Prof Dr Kamarul Imran Musa (KIM) holds a PhD (Statistics and Epidemiology) from Lancaster University. Kim is currently working as Professor (Statistics and Epidemiology) at Universiti Sains Malaysia (USM) at Kubang Kerian, Kelantan, Malaysia. KIM is a Medical and Statistical Epidemiologist and Data Science Enthusiast. In this episode, we discussed the role of an epidemiologist and the usage of data science in the field of medical and public health.
Featuring
<ul>
 <li>Prof Dr Kamarul Imran Musa - <a href="https://www.linkedin.com/in/drkamarul-imran/">LinkedIn</a></li>
 <li><a href="https://medic.usm.my/jpm/index.php/en/academic-information/587-prof-madya-dr-kamarul-imran-musa">Associate Professor Dr Kamarul Imran Musa (Medical Epidemiologist And Biostatistician) USM</a></li>
</ul>
Notes and Links
<ul>
 <li><a href="https://www.cdc.gov/careerpaths/k12teacherroadmap/epidemiology.html#:~:text=By%20definition%2C%20epidemiology%20is%20the,state%2C%20country%2C%20global).">What is Epidemiology?</a></li>
 <li><a href="https://en.wikipedia.org/wiki/Medical_statistics">What is Medical Statistics or Biostatistics?</a></li>
 <li><a href="https://globalhealth.harvard.edu/understanding-predictions-what-is-r-naught/">Understanding R naught</a></li>
 <li><a href="https://www.nature.com/articles/d41586-020-02009-w">A guide to R — the pandemic’s misunderstood metric</a></li>
 <li><a href="https://www.theedgemarkets.com/article/stethoscope-public-policy-view-bullying">Stethoscope: A public policy view of bullying</a></li>
 <li><a href="https://www.amazon.com/Thinking-Fast-Slow-Daniel-Kahneman/dp/0374533555">Daniel Kaheman: Thinking, Fast and Slow</a></li>
</ul>
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AI/ML & Data Talks Podcast Episode 12

Kuan Hoong (KH) is a Artificial Intelligence (AI)/Machine Learning (ML) &amp; Data Science practitioner living in the capital city of Malaysia, Kuala Lumpur. He is passionate, curious, and isn’t afraid to keep it real. Each episode KH talks to AI/ML &amp; Data Science Practitioners around the region and dives into relevant and interesting AI/ML topics. Each episode, you’ll get to know more about topics ranging from AI/ML adoptions to tips &amp; tricks to be a better AI/ML &amp; Data Science practitioner. Twitter: @aimldatatalks