Snorkel AI

JULY 3, 2023

It has always amazed me how much time the data cleaning portion of my job takes to complete. So today I’m going to talk about an approach I often use to help remedy the time burden: reusable data cleaning pipelines. And we’ve been talking about citizen data scientists for the longest time.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Pipeline Machine Learning Data Scientist 52

Snorkel AI

JULY 3, 2023

It has always amazed me how much time the data cleaning portion of my job takes to complete. So today I’m going to talk about an approach I often use to help remedy the time burden: reusable data cleaning pipelines. And we’ve been talking about citizen data scientists for the longest time.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Pipeline Data Scientist Machine Learning 52

Snorkel AI

JULY 3, 2023

It has always amazed me how much time the data cleaning portion of my job takes to complete. So today I’m going to talk about an approach I often use to help remedy the time burden: reusable data cleaning pipelines. And we’ve been talking about citizen data scientists for the longest time.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Pipeline Data Scientist Machine Learning 52

Dataconomy

MARCH 19, 2025

Data engineering lays the groundwork by managing data infrastructure, while data preparation focuses on cleaning and processing data for analysis. Predictive analytics utilizes statistical algorithms and machine learning to forecast future outcomes based on historical data.

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Pickl AI

DECEMBER 4, 2024

The Current State of Data Science Data Science today is characterised by its integration with various technologies and methodologies that enhance its capabilities. The field has evolved significantly from traditional statistical analysis to include sophisticated Machine Learning algorithms and Big Data technologies.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

DataRobot

FEBRUARY 22, 2021

The founding of the 10X Academy is part of DataRobot’s commitment to developing automation that improves the productivity of data scientists while democratizing access to AI for non-data scientists. In terms of data analysis, I scraped huge datasets and applied NLP, feature engineering, and ML algorithms using Python.”.

Data Science 52

Data Science Data Scientist Citizen Data Scientist Data Analyst 52

DataRobot

OCTOBER 8, 2021

The DataRobot AI Cloud platform enables the security team to minimize the time it takes to assess the disparate logs and speed up decision-making through machine learning algorithms that predict possible outcomes. After the data predictions, DataRobot can autoroute information as needed or provide advice for analysts to act upon.

Citizen Data Scientist 52

Citizen Data Scientist AI AI Data Scientist 52

Mlearning.ai

MAY 3, 2023

Large Language Models & Frameworks used — Overview Large language models or LLMs are AI algorithms trained on large text corpus, or multi-modal datasets, enabling them to understand and respond to human queries in a very natural human language way. Students and Teachers.

Python 52

Python Natural Language Processing Data Scientist Citizen Data Scientist 52

DataRobot Blog

FEBRUARY 4, 2021

In business environments, there are an average of 30x more business analysts than there are data scientists. When you engage those business analysts in your AI effort, you can create citizen data scientists and train them to identify ways that AI might help solve the business problems they grapple with everyday.

AI 52

AI AI Data Scientist Citizen Data Scientist 52

Dataconomy

MARCH 5, 2025

Difference between data scientist and other roles Data scientists have specific skills and responsibilities that set them apart from similar job titles, such as: Data Analyst: Focuses primarily on data analysis and reporting, typically earning a median salary of $71,645.

Data Scientist 91

Data Scientist Citizen Data Scientist Exploratory Data Analysis Machine Learning 91

AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate machine learning (ML) predictions for their business needs. You can also view the entire model building workflow, including suggested preprocessing steps, algorithms, and hyperparameter ranges in a notebook.

Machine Learning 120

Machine Learning Machine Learning Algorithm Citizen Data Scientist 120