DataTalks.Club

By DataTalks.Club

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Category: Technology

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Subscribers: 19
Reviews: 0
Episodes: 161

Description

DataTalks.Club - the place to talk about data!

Episode Date
AI for Ecology, Biodiversity, and Conservation - Tanya Berger-Wolf
Apr 26, 2024
Knowledge Graphs and LLMs Across Academia and Industry - Anahita Pakiman
Apr 05, 2024
Inclusive Data Leadership Coaching - Tereza Iofciu
Mar 29, 2024
Building Production Search Systems - Daniel Svonava
Mar 22, 2024
Building Machine Learning Products - Reem Mahmoud
Mar 16, 2024
Make an Impact Through Volunteering Open Source Work - Sara EL-ATEIF
Feb 23, 2024
Accelerating The Job Hunt for The Perfect Job in Tech - Sarah Mestiri
Feb 02, 2024
Machine Learning Engineering in Finance - Nemanja Radojkovic
Jan 31, 2024
Stock Market Analysis with Python and Machine Learning - Ivan Brigida
Jan 24, 2024
Bayesian Modeling and Probabilistic Programming - Rob Zinkov
Jan 22, 2024
Navigating Challenges and Innovations in Search Technologies - Atita Arora
Dec 27, 2023
The Entrepreneurship Journey: From Freelancing to Starting a Company - Adrian Brudaru
Dec 19, 2023
Become a Data Freelancer - Dimitri Visnadi
Dec 17, 2023
AI for Digital Health - Maria Bruckert
Dec 04, 2023
Cracking the Code: Machine Learning Made Understandable - Christoph Molnar
Nov 26, 2023
The Unwritten Rules for Success in Machine Learning - Jack Blandin
Nov 20, 2023
From a Research Scientist at Amazon to a Machine learning/AI Consultant - Verena Webber
Nov 10, 2023
From Marketing to Product Owner in Search - Lera Kaimashnіkova
Nov 05, 2023
Collaborative Data Science in Business - Ioannis Mesionis
Oct 27, 2023
Bridging Data Science and Healthcare - Eleni Stamatelou
Oct 20, 2023
DataTalks.Club Anniversary Interview - Alexey Grigorev, Johanna Bayer
Oct 12, 2023
Data Engineering for Fraud Prevention - Angela Ramirez
Oct 06, 2023
From Data Manager to Data Architect - Loïc Magnien
Sep 29, 2023
Pragmatic and Standardized MLOps - Maria Vechtomova
Sep 08, 2023
Democratizing Causality - Aleksander Molak
Aug 25, 2023
Mastering Data Engineering as a Remote Worker - José María Sánchez Salas
Aug 18, 2023
The Good, the Bad and the Ugly of GPT - Sandra Kublik
Aug 04, 2023
LLMs for Everyone - Meryem Arik
Jul 28, 2023
Investing in Open-Source Data Tools - Bela Wiertz
Jul 21, 2023
Why Machine Learning Design is Broken - Valerii Babushkin
Jul 14, 2023
Interpretable AI and ML - Polina Mosolova
Jul 07, 2023
From Scratch to Success: Building an MLOps Team and ML Platform - Simon Stiebellehner
Jun 30, 2023
From MLOps to DataOps - Santona Tuli
Jun 23, 2023
Data Developer Relations - Hugo Bowne-Anderson
Jun 16, 2023
Lessons Learned from Freelancing and Working in a Start-up - Antonis Stellas
Jun 09, 2023
Data Access Management - Bart Vandekerckhove
Jun 02, 2023
Data Strategy: Key Principles and Best Practices - Boyan Angelov
May 26, 2023
Practical Data Privacy - Katharine Jarmul
May 19, 2023
Building Scalable and Reliable Machine Learning Systems - Arseny Kravchenko
May 12, 2023
Building an Open-Source NLP Tool - Johannes Hötter
Apr 21, 2023
Navigating Industrial Data Challenges - Rosona Eldred
Apr 14, 2023
Mastering Self-Learning in Machine Learning - Aaisha Muhammad
Apr 07, 2023
The Secret Sauce of Data Science Management - Shir Meir Lador
Mar 31, 2023
SE4ML - Software Engineering for Machine Learning - Nadia Nahar
Mar 24, 2023
Starting a Consultancy in the Data Space - Aleksander Kruszelnicki
Mar 17, 2023
Biohacking for Data Scientists and ML Engineers - Ruslan Shchuchkin
Mar 10, 2023
Analytics for a Better World - Parvathy Krishnan
Mar 03, 2023
Accelerating the Adoption of AI through Diversity - Dânia Meira
Feb 24, 2023
Staff AI Engineer - Tatiana Gabruseva
Feb 17, 2023
The Journey of a Data Generalist: From Bioinformatics to Freelancing - Jekaterina Kokatjuhha
Feb 11, 2023
Navigating Career Changes in Machine Learning - Chris Szafranek
Feb 03, 2023
Preparing for a Data Science Interview - Luke Whipps
Jan 27, 2023
Indie Hacking - Pauline Clavelloux
Jan 20, 2023
Doing Software Engineering in Academia - Johanna Bayer
Jan 13, 2023
Data-Centric AI - Marysia Winkels
Jan 06, 2023
Business Skills for Data Professionals - Loris Marini
Dec 16, 2022
From Software Engineer to Data Science Manager - Sadat Anwar
Dec 09, 2022
Teaching and Mentoring in Data Analytics - Irina Brudaru
Dec 02, 2022
Technical Writing and Data Journalism - Angelica Lo Duca
Nov 25, 2022
From Digital Marketing to Analytics Engineering - Nikola Maksimovic
Nov 18, 2022
Product Owners in Data Science - Anna Hannemann
Nov 11, 2022
Building Data Science Practice - Andrey Shtylenko
Nov 04, 2022
Large-Scale Entity Resolution - Sonal Goyal
Oct 28, 2022
From Data Science to DataOps - Tomasz Hinc
Oct 21, 2022
Data Science Career Development - Katie Bauer
Oct 14, 2022
From Testing Phones to Managing NLP Projects - Alvaro Navas Peire
Oct 07, 2022
Responsible and Explainable AI - Supreet Kaur
Sep 30, 2022
Building Data Science Practice - Andrey Shtylenko
Sep 30, 2022
No episode this week
Sep 23, 2022
Leading Data Research - David Bader
Sep 16, 2022
Dataset Creation and Curation - Christiaan Swart
Sep 09, 2022
Data Mesh 101 - Zhamak Dehghani
Sep 02, 2022
Growing Data Engineering Team in a Scale-Up - Mehdi OUAZZA
Aug 26, 2022
Lessons Learned About Data & AI at Enterprises - Alexander Hendorf
Aug 19, 2022
MLOps Architect - Danny Leybzon
Aug 12, 2022
Decoding Data Science Job Descriptions - Tereza Iofciu
Aug 05, 2022
Data Science for Social Impact - Christine Cepelak
Jul 29, 2022
Hiring Data Science Talent - Olga Ivina
Jul 22, 2022
From Open-Source Maintainer to Founder - Will McGugan
Jul 15, 2022
Designing a Data Science Organization - Lisa Cohen
Jul 08, 2022
Developer Advocacy Engineer for Open-Source - Merve Noyan
Jul 01, 2022
Data Scientists at Work - Mısra Turp
Jun 24, 2022
Freelancing and Consulting with Data Engineering - Adrian Brudaru
Jun 17, 2022
Getting a Data Engineering Job (Summary and Q&A) - Jeff Katz
Jun 10, 2022
Using Data for Asteroid Mining - Daynan Crull
Jun 03, 2022
Machine Learning in Marketing - Juan Orduz
May 27, 2022
From Academia to Data Analytics and Engineering - Gloria Quiceno
May 20, 2022
Teaching Data Engineers - Jeff Katz
May 13, 2022
From Roasting Coffee to Backend Development - Jessica Greene
May 06, 2022
Recruiting Data Engineers - Nicolas Rassam
Apr 29, 2022
Storytime for DataOps - Christopher Bergh
Apr 22, 2022
Machine Learning and Personalization in Healthcare - Stefan Gudmundsson
Apr 15, 2022
Innovation and Design for Machine Learning - Liesbeth Dingemans
Apr 08, 2022
Hacking Your Data Career - Marijn Markus
Apr 01, 2022
Visualising Machine Learning - Meor Amer
Mar 25, 2022
From Math Teacher to Analytics Engineer - Juan Pablo
Mar 18, 2022
From Data Science to Data Engineering - Ellen König
Mar 11, 2022
Becoming a Data Engineering Manager - Rahul Jain
Mar 04, 2022
A/B Testing - Jakob Graff
Feb 25, 2022
Machine Learning System Design Interview - Valerii Babushkin
Feb 18, 2022
Career Coaching - Lindsay McQuade
Feb 11, 2022
Product Management Essentials for Data Professionals - Greg Coquillo
Feb 04, 2022
Recruiting Data Professionals - Alicja Notowska
Jan 28, 2022
DataTalks.Club Behind the Scenes - Eugene Yan, Alexey Grigorev
Jan 21, 2022
DTC's minis - From Data Engineering to MLOps - Sejal Vaidya
Jan 14, 2022
Becoming a Data Science Manager - Mariano Semelman
Jan 07, 2022
Leading NLP Teams - Ivan Bilan
Dec 24, 2021
Product Management for Machine Learning - Geo Jolly
Dec 17, 2021
Moving from Academia to Industry - CJ Jenkins
Dec 10, 2021
Advancing Big Data Analytics: Post-Doctoral Research - Eleni Tzirita Zacharatou
Dec 03, 2021
Becoming a Data Product Manager - Sara Menefee
Nov 26, 2021
Data Science Manager vs Data Science Expert - Barbara Sobkowiak
Nov 19, 2021
Ace Non-Technical Data Science Interviews - Nick Singh
Nov 12, 2021
Becoming a Solopreneur in Data - Noah Gift
Nov 05, 2021
Building Business Acumen for Data Professionals - Thom Ives
Oct 29, 2021
Conquering the Last Mile in Data - Caitlin Moorman
Oct 22, 2021
Similarities and Differences between ML and Analytics - Rishabh Bhargava
Oct 15, 2021
Building and Leading Data Teams - Tammy Liang
Oct 08, 2021
What Researchers and Engineers Can Learn from Each Other - Mihail Eric
Oct 01, 2021
Introducing Data Science in Startups - Marianna Diachuk
Sep 24, 2021
Defining Success: Metrics and KPIs - Adam Sroka
Sep 17, 2021
Making Sense of Data Engineering Acronyms and Buzzwords - Natalie Kwong
Sep 11, 2021
Mastering Algorithms and Data Structures - Marcello La Rocca
Sep 03, 2021
Chief Data Officer - Marco De Sa
Aug 27, 2021
Freelancing in Machine Learning - Mikio Braun
Aug 20, 2021
Launching a Startup: From Idea to First Hire - Carmine Paolino
Aug 13, 2021
Approach Learning as ML Project - Vladimir Finkelshtein [mini]
Aug 06, 2021
Humans in the Loop - Lina Weichbrodt
Jul 30, 2021
Running from Complexity - Ben Wilson
Jul 23, 2021
I Want to Build a Machine Learning Startup! - Elena Samuylova
Jul 16, 2021
Big Data Engineer vs Data Scientist - Roksolana Diachuk
Jul 09, 2021
Build Your Own Data Pipeline - Andreas Kretz
Jul 02, 2021
From Software Engineering to Machine Learning - Santiago Valdarrama
Jun 25, 2021
Analytics Engineer: New Role in a Data Team - Victoria Perez Mola
Jun 18, 2021
Data Governance - Jessi Ashdown, Uri Gilad
Jun 11, 2021
What Data Scientists Don’t Mention in Their LinkedIn Profiles - Yury Kashnitsky
Jun 04, 2021
Becoming a Data-led Professional - Arpit Choudhury
May 28, 2021
How to Market Yourself (without Being a Celebrity) - Shawn Swyx Wang
May 21, 2021
From Physics to Machine Learning - Tatiana Gabruseva
May 14, 2021
What I Learned After Interviewing 300 Data Scientists - Oleg Novikov
May 07, 2021
Effective Communication with Business for Data Professionals - Lior Barak
Apr 30, 2021
Data Observability - Barr Moses
Apr 23, 2021
Shifting Career from Analytics to Data Science - Andrada Olteanu
Apr 16, 2021
Transitioning from Project Management to Data Science - Ksenia Legostay
Apr 09, 2021
Building Online Tech Communities - Demetrios Brinkmann
Apr 02, 2021
DataOps 101 - Lars Albertsson
Mar 26, 2021
The Essentials of Public Speaking for Career in Data Science - Ben Taylor
Mar 19, 2021
New Roles and Key Skills to Monetize Machine Learning - Vin Vashishta
Mar 12, 2021
Personal Branding - Admond Lee Kin Lim
Mar 05, 2021
The ABC’s of Data Science - Danny Ma
Feb 26, 2021
Translating ML Predictions Into Better Real-World Results with Decision Optimization - Dan Becker
Feb 19, 2021
Feature Stores: Cutting through the Hype - Willem Pienaar
Feb 12, 2021
The Rise of MLOps - Theofilos Papapanagiotou
Feb 05, 2021
Getting Started with Open Source - Vincent Warmerdam
Jan 29, 2021
Developer Advocacy for Data Science - Elle O'Brien
Jan 23, 2021
The Importance of Writing in a Tech Career - Eugene Yan
Jan 15, 2021
Mentoring - Rahul Jain
Dec 25, 2020
Standing out as a Data Scientist - Luke Whipps
Dec 18, 2020
Building a Data Science Team - Dat Tran
Dec 11, 2020
Processes in a Data Science Project - Alexey Grigorev
Dec 04, 2020
Roles in a data team - Alexey Grigorev
Nov 21, 2020