Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out.

The Exploratory Data Analysis Problem The prudent scientist must interrogate the data with a laundry list of statistical questions to determine the data’s fit-for-use in AI and ML projects.

SM seeks qualitative and quantitative contributions that address the full range of methodological problems confronted by empirical research in the social sciences, including conceptualization, data ...

This paper attempts to define Exploratory Data Analysis (EDA) more precisely than usual, and to produce the beginnings of a philosophy of this topical and somewhat novel branch of statistics. A data ...

Considering the growth, job possibilities, and interest among students, Harvard University is offering free courses on Data Science. Check the list of 9 free courses here.

Mona, the maker of an AI monitoring platform, has introduced a new automated exploratory data analysis tool to identify the root cause of anomalies in multivariate datasets. Multivariate data analysis ...

Atlanta and Tel Aviv — February 14, 2023 – Intelligent monitoring platform maker Mona has announced an automated exploratory data analysis tool to identify the root-cause of anomalies in multivariate ...

Combined with an AI agent, Google said users will be able to have the agent autonomously build entire analytical workflows, including exploratory data analysis, data cleaning, features and machine ...

While traditional data science practices have paved the way for critical insights and informed decision-making, AI has propelled the discipline into a new era of unprecedented speed, scale and ...