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Machine Learning
12/17/2023
Agenda
• Introduction to Machine Learning
• Types of Machine Learning
• Applications of Machine Learning
• Machine Learning Algorithms
• Challenges in Machine Learning
• Photo by energepic.com
https://www.pexels.com/@energepic-
com-27411
Introduction to
Machine Learning
• Definition of Machine
Learning
• History of Machine
Learning
• Importance in Today's
World
• Impact on Industries
• Photo by Yan Krukau
https://www.pexels.com/@
yankrukov
Types of Machine
Learning
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• Semi-supervised Learning
• Photo by Vanessa Loring
https://www.pexels.com/@vanessa-loring
Applications of Machine
Learning
• Healthcare
• Finance
• E-commerce
• Transportation
• Manufacturing
• Photo by Julio Lopez
https://www.pexels.com/@julio-lopez-75309646
Machine Learning
Algorithms
• Linear Regression
• Decision Trees
• Support Vector Machines
• Neural Networks
• Clustering Algorithms
• Photo by Tima
Miroshnichenko
https://www.pexels.com/@t
ima-miroshnichenko
Challenges in
Machine Learning
• Data Quality
• Lack of Transparency
• Bias and Fairness
• Security and Privacy Concerns
• Photo by Kindel Media
https://www.pexels.com/@kindelmed
ia
Ethical
Considerations
• Data Privacy
• Biased Algorithms
• Automation Impact
• Human Accountability
• Photo by SHVETS production
https://www.pexels.com/@shv
ets-production
Future of
Machine
Learning
• Advancements in Deep Learning
• Personalized AI
• Machine Learning in IoT
• AI-driven Creativity
• Photo by Vanessa Loring
https://www.pexels.com/@vaness
a-loring
Conclusion
• Key Takeaways
• Continuous Learning
• Impact on Society
• Encouraging Innovation
• Photo by mdzi
https://www.pexels.com/@mdzi-
823741307

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Machine Learning.pptx xnbfdbfxvbdbfdbfnbvnbvfm

  • 2. Agenda • Introduction to Machine Learning • Types of Machine Learning • Applications of Machine Learning • Machine Learning Algorithms • Challenges in Machine Learning • Photo by energepic.com https://www.pexels.com/@energepic- com-27411
  • 3. Introduction to Machine Learning • Definition of Machine Learning • History of Machine Learning • Importance in Today's World • Impact on Industries • Photo by Yan Krukau https://www.pexels.com/@ yankrukov
  • 4. Types of Machine Learning • Supervised Learning • Unsupervised Learning • Reinforcement Learning • Semi-supervised Learning • Photo by Vanessa Loring https://www.pexels.com/@vanessa-loring
  • 5. Applications of Machine Learning • Healthcare • Finance • E-commerce • Transportation • Manufacturing • Photo by Julio Lopez https://www.pexels.com/@julio-lopez-75309646
  • 6. Machine Learning Algorithms • Linear Regression • Decision Trees • Support Vector Machines • Neural Networks • Clustering Algorithms • Photo by Tima Miroshnichenko https://www.pexels.com/@t ima-miroshnichenko
  • 7. Challenges in Machine Learning • Data Quality • Lack of Transparency • Bias and Fairness • Security and Privacy Concerns • Photo by Kindel Media https://www.pexels.com/@kindelmed ia
  • 8. Ethical Considerations • Data Privacy • Biased Algorithms • Automation Impact • Human Accountability • Photo by SHVETS production https://www.pexels.com/@shv ets-production
  • 9. Future of Machine Learning • Advancements in Deep Learning • Personalized AI • Machine Learning in IoT • AI-driven Creativity • Photo by Vanessa Loring https://www.pexels.com/@vaness a-loring
  • 10. Conclusion • Key Takeaways • Continuous Learning • Impact on Society • Encouraging Innovation • Photo by mdzi https://www.pexels.com/@mdzi- 823741307