AI/ML & Data Talks Podcast AI/ML Data Talks

Jason Mayes is a Developer Advocate/Web Engineer/Creative Technologist @ Google, aiming to inspire, innovate, and simplify. Jason’s background is based in Computer Science. He discovered that he fits into a rare breed of what he likes to call as “hybrid developers” while others may call this a "design technologist" - in short, Jason equally enjoys being both creative + technical. In a nutshell, Web/mobile technologies allow Jason to combine both sides of his personality.

Featuring


Jason Mayes - LinkedIn


Jason Mayes - Twitter/X



Notes and Links


Tensorflow.js - ML library in JavaScript


Made with tensorflow.js project highlights


MediaPipe Studio


Machine Learning for Web Devs & Creatives (Web ML) - Next gen web apps with TensorFlow.js
Visual blocks for ML


Project IDX



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Sachin Kumar is the founding member and CTO at TupeloLife which is a  RPM and Virtual Care Management company that has been in the connected health space since 2012. Besides that, Sachin is also a Google Developer Expert (GDE) in Machine Learning, Google for Startups Accelerator Mentor and Head of GDG (Google Developers Group) Doha as well as a YouTuber focusing on tech related contents. In this episode, Sachin shared about his career path and current works related to healthcare.



Featuring


Sachin Kumar - LinkedIn



Notes and Links


TupeloLife


Google Developer Experts


Dialogflow


What is a Chatbot?


Large Language Model - PaLM 2





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Dr. Vinod Ramachandran is Head of Climate Risk Modelling & Credit Risk Innovation at CIMB. He also serves as Principal Data Scientist for the group's risk management function, where he supports the wider Regional Advanced Risk Modelling team. Prior to joining CIMB Vinod was an academic working with local SMEs as a consulting data scientist. In this episode, Vinod shared about his career path and current works related to Climate Risk Modelling and Credit Risk.

Featuring


Dr. Vinod Ramachandran - LinkedIn



Notes and Links


Climate risk modeling


Credit risk modelling


Share of unbanked population worldwide 2017, by country



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Yudhiesh Ravindranath is currently working as MLOps Engineer at MoneyLion where he focuses on developing and implementing end-to-end machine learning (ML) systems. Besides that he also works closely with data scientists and software engineers to ensure that ML models are integrated into production systems and are performing optimally. In this episode, Yudhiesh shared about his current works, side projects and what it takes to be a MLOps Engineer.



Featuring


Yudhiesh Ravindranath - LinkedIn


Yudhiesh Ravindranath - GitHub


Yudhiesh Ravindranath - Medium





Notes and Links


Asia Pacific University of Technology & Innovation (APU)


Omdena


MoneyLion


Continuous integration/continuous delivery (CI/CD)


Data Pipelines with Apache Airflow 


Effective Data Science Infrastructure


MetaFlow


Arize: ML Observability Platform


Continuous Testing of Machine Learning Projects (GitHub)





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Hafidz Zulkifli is currently leading the Centre of Data Experience’s (CDX) data team at Bank Islam where he defined the team charter, responsibilities and rituals. In terms of responsibilities, Hafidz leads the team from both managerial (ie. stakeholder, task, resource management) and technical perspective (ie. data modelling, systems architecture, tooling, code etc). Besides Data Science, Hafidz is a blogger where he blogs about his passionate side projects in the areas related to Natural Language Processing (NLP), AI and Data Science.  In this episode, Hafidz shared about his current works, side projects and what it takes to lead a data science team.

Featuring


Hafidz Zulkifli - LinkedIn
Hafidz Zulkifli - Medium

Notes and Links


Universiti Tenaga Nasional 
Galatica 
What is a Generative Model?
GPT-3 Transformer
Dall-E 2
Imagen
MidJourney
Search Engine Optimization (SEO)
Prompt Engineering
Practical Deep Learning for Coders  - Fast.ai

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Dickson Neoh is currently working as Developer Advocate at ZenML, a startup that focuses on providing extensible, open-source MLOps framework to create production-ready machine learning pipelines. Prior to joining ZenML, Dickson was working as an academician at UNITEN, a private university in Malaysia. Besides doing research, Dickson is passionate in areas such as Computer Vision, Artificial Intelligence and Machine Learning. In this episode, Dickson shared about his current works in MLOps and how the MLOps framework is being used to alleviate problems related to Machine Learning Model deployment.

Featuring


Dickson Neoh - LinkedIn
Dickson Neoh - Personal Portfolio

Notes and Links


ZenML
Universiti Tenaga Nasional 
What is MLOps?
Data Drift vs Concept Drift
Monitoring Machine Learning Model
The philosophy of Ikigai

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