Algorithm, Citizen Data Scientist and Data Scientist

Data scientist

Dataconomy

MARCH 5, 2025

Data scientists play a crucial role in today’s data-driven world, where extracting meaningful insights from vast amounts of information is key to organizational success. As the demand for data expertise continues to grow, understanding the multifaceted role of a data scientist becomes increasingly relevant.

Data Scientist

Data Scientist Citizen Data Scientist Exploratory Data Analysis Machine Learning

Responsible Citizen Data Science. Yes, it is Possible.

DataRobot Blog

JULY 9, 2019

To retain market leadership in the algorithm economy, enterprises require new ways to maximize the value of data and AI with citizen data scientists. Don’t think citizen data science is. by Jen Underwood. Read More.

Data Science

Data Science Citizen Data Scientist Data Scientist Algorithm

Data science

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.

Data Science

Data Science Citizen Data Scientist Data Scientist Machine Learning

Webinars

What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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How to establish lineage transparency for your machine learning initiatives

IBM Journey to AI blog

MAY 20, 2024

From predicting customer behavior to optimizing business processes, ML algorithms are increasingly being used to make decisions that impact business outcomes. Have you ever wondered how these algorithms arrive at their conclusions? The answer lies in the data used to train these models and how that data is derived.

Machine Learning

Machine Learning Machine Learning Data Scientist ML

Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data…

ODSC - Open Data Science

SEPTEMBER 20, 2023

Adam Ross Nelson on Confident Data Science In this interview, we talk about what confident data science is, how data scientists can confidently and ethically use AI, and emerging fields like prompt engineering.

Data Science

Data Science Data Scientist AI AI

Recent 10X Academy Graduates Ready to Hit the Data Science Ground Running

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

Data Science Data Scientist Citizen Data Scientist Data Analyst

DataRobot Joins the AWS ISV Workload Migration Program

DataRobot Blog

MARCH 28, 2022

DataRobot provides a Machine Learning platform that allows data scientists and citizen data scientists to quickly and efficiently prepare, build and evaluate many competing models in order to identify the optimal algorithm to solve the use case.

AWS

AWS Citizen Data Scientist Machine Learning Machine Learning

Predicting the Future of Data Science

Pickl AI

DECEMBER 4, 2024

The rise of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) , and Big Data analytics is reshaping industries and creating new opportunities for Data Scientists. Automated Machine Learning (AutoML) will democratize access to Data Science tools and techniques.

Data Science

Data Science Data Scientist Machine Learning Machine Learning

Create A Stronger Cyber Workforce with AI

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

Citizen Data Scientist AI AI Data Scientist

10 Keys to AI Success in 2021

DataRobot Blog

FEBRUARY 4, 2021

While it has been fun for data scientists to test what machine learning can do, companies that invest huge resources into their AI solutions want to see results. It’s incredibly important to build a bridge between what your data scientists are working on and the business outcome.

AI

AI AI Data Scientist Citizen Data Scientist

Making AI More Accessible With LLM Alignment, Prompt Engineering Skills, and a 2-for-1 ODSC West…

ODSC - Open Data Science

SEPTEMBER 28, 2023

How Data Scientists Can Benefit from Using LinkedIn More Let’s discuss how to use LinkedIn to your advantage as a data scientist to find a new job, highlight your expertise, and expand your network. Check it out here!

Data Scientist

Data Scientist AI AI Azure

The Prompt Optimization Stack, an Overview of LLMOps, and Using Synthetic Data for LLMs

ODSC - Open Data Science

OCTOBER 5, 2023

Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet. Discover how aspiring citizen data scientists, business analysts, data analysts, students, and data scientists can get hands-on and experiment with and work on tech development.

Azure

Azure Artificial Intelligence Artificial Intelligence Machine Learning

An open-source, low-code Python wrapper for easy usage of the Large Language Models such as…

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

Python Natural Language Processing Data Scientist Citizen Data Scientist

3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

APRIL 1, 2018

Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. 2) Line of business is taking a more active role in data projects.

Analytics

Analytics Analytics Data Preparation Augmented Analytics

How to build reusable data cleaning pipelines with scikit-learn

Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete. Good question.

Data Pipeline

Data Pipeline Exploratory Data Analysis Data Scientist Machine Learning

How to build reusable data cleaning pipelines with scikit-learn

Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete. Good question.

Data Pipeline

Data Pipeline Exploratory Data Analysis Data Scientist Machine Learning

How to build reusable data cleaning pipelines with scikit-learn

Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete. Good question.

Exploratory Data Analysis

Exploratory Data Analysis Data Pipeline Data Scientist Machine Learning

Build and evaluate machine learning models with advanced configurations using the SageMaker Canvas model leaderboard

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

Machine Learning Machine Learning Algorithm Citizen Data Scientist

Data Science Current

Data scientist

Responsible Citizen Data Science. Yes, it is Possible.

Webinars

Trending Sources

Data science

Webinars

How to establish lineage transparency for your machine learning initiatives

Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data…

Recent 10X Academy Graduates Ready to Hit the Data Science Ground Running

DataRobot Joins the AWS ISV Workload Migration Program

Predicting the Future of Data Science

Create A Stronger Cyber Workforce with AI

10 Keys to AI Success in 2021

Making AI More Accessible With LLM Alignment, Prompt Engineering Skills, and a 2-for-1 ODSC West…

The Prompt Optimization Stack, an Overview of LLMOps, and Using Synthetic Data for LLMs

An open-source, low-code Python wrapper for easy usage of the Large Language Models such as…

3 Takeaways from Gartner’s 2018 Data and Analytics Summit

How to build reusable data cleaning pipelines with scikit-learn

How to build reusable data cleaning pipelines with scikit-learn

How to build reusable data cleaning pipelines with scikit-learn

Build and evaluate machine learning models with advanced configurations using the SageMaker Canvas model leaderboard

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