DataTalks.Club
DataTalks.ClubDataTalks.Club - the place to talk about data!
| Publishes | Weekly | Episodes | 196 | Founded | 5 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Latest Episodes
In this episode, we talked with Aishwarya Jadhav, a machine learning engineer whose career has spanned Morgan Stanley, Tesla, and now Waymo. Aishwarya shares her journey from big data in finance to applied AI in self-driving, gesture understanding, a... more
In this episode, we talked with Ranjitha Kulkarni, a machine learning engineer with a rich career spanning Microsoft, Dropbox, and now NeuBird AI. Ranjitha shares her journey into ML and NLP, her work building recommendation systems, early AI agents,... more
In this episode, we talked with Abouzar Abbaspour, a data engineer whose career spans software engineering in Iran, building crowd and recommendation systems at a Dutch theme park, deploying large-scale ML models at Bol.com, and now working at Tesla.... more
In this episode, we chat with Dashel Ruiz, whose journey spans semiconductors, machine learning, and teaching. Dashel shares how he transitioned from hardware to data science, navigated complex projects in diverse industries, and now combines technic... more
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Apple Podcasts | #92 |  Singapore/Technology |
Apple Podcasts | #218 |  South Korea/Technology |
Apple Podcasts | #229 |  United Arab Emirates/Technology |
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Frequently Asked Questions About DataTalks.Club
What is DataTalks.Club about and what kind of topics does it cover?
The content focuses on the evolving landscape of data technologies and engineering practices, featuring discussions about data's intersection with fields like machine learning, AI, and more traditional areas such as healthcare and e-commerce. Key topics frequently covered include advancements in search technologies, career transitions within data fields, and the importance of a data-driven strategy in modern businesses. Notable insights often emerge from guests who share their journeys and challenges faced in the data space, providing practical advice for listeners looking to excel in data-related careers or projects. This podcast stands out for its blend of technical depth and real-world applicability, making it particularly appealing to b... more
Where can I find podcast stats for DataTalks.Club?
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How many listeners does DataTalks.Club get?
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What are the audience demographics for DataTalks.Club?
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How many subscribers and views does DataTalks.Club have?
To see how many followers or subscribers DataTalks.Club has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
Which podcasts are similar to DataTalks.Club?
These podcasts share a similar audience with DataTalks.Club:
1. Data Engineering Podcast
2. DataFramed
3. Practical AI
4. Talk Python To Me
5. Dwarkesh Podcast
How many episodes of DataTalks.Club are there?
DataTalks.Club launched 5 years ago and published 196 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact DataTalks.Club?
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Where can I see ratings and reviews for DataTalks.Club?
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How do I access podcast episode transcripts for DataTalks.Club?
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What guests have appeared on DataTalks.Club?
Recent guests on DataTalks.Club include:
1. Ranjitha Kulkarni
2. Igor Yin
3. Selim Nowicki
4. Yashasvi Misra
5. Mehdi Ouazza
6. Daniel Egbo
7. Kacper Łukawski
8. Manish Gill
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.