Artificial Learning and Machine Learning - Avantika University - PowerPoint PPT Presentation

View by Category
About This Presentation
Title:

Artificial Learning and Machine Learning - Avantika University

Description:

What is Artificial Learning and Machine Learning? Want to know more? Then get in touch with us! – PowerPoint PPT presentation

Number of Views:15
Slides: 14
Provided by: avantikauniversity
Tags:

less

Write a Comment
User Comments (0)
Transcript and Presenter's Notes

Title: Artificial Learning and Machine Learning - Avantika University


1
Artificial Intelligence and Machine Learning
  • Engineering College In India Avantika University

2
Elements of Fashion Designing
  • If the experiments turn out to be well, we will
    be witnessing a completely autonomous car running
    on the road soon. Well, that's the magic of
    Artificial Intelligence. The exciting it sounds
    to be, the crazy it is while understanding!

3
  • But don't worry. As a Top Engineering Colleges in
    MP, Avantika University holds a significant
    record in breaking the complexity in a form as
    easy as ABC.

4
  • In simple terms, Artificial Intelligence (AI) can
    be defined as intelligence demonstrated by
    machines, adjacent to the natural intelligence
    exhibited by humans. In other words, it is the
    ability of a device that recognizes its
    environment and instructions to take action for
    the accomplishment of aim. "Artificial
    Intelligence" is frequently used to describe
    machines that imitate reasoning functions linked
    with the human mind like "algorithm solving "and
    "memorizing."

5
  • Founded by Dartmouth professor John McCarthy in
    1955, AI is described under two main categories
    of intelligence that are the Narrow and General
    Intelligence. Performing tasks such as analyzing
    images from X-rays and MRI scans in radiology
    comes under the first category, and having the
    human-like potential to memorize anything and
    narrating about it comes in the second category,
    respectively.

6
  • Artificial intelligence has two critical parts
    one is the engineering part, i.e., constructing
    tools that utilize intelligence. The other is the
    science of enabling a machine to introduce a
    result competing for a human brain, provided that
    the machine achieves it in a whole new way.

7
  • Talking about Machine Learning, ML is a class of
    AI. It enables a system to take decisions using
    historical data (structured and semi-structured
    data) without being explicitly programmed to
    generate detailed results based on the data. It
    termed as an application of Artificial
    Intelligence as machines have the ability to
    learn on their own without being unmistakably
    programmed.

8
  • It allows applications to adjust themselves on
    the basis of data available and enables the
    programmers to formulate the programs in a more
    uncomplicated way. Precisely, it means
    understanding and following the methods using
    specific algorithms for the performance of tasks
    without any human aid. The application of Machine
    Learning has shown progress lately as machines
    improve from their own faults.

9
  • They are much faster and accurate than people,
    preserving time. This is the reason that they are
    extensively used in capturing photos from crime
    scenes and recognizing a face to capture thieves
    or anyone. However, one must not get confused
    between Artificial Intelligence and Machine
    Learning. To explain further, let's know the
    difference between the two.

10
Artificial Intelligence Machine Learning
AI is a technology that enables a machine to reproduce human action. It is a subset of AI enabling a machine to learn from history data without programming explicitly.
Aims to make a smart system to solve complex problems. Aims to enable machines to learn from the past data to give accurate results.
Subsets are Machine learning deep learning Subset of machine learning is Deep learning.
Concerned about boost the success chances. Concerned mainly about patterns and accuracy.
11
Artificial Intelligence Machine Learning
Main applications are Siri Catboats Online game playing Humanoid robot, etc. Main applications are Online Recommendation system Google Search algorithms Auto friend tagging on Facebook, etc.
Types are Weak AI General AI Strong AI. Types are Supervised learning Unsupervised learning Reinforcement learning.
AI includes reasoning, learning, and self-correction. ML includes self-correction and learning with new data.
12
Conclusion
  • Avantika University is the MIT Institute of
    Design in Ujjain, MP. It follows a unique
    learning approach where the students are
    encouraged to think out of the box. Avantika
    University is the part of reputed MIT Pune.

13
  • THANK YOU
About PowerShow.com