ABSYZ ABSYZ

  • Home

    Home

  • About us

    Who We Are

  • Our Expertise

    What we Do

  • Our Approach

    How We Do It

  • Products

    What We Made

  • Industries

    Who We Do It For

  • Clients

    Whom We Did It For.

  • Article & Blogs

    What Experts Think

  • Careers

    Join The Team

  • Get In Touch

    Let’s Get Started

ABSYZ

The in-and-out of ML

Home / Article & Blogs / Articles / The in-and-out of ML
By Team ABSYZ inArticles
The in-and-out of ML

Machine Learning (ML) is an important subset of Artificial Intelligence (AI). It deals in making computers learn to do something that they are not programmed to do, through discovering repetitions, patterns and insights in real-time data and information. ML today forms an integral component of almost every kind of software being used, whether on the web / cloud or offline. Couple of popular examples of ML in action are the stories, the posts and the people suggested to you on social media feed, as well as the dynamically evolving word suggestion system available on your smart phone, as you type into it anytime, as also every time you instruct Alexa to do something (play the music station of your choice, increase room temperature, search for your favorite recipe etc.).

ML is a continuous process of system learning and algorithmic evolution that leads computers to deliver their tasks with more accurate and precise results. At a higher level, it is the ability of computer systems and networks to adapt to new data generated in an independent, continuous and iterative manner. The ML process begins with the transfer of input training data into the chosen algorithm. Then, new data is fed into the algorithm to test whether it works correctly. Then, the prediction and the actual results are checked and compared. In case the result is not as expected, the algorithm is re-trained multiple times till the desired output is obtained. 

Coming to the types of ML, supervised learning involves the use of known input data for training the computers, resulting into monitored training and execution. Once the algorithm is formulated and tested based on known data, unknown data can then be used to elicit fresh response. In contrast, unsupervised learning involves the use of input data that is unknown – no one has looked at it before – neither the humans nor the machines. Once the unknown data is fed and starts training the machine, it looks for patterns and elicits the desired response. Next, in the reinforcement form of learning, the algorithm reads data through a process of trial and error, and then determines which action results in higher rewards. Of course, a prior framework needs to be defined to specify the nature and the form of reward.

As such, the core process of ML comprises of 2 stages – learning, and prediction. Learning involves the input of training data into the algorithm, which is then processed by the computer to learn in a supervised / unsupervised / reinforced manner, followed by error analysis – a step that ensures gradually higher precision and accuracy of the result. The actual prediction stage comprises of the interaction of the model / algorithm with the new data – which leads to the occurrence of prediction inside the machine, followed by the generation and the display of the predicted data. 

Some popular use cases of ML include, but are not limited to, self-driving cars, cyber crime detection, and online recommendation engines. Some other applications are internet search results, real-time ad display on the web pages / mobile devices, e-mail spam filter mechanism, detection of network intrusion, and image / pattern recognition. All of these applications use the technology of ML to analyze massive volumes of data and predict an output value or piece of information. As such, ML sees vast business usage in data quality and management, modelling and process flow building, interactive data analytics and visualization of results for better interpretation, inter-comparison of ML models to quickly spot the best one for application, as well as model evaluation and deployment, as also integrated end-to-end platforms for automation and streamlining of day-to-day business operations (examples of such platforms are ERPs and CRMs, including CRM-on-cloud).

In totality, machine learning makes for a great way to move from the analog way of working and living to the digital way of experiencing and delight. ML combines the wisdom of the old with the smartness of the new to dish out a recipe of technology that’s been tasted by many, and loved by one and all.

The in-and-out of ML
196
Like this post
26 Posts
Team ABSYZ

Search Posts

Archives

Categories

Recent posts

BioAsia 2023 in Hyderabad: An Annual International Event

BioAsia 2023 in Hyderabad: An Annual International Event

The Role Of Marketing in Small & Medium Enterprises

The Role Of Marketing in Small & Medium Enterprises

Salesforce For Retail: How Salesforce CRM Can Help Retailers

Salesforce For Retail: How Salesforce CRM Can Help Retailers

What is ChatGPT & How Does It Work?

What is ChatGPT & How Does It Work?

What Is Graphic Design? (Executive Summary 2023)

What Is Graphic Design? (Executive Summary 2023)

  • Future of Mobility
    Previous PostFuture of Mobility
  • Next PostThe world of AR and VR
    Future of Mobility

Related Posts

BULK API 2.0
Articles

BULK API 2.0

Dreamforce 2021 – Takeaways
Articles

Dreamforce 2021 – Takeaways

US Independence – a tribute by Zaheer Arif
Articles

US Independence – a tribute by Zaheer Arif

Significance of UI/UX Design
Articles

Significance of UI/UX Design

Leave a Reply (Cancel reply)

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

*
*

ABSYZ Logo

INDIA | USA | UAE

  • About us
  • Article & Blogs
  • Careers
  • Get In Touch
  • Our Expertise
  • Our Approach
  • Products
  • Industries
  • Clients
  • White Papers

Copyright ©2022 Absyz Inc. All Rights Reserved.

youngsoft
Copy
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “ACCEPT ALL”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent. Privacy Policy
Cookie SettingsREJECT ALLACCEPT ALL
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled

Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.

CookieDurationDescription
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Functional

Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.

Performance

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

Analytics

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.

Advertisement

Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.

Others

Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.

SAVE & ACCEPT