Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: A Guide To Machine Learning Foundations Of Task Management Software
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Exclusive > A Guide To Machine Learning Foundations Of Task Management Software
ExclusiveMachine LearningSoftware

A Guide To Machine Learning Foundations Of Task Management Software

Ryan Kh
Ryan Kh
6 Min Read
task management software
Shutterstock Licensed Photo - By NicoElNino
SHARE

Task management applications are changing the way we manage teams. Here are some of the primary benefits of these task management applications:

Contents
Appreciating the Machine Learning Technology Behind Modern Task Management SoftwareMachine Learning Methodologies that Task Management Platforms Can UseSupervised LearningFinal Thoughts
  • Task management tools improve team productivity
  • Task management tools make sure that teams operate more efficiently
  • Task management tools minimize worker stress
  • Task management tools help with monitoring trends

Machine learning is playing a very important role in improving the functionality of task management applications. In January, Towards Data Science published an article on this very topic.

?In the data-driven future of project management, project managers will be augmented by artificial intelligence that can highlight project risks, determine the optimal allocation of resources and automate project management tasks…Only a few years ago, it would have required a huge corpus of text and a significant amount of compute power to train a custom project management language model. However, recent advances in applying transfer learning to NLP allows us to train a custom language model in a matter of minutes on a modest GPU, using relatively small datasets,? writes author Euan Wielewski.

Project managers should be aware of the changes that machine learning has brought to task management applications. They will be able to take better advantage of the functionality if they have a deeper understanding of the data science behind it.

More Read

role of AI and computer-aided design
The Fascinating Role of AI in the Evolution of Computer-Aided Designs
Data Analytics is a Huge Boon for Alzheimer’s Disease Research
Harnessing the Power of Big Data, Machine Learning, & Predictive Analytics
The Role of Predictive Analytics in Forecasting using Business Intelligence
4 Wonderful Ways to Use Big Data in Local SEO Marketing

Appreciating the Machine Learning Technology Behind Modern Task Management Software

For centuries before the existence of computers, humans have imagined intelligent machines that were capable of making decisions autonomously. At the early era of Artificial Intelligence, programmers tried to teach machines from the definition of logical rules that the machine itself could extend during the execution of the program. However, the complexity of programming rules with a large number of combinations of input data or extremely complex situations made it extremely difficult to advance this technology.

Machine Learning, on the other hand, is a branch of artificial intelligence whose objective is to develop techniques that allow computers to generalize behaviors and detect patterns from data received. The main idea is to teach computers what a person does in a natural way. To accomplish this task, they try that computers learn to make decisions without the need to have been expressly programmed, that is to say, that they learn from experience.

Task management tools are intended to replicate the behavior of human users. This makes it easier for them to optimize their functionality for the end user. Arthur Samuel defined it as a field of study that gives computers the ability to learn without the need to be explicitly programmed. Deputy is one of the task management software applications that relies on machine learning, as they cite multiple times on their website.

Machine Learning Methodologies that Task Management Platforms Can Use

Although there are many types of learning, Michalski defined the two most common types of learning:

  • Supervised Learning
  • Unsupervised Learning

Both of these types of learning are used by machine learning algorithms in modern task management applications. Since supervised learning is the basis for many task management applications, we will emphasize it for the purpose of this article. We can cover another article that focuses on unsupervised learning in these applications in the future. Here is an overview of the supervised learning algorithms that are frequently employed by task management tools.

Supervised Learning

Supervised learning relies on a data set with known results (training set). This data set establishes a pattern that can make predictions, In other words, based on the examples of the training set in which each example is labeled with the corresponding answer, the data scientist parameterizes an algorithm that finds the patterns that determine the result based on the entries. In this way, once the algorithm is correctly parameterized, for new entries a class or result can be assigned automatically.

Finally, in order to validate the model, a different set of test data is used other than the training set for which the results are also known. In this way, the degree of “success” of the algorithm can be known. This degree of success is measured in the form of accuracy and sensitivity.

To teach the computer, the most commonly used algorithms are:

  • Decision Trees
  • Naïve Bayes classification.
  • Regression by least squares.
  • Logistic Regression.
  • Support Vector Machines (SVM).
  • Methods “Ensemble” (Sets of classifiers).

For example, emails that are received are classified as spam or not. A growing number of task management tools are using a combination of these algorithms to offer the best functionality for their users.

Final Thoughts

These are all important things to consider as you discover the machine learning foundations of task management software. Happy learning!

TAGGED:machine learningtask managementtask management software
Share This Article
Facebook Pinterest LinkedIn
Share
ByRyan Kh
Follow:
Ryan Kh is an experienced blogger, digital content & social marketer. Founder of Catalyst For Business and contributor to search giants like Yahoo Finance, MSN. He is passionate about covering topics like big data, business intelligence, startups & entrepreneurship. Email: ryankh14@icloud.com

Follow us on Facebook

Latest News

sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing
AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

data quality and quantity in artificial intelligence
Artificial IntelligenceBig DataData QualityExclusiveMachine Learning

What To Know About The Impact of Data Quality and Quantity In AI

8 Min Read
AI and machine learning in fintech
Artificial IntelligenceExclusiveFintechMachine Learning

Customers and Banks Priorities Collide as AI Jolts Financial Industry

8 Min Read
Image
Big DataLocation

Why Machine Learning Matters When Choosing a Big Data Vendor

6 Min Read
machine learning books
ExclusiveMachine Learning

Top Machine Learning Books And Videos For Beginners And Professionals

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?