
Intelligent assistants like Alexa and Siri, image searches that found the topic of a photo, and self-driving cars – these intelligent systems used machine learning to develop their expertise. In this module, I learned about various machine learning techniques but concentrated on deep neural learning. I learned about the underlying theory and got hands-on experience creating, training, evaluating, and using machine learning systems. I also examined how these technologies were used and misused and what that meant for our societies and communities.
Learning Outcomes
- Revised and extended knowledge in algebra and graphs, identifying and filling gaps in understanding.
- Understood and applied concepts of functions, trigonometry, vectors, calculus, matrices, sequences, and complex numbers in mathematical problems.
- Utilized mathematical software for problem-solving and modeled real-world situations.
- Developed skills in communicating mathematical concepts and solutions.
- Engaged with online and printed materials for a comprehensive learning experience, supported by interactive practice questions.
Feedback on my assingments
The feedback highlights a commendable grasp of mathematical concepts and an excellent performance in most areas. It also outlines specific areas needing improvement, including mathematical communication, comprehension of vectors and calculus, and the presentation of mathematical data through typesetting.
Reflections
The feedback underlines the importance of not just understanding mathematical concepts but also effectively communicating and presenting these ideas. Improving in the identified areas will not only enhance assignment scores but also prepare you for more advanced mathematical studies and professional applications.
Professional Skills Matrix learnt and Action Plan
Skills Gained or Enhanced:
- Mathematical Understanding: Demonstrated high competency in essential mathematics concepts with areas for further growth in vectors and calculus.
- Communication: Identified as an area for improvement, particularly in clearly explaining calculations and conclusions.
- Presentation: Need to enhance typesetting skills for accurate and clear presentation of mathematical expressions.
Action Plan:
- Enhance Mathematical Communication: Practice writing detailed step-by-step solutions for problems, incorporating annotations to explain each step.
- Deepen Understanding of Vectors and Calculus: Dedicate specific study sessions to practicing vector problems and calculus methods, including product, chain, and quotient rules.
- Improve Typesetting Skills: Explore tutorials on using Microsoft Word's equation editor or LaTeX for typing mathematical expressions, focusing on sequences, matrices, and recurrence relations.
- Leverage Tutor Support and Resources: Participate in tutorials, especially those offering practical activities covering topics like vectors and calculus.
- Utilize Quizzes for Learning Consolidation: Engage with module quizzes not just for marks but as a tool for consolidating understanding. Tackle quizzes weekly, aligned with study topics.