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Symbolic Connection

Thu Ya Kyaw & Koo Ping Shung

Symbolic Connection

A weekly Technology podcast
Good podcast? Give it some love!
Symbolic Connection

Thu Ya Kyaw & Koo Ping Shung

Symbolic Connection

Episodes
Symbolic Connection

Thu Ya Kyaw & Koo Ping Shung

Symbolic Connection

A weekly Technology podcast
Good podcast? Give it some love!
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Episodes of Symbolic Connection

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We are back! For this episode, we discussed topics about generative AI. We actually used Google's Bard to generate the outline for this episode. It covers topics: What is generative AI? How does it work? What are some of the benefits of generat
It has been a while since we released an episode on this channel. Apologies, we were both busy with work and couldn't find a common dedicated time to record an episode. We also changed the intro and outro music. Let us know what you think?In t
This week, we invited Kelvin Tham, an MLOps Data Program Manager at ViSenze - AI for Visual Commerce. Kelvin has a wide range experience across ML Ops, data analytics, and business process improvement. He is currently working on design, develop
This week, we invited Teck Liang Tan (PhD), a Senior Data Scientist @ NTUC Enterprise to have chat with us. He walked us through his unconventional career move from Physics to Data Science. Also, his reason of getting into the industry instead
This week we invited Ivan who is a Lead Data Scientist at Tech in Asia. Ivan has a unique set of technical competencies, project management, interpersonal skills and problem solving abilities. He is also experienced in deploying scalable machin
Data collection is a crucial step for any data related projects. So much so that you might have encountered something along the lines of the “GIGO” (garbage in, garbage out) concept. Some might even say having the right data is more important t
For this episode, we invited Low Yi Xiang, a Data Scientist at Traveloka again to have a chat about Data Product Management. Yi Xiang covered what is data product management in a nutshell, how it differs from the other product management practi
In this episode, we invited one of our popular guests, Charin Polpanumas, back! We got him to share a project that he is passionate about, PyThaiNLP. In this episode, we discuss the challenges of Natural Language Processing and also creating an
So what is MLOps? This is a topic we covered in this episode. We discuss the different aspects of MLOps, for instance, data, business requirements, and also measuring the performance metrics. We discuss also data quality and feature engineering
In this episode, we have another guest - Amelia, a chemical engineer turned data scientist! Listen to the episode to understand more about her successful transition, what are the skills that she finds valuable as a data scientist, and how did s
Symbolic Connection takes a break from interviewing guests and has two non-experts, the co-hosts Thu Ya and Koo to share what they understand about a privacy-preserving model training technique called Federated Learning. We have a discussion on
In this episode, we interviewed another lady in tech, Poh Wan Ting. She shared her career journey, how she started from computational biology to now leading a data science and engineering team in a well-known Financial Institution. She also sha
We have a guest from the banking industry for this episode, Jeanne, from the Bank of Singapore. She shared her journey, how she moved from studying animals to being an AI lead in the banking industry. We discussed how to encourage more females
In this episode, we have another guest from AI Singapore. He is Ryzal Kamis, Senior Platform Engineer. In this episode, we discuss a great deal on MLOps, what it is, and for anyone who is interested in the MLOps area, what are the learning reso
In this episode, we take a break and talk about documentation, something that is a "necessary evil" for any software engineer and data professional. Thu Ya and Koo, tackle the documentation topic by sharing their experience, their pains, and fr
This week we invited Michael Ng from Agilent Technologies to share his background and career journey. :)What got him interested in the field? What are the key skills in dealing with business stakeholders? What are the questions he asked his in
Happy New Year everyone! We are back with an episode that may help planning your Data Science & Artificial Intelligence career! In this episode, you will find career tips to build a solid foundation in your Data Science career. Thu Ya & Koo dis
For this episode, instead of having a guest over, Koo interviewed his co-host, Thu Ya Kyaw, Machine Learning Engineer @NE Digital to share his programming journey including the motivations, the opportunities, and the struggles. Oh, did you know
This episode's guest is Low Yi Xiang, a data scientist at Traveloka. He is also a member of the DataScience SG Working Committee.He showed his unique perspectives on his career and data science and how he got started. Yi Xiang shared his journ
In this episode, Chong Zi Liang continues to share what steps he took to land his current role after the boot camp. He also discussed his current job scope, the tools he is using and what is he learning from his job. Hear what interview tips Zi
In this episode, we are very happy to invite Chong Zi Liang, a data analyst at 99.co, to share his career journey, particularly on his transition from a non-data, non-STEM background. There is a lot of content to share again so this podcast ha
We continue our Data Myths busting in this second episode given the raving reviews and feedback from the audience. Yes, we are back with myth-busting! Here are the myths we discussed.1 - "If the mathematics is not complicated/complex, it is n
In this episode, we continue our conversation with Chris Leong. We mostly discuss what is the difference between software engineering and machine learning. Chris also shared more on the projects he worked on during AI Singapore days. And last b
If you like Machine Learning and Gaming, this episode is really for you. We invited Chris Leong to join us in this episode, where Chris shared how as a software engineer, he managed to include machine learning into his capabilities. We had a su
Ever wonder what does a data scientist in an academic institution does? Wonder no more, we invited Ang Shen Ting, Data Scientist @ INSEAD to share his working experience. In this episode, he will be sharing his different experiences, working i
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