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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45:56
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45:56
AI/ML & Data Talks Podcast Episode 19
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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28:36
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28:36
AI/ML & Data Talks Podcast Episode 18
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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49:59
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49:59
AI/ML & Data Talks Podcast Episode 17
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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1:00:30
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1:00:30
AI/ML & Data Talks Podcast Episode 16
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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Kuan Hoong (KH) is a Artificial Intelligence (AI)/Machine Learning (ML) & 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 & 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 & tricks to be a better AI/ML & Data Science practitioner. Twitter: @aimldatatalks
México