Dataconomy

APRIL 3, 2025

t-SNE (t-distributed stochastic neighbor embedding) has become an essential tool in the realm of data analytics, standing out for its ability to unravel the complexities inherent in high-dimensional data. t-SNE was developed by Laurens van der Maaten and Geoffrey Hinton in 2008 to visualize high-dimensional data.

Clustering 91

Clustering Exploratory Data Analysis Data Analysis Data Analysis 91

Tableau

DECEMBER 1, 2021

In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. And with this work, I invite discussions about this history, my analysis, and the implications for the future of analytics.

Tableau 145

Tableau ML ML Database 145

Kaggle

APRIL 20, 2020

I’m also a part-time software developer for 11ants analytics. In 2009 and 2010, I participated the UCSD/FICO data mining contests. After the first 10 testing submissions, I realised that there was a concept drift happening between 2007 and 2008. My PhD research focuses on meta-learning and the full model selection problem.

Algorithm 61

Algorithm Data Mining Data Mining Data Mining 61

Tableau

DECEMBER 1, 2021

In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. And with this work, I invite discussions about this history, my analysis, and the implications for the future of analytics.

Tableau 98

Tableau ML ML Database 98

Pickl AI

MARCH 7, 2025

The Power of Machine Learning and AI in Data Science Machine Learning (ML) and AI are integral components of Data Science that enable systems to learn from data without explicit programming. Example: IBM Watson Health uses AI-powered analytics for cancer treatment recommendations.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Dataconomy

MARCH 5, 2025

As the demand for data expertise continues to grow, understanding the multifaceted role of a data scientist becomes increasingly relevant. What is a data scientist? A data scientist integrates data science techniques with analytical rigor to derive insights that drive action.

Data Scientist 91

Data Scientist Citizen Data Scientist Exploratory Data Analysis Machine Learning 91

AWS Machine Learning Blog

NOVEMBER 18, 2024

For example, instead of writing complex SQL queries, an analyst could simply ask, “How many female patients have been admitted to a hospital in 2008?” This dataset is commonly used for research and development purposes, because it provides a realistic representation of healthcare data without compromising patient privacy.

SQL 101

SQL Database AWS AI 101