Download to read offline
Machine-Learning-Course-Introduction.pptx
- 1. Machine Learning Course Introduction Instructor:Dr. Shazia Saqib
- 2. Instructor Introduction Dr. ShaziaSaqib School of Informatics and Robotics, Institute for Art and Culture, Lahore Formerly at: • University of Central Punjab • Dean of Computer Science at Lahore Garrison University • GC University • Institute for Art and Culture • Institute of Costs and Management Accountants of Pakistan
- 3. Importance of Machine Learning CrucialSubject Machine Learning is a crucial subject Universal Application Applicable to all professions and fields Problem Solving Helps simplify complex problems
- 4. Course Overview Module 1 Introductionto ML, fundamental concepts, types of learning, data formatting & preprocessing. Module 2 Key ML algorithms, supervised, unsupervised, and reinforcement learning. Module 3 Convolutional Neural Networks (CNNs), dimensionality reduction, evaluation metrics. Module 4 Advanced topics – AutoML, explainability, and model deployment.
- 5. Practical Skills Development Problem-SolvingSkills Build basic practical problem-solving skills Data Insights Learn how to extract insights from data Meaningful Results Use AI to generate meaningful results from datasets
- 6. AI Revolution inthe World Industry Transformation AI is transforming industries worldwide Student Readiness Essential for students to stay up-to-date Technological Pace Keeping pace with fast-changing technology is necessary
- 7. Keeping Up withAI Advancements 1 Rapid Evolution AI is evolving rapidly 2 Updated Knowledge This course ensures students stay updated 3 Career Growth Essential for future career growth
- 8. Career Opportunities withML Machine Learning enhances career prospects across various professions, with AI knowledge now expected in multiple fields. Medical Professionals Doctors now utilize ML for diagnostics, treatment planning, and personalized medicine. Engineers Engineers implement ML solutions for automation, predictive maintenance, and optimization. Business Analysts Analysts leverage ML for market predictions, customer insights, and strategic decision-making.
- 9. Who Will Benefitfrom This Course? Aspiring AI Professionals Students looking to specialize in artificial intelligence ML Practitioners Those already working with machine learning technologies Interested Students Students with an interest in AI
- 10. Who May NotBenefit? No Programming Knowledge Those who have no programming knowledge Weak in Mathematics Those who are weak in mathematics No Technical Interest Those who have no interest in technical subjects
- 11. Prerequisites for Studying ML ProgrammingKnowledge Basic programming knowledge required Mathematical Foundation Strong mathematical foundation is essential Technical Interest Interest in technical subjects is beneficial
- 12. Course Goals Relevance inAI World Ensure students stay relevant in AI-driven world Hands-on Skills Develop hands-on skills to work with ML models Data Insight Abilities Equip students with the ability to extract insights from data
- 13. Importance of AIin Career Growth 1 Professional Integration AI is integrated into every profession 2 Career Limitations Lack of AI knowledge can limit career opportunities 3 Future Success Learning AI opens doors to future success
- 14. Supervised Learning Overview Learningfrom labeled data Examples: Classification Regression
- 15. Unsupervised Learning Overview Learningfrom unlabeled data Examples: • Clustering • Dimensionality Reduction
- 16. Reinforcement Learning Overview Learningthrough rewards and penalties Example: Self-learning AI models in games and robotics
- 17. Real-World Applications of ML Healthcare AI-assisteddiagnosis Finance Fraud detection Marketing Personalized recommendations Autonomous Systems Self-driving cars
- 18. Conclusion & FinalThoughts As we conclude this machine learning journey, here are some key reflections: Learning Journey This course has equipped you with the essential skills and knowledge to navigate the evolving AI landscape with confidence. Professional Readiness You now possess valuable tools to implement machine learning solutions in your respective fields and remain competitive in this technological era. Continuous Growth The learning doesn't end here - stay curious, practice regularly, and keep building on this foundation.