts and methodologies 

Data Science Dojo

It leverages algorithms to parse data, learn from it, and make predictions or decisions without being explicitly programmed. From decision trees and neural networks to regression models and clustering algorithms, a variety of techniques come under the umbrella of machine learning.

article thumbnail

Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

Clustering (Unsupervised). With Clustering the data is divided into groups. By applying clustering based on distance, the villages are divided into groups. The center of each cluster is the optimal location for setting up health centers. The center of each cluster is the optimal location for setting up health centers.