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Understanding Machine Learning in Details

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Regarded as a subset of artificial intelligence, machine learning (ML) is a study and development of computer algorithms that improvise over a period of time through its own experience. – PowerPoint PPT presentation

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Title: Understanding Machine Learning in Details


1
Grow Your Business With Machine Learning
2
What is Machine Learning (ML)?
  • Regarded as a subset of artificial intelligence,
    machine learning (ML) is a study and development
    of computer algorithms that improvise over a
    period of time through its own experience.
  • ML makes use of computational statistics and data
    mining for exploratory data analysis through
    unsupervised machine learning.
  • ML is also widely recognized as predictive
    analysis due to its functionality.
  • The basic of machine learning ML is a method of
    helping computerized systems to predict actions
    or responses based on the data fed and deliver an
    output which holds identity with human
    interaction.
  • ML is driving technology in reducing human
    intervention in many monotonous tasks.

3
Approaches for Machine Learning
  • There are 3 standard categories that ML is
    divided into based on the systems feedback.
  • Supervised machine learning algorithms
  • The system is exposed to a large amount of
    labeled data with examples that help it to learn
    and devise the output.
  • unsupervised machine learning algorithms
  • The system is present with uncategorized
    non-labeled data and it is left on its own to
    identify the structure/similarities, and pattern
    in the input.
  • Reinforcement learning algorithms
  • In this method, the system is exposed to the
    environment and it produces outputs. In the
    course of this, it learns by discovering errors
    and availing rewards.

4
Machine Learning Models
  • Machine learning problems are solved by adopting
    certain models for the learning process. They
    help a lot in intelligence AI development and
    deep learning.
  • Artificial neural networks
  • Decision trees
  • Regression analysis
  • Bayesian networks
  • Training models
  • Support vector machines

5
Why Machine Learning?
  • ML has been existent for many years now. But, the
    resurgence is due to the added advantage of other
    technologies. Currently, ML is used to widely
    explore the areas of
  • Speech and natural language processing
  • Images, Video, and text recognition
  • Employing graphics processing units (GPUs) to
    create clusters of ML
  • Improvise the cloud solutions domain
  • eCommerce for Customer Engagement

6
What Narola Infotech Offers?
  • Narola Infotech has been thriving in the IT
    industry for a really long time. We have been
    equally active in the domain of Automation and
    Machine learning.
  • We have a team of experts that have adept
    knowledge and working experience that can
    smoothly sail through any machine learning
    application projects for you.
  • We also promise to offer you 247 support.

7
Contact us
  • To attain success in your next machine learning
    project, join hands with the specialist team at
    Narola Infotech.
  • Email info_at_narola.emailContact number 1 (650)
    209-8400
  • Website https//www.narolainfotech.com/machine-le
    arning-company

8
Thank You
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