Dataconomy
  • News
  • AI
  • Big Data
  • Machine Learning
  • Trends
    • Blockchain
    • Cybersecurity
    • FinTech
    • Gaming
    • Internet of Things
    • Startups
    • Whitepapers
  • Industry
    • Energy & Environment
    • Finance
    • Healthcare
    • Industrial Goods & Services
    • Marketing & Sales
    • Retail & Consumer
    • Technology & IT
    • Transportation & Logistics
  • Events
  • About
    • About Us
    • Contact
    • Imprint
    • Legal & Privacy
    • Newsletter
    • Partner With Us
    • Writers wanted
Subscribe
No Result
View All Result
Dataconomy
  • News
  • AI
  • Big Data
  • Machine Learning
  • Trends
    • Blockchain
    • Cybersecurity
    • FinTech
    • Gaming
    • Internet of Things
    • Startups
    • Whitepapers
  • Industry
    • Energy & Environment
    • Finance
    • Healthcare
    • Industrial Goods & Services
    • Marketing & Sales
    • Retail & Consumer
    • Technology & IT
    • Transportation & Logistics
  • Events
  • About
    • About Us
    • Contact
    • Imprint
    • Legal & Privacy
    • Newsletter
    • Partner With Us
    • Writers wanted
Subscribe
No Result
View All Result
Dataconomy
No Result
View All Result

Data acquisition in 6 easy steps

by Evgeniya Panova
May 13, 2020
in Artificial Intelligence, BI & Analytics, Big Data, Data Science, Education
Home Topics Data Science Artificial Intelligence
Share on FacebookShare on TwitterShare on LinkedInShare on WhatsAppShare on e-mail

Data scientists are constantly challenged with improving their ML models. But when a new algorithm won’t improve your AUC there’s only one place to look: DATA. This guide walks you through six easy steps for data acquisition, a complete checklist for data provider due diligence, and data provider tests to uplift your model’s accuracy. 

Editor’s note: This free guide walks you through six easy steps for data acquisition, a complete checklist for data provider due diligence, and data provider tests to uplift your model’s accuracy.

When trying to improve a model’s accuracy and performance data improvement (generating, testing, and integrating new features from various internal and/or external sources) is time-consuming, difficult, but it could be a major discovery and move the needle much more.

The process of data acquisition can be broken down into six steps:

Hypothesizing – use your domain knowledge, creativity, and familiarity with the problem to try and scope the types of data that could be relevant to your model.


Join the Partisia Blockchain Hackathon, design the future, gain new skills, and win!


Generating a list of potential data providers – create a shortlist of sources (data partners, open data websites, commercial entities) that actually provide the type of data you hypothesized would be relevant.

Data provider due diligence – an absolute must. The list of parameters below will help you disqualify irrelevant data providers before you even get into the time-consuming and labor-intensive process of checking the actual data.

Data provider tests – set up a test with each provider that will allow you to measure the data in an objective way.

Calculate ROI – once you have a quantified number for the model’s improvement, ROI can be calculated very easily.

Integration and production – The last step in acquiring a new data source for your model is to actually integrate the data provider into your production pipeline.

Get the full guide for free here.

Data acquisition in 6 easy steps
Tags: data acquisitionMachine LearningWhitepaper

Related Posts

What is Google Bard AI? Learn how to use Google Bard AI. Google Bard AI vs ChatGPT: Which one is better? Keep reading and find out.

Google unveils its experimental conversational AI service Bard

February 7, 2023
AI Asmongold video: In the Athene AI Show, a Twitch streamer's funny deepfake revealed and people love it. So how did this happen? Keep reading and find out.

AI Asmongold may have been one of the very first examples of AI streamers

February 6, 2023
Google starts testing its ChatGPT rival AI chatbot called Apprentice Bard

Google starts testing its ChatGPT rival AI chatbot called Apprentice Bard

February 7, 2023
Artificial intelligence in education: Examples

How AI improves education with personalized learning at scale and other new capabilities

February 3, 2023
What is ChatGPT Plus, and how to get it? Learn its features, price, and how to join ChatGPT Plus waitlist. Is it worth it? Keep reading and find out

ChatGPT Plus: How does the paid version work?

February 2, 2023
AI Text Classifier: OpenAI's ChatGPT detector can distinguishes AI-generated text

AI Text Classifier: OpenAI’s ChatGPT detector indicates AI-generated text

February 2, 2023

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

LATEST ARTICLES

Google unveils its experimental conversational AI service Bard

Achieving data resilience with StaaS

AI Asmongold may have been one of the very first examples of AI streamers

Mastering the art of efficiency through business process transformation

Google starts testing its ChatGPT rival AI chatbot called Apprentice Bard

How AI improves education with personalized learning at scale and other new capabilities

Dataconomy

COPYRIGHT © DATACONOMY MEDIA GMBH, ALL RIGHTS RESERVED.

  • About
  • Imprint
  • Contact
  • Legal & Privacy
  • Partnership
  • Writers wanted

Follow Us

  • News
  • AI
  • Big Data
  • Machine Learning
  • Trends
    • Blockchain
    • Cybersecurity
    • FinTech
    • Gaming
    • Internet of Things
    • Startups
    • Whitepapers
  • Industry
    • Energy & Environment
    • Finance
    • Healthcare
    • Industrial Goods & Services
    • Marketing & Sales
    • Retail & Consumer
    • Technology & IT
    • Transportation & Logistics
  • Events
  • About
    • About Us
    • Contact
    • Imprint
    • Legal & Privacy
    • Newsletter
    • Partner With Us
    • Writers wanted
No Result
View All Result
Subscribe

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy Policy.