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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
Real-World
Applications
AI: Virtual Assistants, Smart Devices, Automation
ML: Fraud Detection, Predictive Analytics, Search Engines
Deep Learning: Medical Diagnosis, Image Recognition, Self-driving Cars
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!
info@kickrtechnologies.com
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

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Best AI Development Services with Combining AI, ML, & Deep Learning!

  • 1. AI vs ML vs Deep Learning Unraveling the Intelligent Hierarchy Presented By KICKR TECHNOLOGY
  • 2. 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
  • 3. 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
  • 4. 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
  • 5. 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.
  • 6. 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
  • 7. Real-World Applications AI: Virtual Assistants, Smart Devices, Automation ML: Fraud Detection, Predictive Analytics, Search Engines Deep Learning: Medical Diagnosis, Image Recognition, Self-driving Cars
  • 8. Future of AI, ML & Deep Learning AI-powered automation & robotics More personalized AI experiences Advanced neural networks & AGI research Trends to Watch:
  • 9. 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
  • 10. Contact Us 🚀Stay connected with us for more innovations! info@kickrtechnologies.com www.kickrtechnologies.com
  • 11. 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