4 episodes
The Confused Data Scientist Podcast Vincent Lam
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- Society & Culture
This podcast is delivered by Dlops whose mission is to build a dictionary of tech on the Internet.
This podcast is about a young guy going through the journey of becoming a data scientist and the confusions he meets on the way.
I hope it is fun, engaging and insightful for people to start to frame problems in a data scientific sense.
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Software Engineering in the Age of Information with a 17 Year Old Freelancer
Hajaap Dhillon is a 17 year old freelance software developer and we talked about:
- How to get started on Software Engineering?
- Tutorials vs Practice
- Tech in India and their big cities
- Gold rush of professional software service
- Tech in Hong Kong -
Regulating Big Tech and Data
Daniel is a chemistry major and a JD candidate. He specialises in Intellectual Property Law.
This episode we talked about regulating Big Tech, the Internet Service Providers. We also discuss freedom of speech and what the balance of forces does to the filters that suppress freedom of expression. -
Chatting with an Ex IBM Lead Data Scientist
In this episode I chat with Craig Trim. He was a lead Data Scientist at IBM for more than 3 years. His focus is on technological innovations in Natural Language Processing and Deep Learning and application to client business situations. He is passionate about bringing Semantic Web technology and Deep Learning together to drive Feature Engineering and Model Explainability.
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Who am I and What is so confusing about Data Science?
This episode is mainly myself ranting about the confusions I face through my own journey of learning data science, both on the Internet and through my formal education.