Kickr Technology offers cutting-edge AI Technology Solutions for Business, empowering companies with automation, predictive analytics, and intelligent decision-making. Our expertise in AI-Driven Application Development helps businesses build smart applications that enhance efficiency, customer exper...
Kickr Technology offers cutting-edge AI Technology Solutions for Business, empowering companies with automation, predictive analytics, and intelligent decision-making. Our expertise in AI-Driven Application Development helps businesses build smart applications that enhance efficiency, customer experience, and innovation. Leverage AI to transform your business with our advanced and customized AI solutions.
Contact us today for getting Best AI development services in Noida, visit us at https://kickrtechnology.com/ai/
Size: 39.65 MB
Language: en
Added: Mar 06, 2025
Slides: 11 pages
Slide Content
AI vs ML vs Deep
Learning
Unraveling the Intelligent
Hierarchy
Presented By KICKR TECHNOLOGY
Introduction
What is Artificial Intelligence (AI)?
AI enables machines to mimic human intelligence
01
02
It includes problem-solving, decision-making & automation
Where ML & Deep Learning Fit In?
Machine Learning (ML): AI subset that learns from data
01
02
Deep Learning (DL): Advanced ML using neural networks
AI, ML, and Deep Learning
Hierarchy
AI → ML → Deep Learning (Pyramid Diagram)
AI is the broadest field, ML is a subset, DL is
a specialized part of ML
Artificial Intelligence (AI)
Chatbots, Virtual Assistants (Siri, Alexa), Self-driving cars
Types of AI:
Narrow AI – Task-specific (e.g., Recommendation systems)1.
General AI – Human-like intelligence (Still in research)2.
AI enables machines to perform human-like tasks
Machine Learning (ML)
ML is an AI subset that allows machines
to learn from data
How It Works? Algorithms improve performance over time
Examples: Fraud detection, Personalized recommendations
(Netflix, Amazon)
Types of ML:
Supervised Learning – Labeled data (e.g., Spam detection)1.
Unsupervised Learning – Finds patterns (e.g., Customer
segmentation)
2.
Reinforcement Learning – Learns from rewards (e.g.,
Robotics, AlphaGo)
3.
Deep Learning (DL)
A specialized ML technique using neural
networks
How It Works? Inspired by the human brain, processes large data
sets
Examples: Voice recognition (Siri), Image processing (Face ID), AI art
Why Deep Learning?
?????? Handles large, complex data
?????? Excels in tasks like speech, vision, and language processing
Future of AI, ML &
Deep Learning
AI-powered automation & robotics
More personalized AI experiences
Advanced neural networks & AGI research
Trends to Watch:
Conclusion
Shaping Tomorrow Together
ML is a subset → Deep Learning is the most advanced
form
Are you ready for the revolution?
AI is the umbrella
AI is shaping the future
Contact Us
?????? Stay connected with us for more innovations! [email protected]
www.kickrtechnologies.com
Thank You
Thank you for exploring AI, ML, and Deep
Learning with Kickr Technology! We are
committed to providing cutting-edge
solutions in AI and software development.
Presented By KICKR TECHNOLOGY