Industrial Talk “Machine Learning Made Easier”

Industrial Talk “Machine Learning Made Easier”

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The industrial talk on "Machine Learning Made Easier" by Mr Abdullah Zawawi Mohamed took place on January 5, 2024, at ZDK05, UMPSA Gambang. The event was organized by Dr. Nor Azuana Ramli, a senior lecturer in the Centre for Mathematical Sciences. The speaker, Mr. A. Zawawi Mohamed, who is the Vice President and Head of Robotics and Product Development at Sime Darby Plantation Berhad has brought a wealth of experience and expertise to the session. As a key figure in a leading industry, his insights into machine learning and its practical applications were highly anticipated. Mr. Zawawi commenced the talk by sharing his personal experiences in the field of machine learning. His journey from conventional automation to the integration of advanced machine learning techniques provided valuable context for the audience. The challenges faced and lessons learned contributed to a practical understanding of the subject.

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A significant portion of the talk was dedicated to the concept of "Teachable Machine." Mr. Zawawi delved into the applications and implications of using machine learning models that can be easily trained by individuals without an extensive background in programming or data science. The talk concluded with an engaging question and answer session, allowing the audience to seek clarification on specific topics and explore further insights. The interaction facilitated a deeper understanding of the practical challenges and opportunities associated with implementing machine learning solutions in an industrial setting.
 
This talk provided a valuable bridge between theoretical knowledge and real-world applications. The audience, comprising students, faculty, and industry professionals, gained insights into the evolving landscape of machine learning in industries, with a particular emphasis on its practical aspects. The event successfully fulfilled its objective of fostering knowledge exchange and encouraging dialogue on the future of machine learning in industrial settings.
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