Friday, March 5, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Neural Networks

What is Training Data its types and why it is important?

February 4, 2020
in Neural Networks
What is Training Data its types and why it is important?
586
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

Artificial Intelligence (AI) and Machine Learning (ML) are becoming the new tool for developers to create a more efficient and life-changing models brining an intelligence into machines to perform various tasks into business operations and household without help of humans.

And to develop the AI and ML model, a precise training data is required that help algorithms to understand the certain patterns or series of outcomes comes to a given question. And training data can consist texts, images or videos which are mainly labeled to make it recognizable to computer vision and understandable to machines.

You might also like

Labeling Case Study — Agriculture— Pigs’ Productivity, Behavior, and Welfare Image Labeling | by ByteBridge | Feb, 2021

8 concepts you must know in the field of Artificial Intelligence | by Diana Diaz Castro | Feb, 2021

The Examples and Benefits of AI in Healthcare: From accurate diagnosis to remote patient monitoring | by ITRex Group | Mar, 2021

Training data is basically a type of data used for training a new application, model or system through various methods depending on the project’s feasibility and requirements. And training data for AI or ML is slightly different, as they are labeled or annotated with certain techniques to make it recognizable to computer that helps machines to understand the objects.

The majority of training data contains the pair of input gathered from the various resources and then organized and annotated with certain techniques with accuracy.

The data could be different due to model algorithms and the field for which it is developed while ensuring the accuracy level to make sure the prediction should be accurate.

In machine learning training data is the key factor to make the machines recognize the objects or certain patterns and make the right prediction when used in real-life. Basically, there are three types of training data used in machine learning model development and each data has its own importance and role in building a ML model.

Training data is the main and most important data which helps machines to learn and make the predictions. This data set is used by machine learning engineer to develop your algorithm and more than 70% of your total data used in the project. A huge quantity of datasets are used to train the model at best level to get the best results.

This is the second type of data set used to validate the machine learning model before final delivery of project. ML model validation is important to ensure the accuracy of model prediction to develop a right application. Using this type of data helps to know whether model can correctly identify the new examples or not.

However, using the validation data also face the problem of over-fitting where AI has been wrongly trained to identify the examples that are too specific to the training data. And in such cases data scientists, often again use the training data and run through it again adjust values and hyper parameters to make the model more accurate.

This is the final and last type of data helps to check the prediction level of machine learning and AI model. Its is similar to validation data in testing the model accuracy but don’t help to improve the prediction level. It is basically used to test the model whether it will work well in real-life use and final test in the moment of truth for the model, if it works perfectly.

Here it is notable that all these three types of data are important for right ML model development. All these data sets together helps to ensure that all the examples are consistent and relevant to the answer expected from the model. But data scientist and machine learning engineers should split and organize the data into three categories randomly to avoid selection.

Its true, without training data AI or ML is not possible. The quality, relevancy and availability of your data directly affects the goals of AI model. Incomplete or inaccurate data sets will train your AI model like a illiterate human that can’t understand his environment better. Hence, choosing the right data for your model will also help you to get the accurate results. Hence, your AI deserves best data that are precisely annotated and labeled that can only help your AI model to achieve the best level of accuracy at affordable cost.

If you are looking for such high-quality data sets for your machine learning or AI model you can get in touch with Cogito which is providing machine learning training datasets in various forms as per the needs and adaptability of the project. It is involved in text, video and image annotation services to give the precisely annotated data at low-cost while ensuring the privacy and security of data till the deliver of the projects. Source

Credit: BecomingHuman By: Buzz Blog Box

Previous Post

Tesla and other autopilot-driven cars tricked with 2D projections

Next Post

New ML tool HiPlot offers interactive high-dimensional data visualization

Related Posts

Labeling Case Study — Agriculture— Pigs’ Productivity, Behavior, and Welfare Image Labeling | by ByteBridge | Feb, 2021
Neural Networks

Labeling Case Study — Agriculture— Pigs’ Productivity, Behavior, and Welfare Image Labeling | by ByteBridge | Feb, 2021

March 5, 2021
8 concepts you must know in the field of Artificial Intelligence | by Diana Diaz Castro | Feb, 2021
Neural Networks

8 concepts you must know in the field of Artificial Intelligence | by Diana Diaz Castro | Feb, 2021

March 5, 2021
The Examples and Benefits of AI in Healthcare: From accurate diagnosis to remote patient monitoring | by ITRex Group | Mar, 2021
Neural Networks

The Examples and Benefits of AI in Healthcare: From accurate diagnosis to remote patient monitoring | by ITRex Group | Mar, 2021

March 4, 2021
3 Types of Image Segmentation. If you are getting started with Machine… | by Doga Ozgon | Feb, 2021
Neural Networks

3 Types of Image Segmentation. If you are getting started with Machine… | by Doga Ozgon | Feb, 2021

March 4, 2021
The Role Of Artificial Intelligence In The Fight Against COVID | by B-cube.ai | Feb, 2021
Neural Networks

The Role Of Artificial Intelligence In The Fight Against COVID | by B-cube.ai | Feb, 2021

March 4, 2021
Next Post
New ML tool HiPlot offers interactive high-dimensional data visualization

New ML tool HiPlot offers interactive high-dimensional data visualization

Leave a Reply Cancel reply

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

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Three Finalists Selected in $4.5 Million Watson AI XPrize Competition  
Artificial Intelligence

Three Finalists Selected in $4.5 Million Watson AI XPrize Competition  

March 5, 2021
How to Boost Machine Learning in Healthcare Market Compound Annual Growth Rate (CAGR)? – KSU
Machine Learning

How to Boost Machine Learning in Healthcare Market Compound Annual Growth Rate (CAGR)? – KSU

March 5, 2021
Accellion zero-day claims a new victim in cybersecurity company Qualys
Internet Security

Accellion zero-day claims a new victim in cybersecurity company Qualys

March 5, 2021
How to Meet the Enterprise-Grade Challenge of Scaling AI 
Artificial Intelligence

How to Meet the Enterprise-Grade Challenge of Scaling AI 

March 5, 2021
Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027
Machine Learning

Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027

March 5, 2021
GAO report finds DOD’s weapons programs lack clear cybersecurity guidelines
Internet Security

GAO report finds DOD’s weapons programs lack clear cybersecurity guidelines

March 5, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • Three Finalists Selected in $4.5 Million Watson AI XPrize Competition   March 5, 2021
  • How to Boost Machine Learning in Healthcare Market Compound Annual Growth Rate (CAGR)? – KSU March 5, 2021
  • Accellion zero-day claims a new victim in cybersecurity company Qualys March 5, 2021
  • How to Meet the Enterprise-Grade Challenge of Scaling AI  March 5, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates