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DataTalks.Club

A podcast by: DataTalks.Club

DataTalks.Club - the place to talk about data!

Our American listeners can also listen to DataTalks.Club at our American site

161 Episodes

Working in Open Source - Probabl.ai and sklearn - Vincent Warmerdam
Published 2024-05-03

AI for Ecology, Biodiversity, and Conservation - Tanya Berger-Wolf
Published 2024-04-26
Knowledge Graphs and LLMs Across Academia and Industry - Anahita Pakiman
Published 2024-04-05
Inclusive Data Leadership Coaching - Tereza Iofciu
Published 2024-03-29
Building Production Search Systems - Daniel Svonava
Published 2024-03-22
Building Machine Learning Products - Reem Mahmoud
Published 2024-03-16
Make an Impact Through Volunteering Open Source Work - Sara EL-ATEIF
Published 2024-02-23
Accelerating The Job Hunt for The Perfect Job in Tech - Sarah Mestiri
Published 2024-02-02
Machine Learning Engineering in Finance - Nemanja Radojkovic
Published 2024-01-31
Stock Market Analysis with Python and Machine Learning - Ivan Brigida
Published 2024-01-24
Bayesian Modeling and Probabilistic Programming - Rob Zinkov
Published 2024-01-22
Navigating Challenges and Innovations in Search Technologies - Atita Arora
Published 2023-12-27
The Entrepreneurship Journey: From Freelancing to Starting a Company - Adrian Brudaru
Published 2023-12-19
Become a Data Freelancer - Dimitri Visnadi
Published 2023-12-17
AI for Digital Health - Maria Bruckert
Published 2023-12-04
Cracking the Code: Machine Learning Made Understandable - Christoph Molnar
Published 2023-11-26
The Unwritten Rules for Success in Machine Learning - Jack Blandin
Published 2023-11-20
From a Research Scientist at Amazon to a Machine learning/AI Consultant - Verena Webber
Published 2023-11-10
From Marketing to Product Owner in Search - Lera Kaimashnіkova
Published 2023-11-05
Collaborative Data Science in Business - Ioannis Mesionis
Published 2023-10-27
Bridging Data Science and Healthcare - Eleni Stamatelou
Published 2023-10-20
DataTalks.Club Anniversary Interview - Alexey Grigorev, Johanna Bayer
Published 2023-10-12
Data Engineering for Fraud Prevention - Angela Ramirez
Published 2023-10-06
From Data Manager to Data Architect - Loïc Magnien
Published 2023-09-29
Pragmatic and Standardized MLOps - Maria Vechtomova
Published 2023-09-08
Democratizing Causality - Aleksander Molak
Published 2023-08-25
Mastering Data Engineering as a Remote Worker - José María Sánchez Salas
Published 2023-08-18
The Good, the Bad and the Ugly of GPT - Sandra Kublik
Published 2023-08-04
LLMs for Everyone - Meryem Arik
Published 2023-07-28
Investing in Open-Source Data Tools - Bela Wiertz
Published 2023-07-21
Why Machine Learning Design is Broken - Valerii Babushkin
Published 2023-07-14
Interpretable AI and ML - Polina Mosolova
Published 2023-07-07
From Scratch to Success: Building an MLOps Team and ML Platform - Simon Stiebellehner
Published 2023-06-30
From MLOps to DataOps - Santona Tuli
Published 2023-06-23
Data Developer Relations - Hugo Bowne-Anderson
Published 2023-06-16
Lessons Learned from Freelancing and Working in a Start-up - Antonis Stellas
Published 2023-06-09
Data Access Management - Bart Vandekerckhove
Published 2023-06-02
Data Strategy: Key Principles and Best Practices - Boyan Angelov
Published 2023-05-26
Practical Data Privacy - Katharine Jarmul
Published 2023-05-19
Building Scalable and Reliable Machine Learning Systems - Arseny Kravchenko
Published 2023-05-12

DataTalks.Club - the place to talk about data!

161 Episodes

Working in Open Source - Probabl.ai and sklearn - Vincent Warmerdam

AI for Ecology, Biodiversity, and Conservation - Tanya Berger-Wolf

Knowledge Graphs and LLMs Across Academia and Industry - Anahita Pakiman

Inclusive Data Leadership Coaching - Tereza Iofciu

Building Production Search Systems - Daniel Svonava

Building Machine Learning Products - Reem Mahmoud

Make an Impact Through Volunteering Open Source Work - Sara EL-ATEIF

Accelerating The Job Hunt for The Perfect Job in Tech - Sarah Mestiri

Machine Learning Engineering in Finance - Nemanja Radojkovic

Stock Market Analysis with Python and Machine Learning - Ivan Brigida

Bayesian Modeling and Probabilistic Programming - Rob Zinkov

Navigating Challenges and Innovations in Search Technologies - Atita Arora

The Entrepreneurship Journey: From Freelancing to Starting a Company - Adrian Brudaru

Become a Data Freelancer - Dimitri Visnadi

AI for Digital Health - Maria Bruckert

Cracking the Code: Machine Learning Made Understandable - Christoph Molnar

The Unwritten Rules for Success in Machine Learning - Jack Blandin

From a Research Scientist at Amazon to a Machine learning/AI Consultant - Verena Webber

From Marketing to Product Owner in Search - Lera Kaimashnіkova

Collaborative Data Science in Business - Ioannis Mesionis

Bridging Data Science and Healthcare - Eleni Stamatelou

DataTalks.Club Anniversary Interview - Alexey Grigorev, Johanna Bayer

Data Engineering for Fraud Prevention - Angela Ramirez

From Data Manager to Data Architect - Loïc Magnien

Pragmatic and Standardized MLOps - Maria Vechtomova

Democratizing Causality - Aleksander Molak

Mastering Data Engineering as a Remote Worker - José María Sánchez Salas

The Good, the Bad and the Ugly of GPT - Sandra Kublik

LLMs for Everyone - Meryem Arik

Investing in Open-Source Data Tools - Bela Wiertz

Why Machine Learning Design is Broken - Valerii Babushkin

Interpretable AI and ML - Polina Mosolova

From Scratch to Success: Building an MLOps Team and ML Platform - Simon Stiebellehner

From MLOps to DataOps - Santona Tuli

Data Developer Relations - Hugo Bowne-Anderson

Lessons Learned from Freelancing and Working in a Start-up - Antonis Stellas

Data Access Management - Bart Vandekerckhove

Data Strategy: Key Principles and Best Practices - Boyan Angelov

Practical Data Privacy - Katharine Jarmul

Building Scalable and Reliable Machine Learning Systems - Arseny Kravchenko