Machine Learning

Self-sufficient Digital Systems Giving Way to an Automated Future

Every business now generates a huge amount of data. Big Data helps to process massive chunks of data in a single time. The juxtaposition of Machine Learning and Big Data has made businesses capable of taking Data Driven Decisions (DDD).

Businesses worldwide have widely been looking up to Machine Learning (ML) for making smarter decisions. Machine Learning, along with Artificial Intelligence (AI), has led to the emergence of self –sufficient digital systems that can act like human beings but perform beyond human capabilities. Machine Learning can solve critical and complicated problems in a jiffy using techniques like

  • Problem-solving
  • Speed recognition
  • Language processing
  • Face recognition, etc.

Why Should Businesses Employ Machine Learning

Accuracy

Human beings have a ‘conscious’ and a ‘subconscious’ mind. Human beings perform any activity with the ‘conscious mind’. However, the ‘subconscious’ mind hinders human beings to perform any activity with 100% concentration. Thus, human beings are prone to making errors. Since machines do not have any hindrance from the ‘subconsious, with Machine Learning, work efficiency and accuracy is highly assured.

Reliability

Since machines deliver tasks with 100% accuracy, the outcomes from machines are more reliable than the outputs from human operations. Thus, Machine Learning can help businesses achieve highly productive outcomes with optimized operational costs.

Minimum Intervention

Machine Learning has given opportunities to build machines that can adapt to the environmental changes, train themselves and flawlessly deliver tasks, without human intervention.

Speech Recognition

This NOSQL database that uses BSON format is a user-friendly DBMS with a number of cool features

  • Machine Learning enables speech recognition using Natural Language Understanding (NLU).
  • Users can interact with devices/phones in their own voice.
  • Through Machine Learning and deep learning neural network, we can build speech recognition modules for different applications.
  • Using open source libraries in voice recognition, we can build a powerful application for users to make business more interactive and reachable.

Image Recognition

  • Machine Learning has led to the development of applications that recognize images with perfection.
  • ML helps in flawless disease detection from scanned images generated by medical devices like X-ray
  • ML helps in error-free object detection at the supermarket billing counters

NLP: Natural Language Processing

  • Machine Language enables computers to automatically recognize natural human languages with NLP mechanism and process huge data

    • NLG: Natural Language Generator

    • The future media will employ Machine Learning for Natural Language Generation (NLG).
    • Through NLG, the system will be capable of creating automated online contents by recognizing language based on the given data. This is called Robo-journalism

    Virtual Agent

    • A virtual agent is a human-like machine with emotions and expressions.
    • The virtual agent uses NLU, speech recognition and NLG
    • Results are highly reliable and accurate

    Our Overview

    We incorporate Machine Learning in the following areas:

    • Amazon machine learning platform; we have proven record in predicting sales cancellation 87% correctly. Additionally, we could predict the possibility of the time period before a customer cancelled anything.
    • Regression methodologies
    • Training a machine with historical data
    • Creating models with regular expression
    • Binary methods
    • Integration of Amazon ML API to automate the machine training process

    Additionally, we are working on deep learning modules like TensorFlow for language transfer and mathematical calculations

    2009 - 2023 Appsbee. All Rights Reserved.