DataTalks.Club

By DataTalks.Club

DataTalks.Club - the place to talk about data!... more

· Technology

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FAQs about DataTalks.Club:

How many episodes does DataTalks.Club have?

The podcast currently has 185 episodes available.

DataTalks.Club episodes:

November 10, 2023From a Research Scientist at Amazon to a Machine learning/AI Consultant - Verena Webber
Links:
Mini sound bath: https://www.youtube.com/watch?v=g-lDrcSqcrQ

Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
55min
November 05, 2023From Marketing to Product Owner in Search - Lera Kaimashnіkova
We talked about:
Lera’s background

Lera’s move from Ukraine to Germany

The transition from Marketing to Product Ownership

The importance of communication and one-on-ones

The role of Product Owner

Utilizing Scrum as a Product Owner

Building teams and cross-functionality

Lera’s experience learning about search

The importance of having both technical knowledge and business context

Open developer positions at AUTODOC

What experience Lera came to AUTODOC with

How marketing skills helped Lera in her current role

Lera’s resource recommendations

Everything is possible

Links:
Post: https://www.linkedin.com/posts/leracaiman_elasticsearch-ecommerce-activity-7106615081588674560-5WQO

Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
56min
October 27, 2023Collaborative Data Science in Business - Ioannis Mesionis
Links:
LinkedIn: https://www.linkedin.com/in/ioannis-mesionis/

Github: https://github.com/ioannismesionis

Website: https://ioannismesionis.github.io/

Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
56min
October 20, 2023 Bridging Data Science and Healthcare - Eleni Stamatelou
Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
55min
October 12, 2023 DataTalks.Club Anniversary Interview - Alexey Grigorev, Johanna Bayer
Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
58min
October 06, 2023Data Engineering for Fraud Prevention - Angela Ramirez
We talked about:
Angela's background

Angela's role at Sam's Club

The usefulness of knowing ML as a data engineer

Angela's career path

Transitioning from data analyst to data engineer/system designer

Best practices for system design and data engineering

Working with document databases

Working with network-based databases

Detecting fraud with a network-based database

Selecting the database type to work with

Neo4j vs Postgres

The importance of having software engineering knowledge in data engineering

Data quality check tooling

The greatest challenges in data engineering

Debugging and finding the root cause of a failed job

What kinds of tools Angela uses on a daily basis

Working with external data sources

Angela's resource recommendations

Links:
LinkedIn: https://www.linkedin.com/in/aramirez1305/

Twitter: https://twitter.com/angelamaria__r

Github: https://github.com/aramir62

Previous podcast talk: https://twitter.com/i/spaces/1OwGWwZAZDnGQ?s=20

Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
55min
September 29, 2023From Data Manager to Data Architect - Loïc Magnien
We talked about:
Loïc's background

Data management

Loïc's transition to data engineer

Challenges in the transition to data engineering

What is a data architect?

The output of a data architect's work

Establishing metrics and dimensions

The importance of communication

Setting up best practices for the team

Staying relevant and tech-watching

Setting up specifications for a pipeline

Be agile, create a POC, iterate ASAP, and build reusable templates

Reaching out to Loïc for questions

Links:
Loiic LinkedIn: https://www.linkedin.com/in/loicmagnien/

Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
57min
September 08, 2023Pragmatic and Standardized MLOps - Maria Vechtomova
We talked about:
Maria's background

Marvelous MLOps

Maria's definition of MLOps

Alternate team setups without a central MLOps team

Pragmatic vs non-pragmatic MLOps

Must-have ML tools (categories)

Maturity assessment

What to start with in MLOps

Standardized MLOps

Convincing DevOps to implement

Understanding what the tools are used for instead of knowing all the tools

Maria's next project plans

Is LLM Ops a thing?

What Ahold Delhaize does

Resource recommendations to learn more about MLOps

The importance of data engineering knowledge for ML engineers
Links:
LinkedIn: https://www.linkedin.com/company/marvelous-mlops/
Website: https://marvelousmlops.substack.com/
Free MLOps course: https://github.com/DataTalksClub/mlops-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
54min
August 25, 2023Democratizing Causality - Aleksander Molak
We talked about:
Aleksander's background

Aleksander as a Causal Ambassador

Using causality to make decisions

Counterfactuals and and Judea Pearl

Meta-learners vs classical ML models

Average treatment effect

Reducing causal bias, the super efficient estimator, and model uplifting

Metrics for evaluating a causal model vs a traditional ML model

Is the added complexity of a causal model worth implementing?

Utilizing LLMs in causal models (text as outcome)

Text as treatment and style extraction

The viability of A/B tests in causal models

Graphical structures and nonparametric identification

Aleksander's resource recommendations
Links:
The Book of Why: https://amzn.to/3OZpvBk

Causal Inference and Discovery in Python: https://amzn.to/46Pperr

Book's GitHub repo: https://github.com/PacktPublishing/Causal-Inference-and-Discovery-in-Python

The Battle of Giants: Causality vs NLP (PyData Berlin 2023): https://www.youtube.com/watch?v=Bd1XtGZhnmw

New Frontiers in Causal NLP (papers repo): https://bit.ly/3N0TFTL

Free MLOps course: https://github.com/DataTalksClub/mlops-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
56min
August 18, 2023Mastering Data Engineering as a Remote Worker - José María Sánchez Salas
We talked about:
José's background

How José relocated to Norway and his schedule

Tech companies in Norway and José role

Challenges of working as a remote data engineer

José's newsletter on how to make use of data

The process of making data useful

Where José gets inspiration for his newsletter

Dealing with burnout

When in Norway, do as the Norwegians do

The legalities of working remotely in Norway

The benefits of working remotely

Links:
LinkedIn: https://www.linkedin.com/in/jmssalas

Github: https://github.com/jmssalas

Website & Newsletter: https://jmssalas.com

Free MLOps course: https://github.com/DataTalksClub/mlops-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
47min

FAQs about DataTalks.Club:

How many episodes does DataTalks.Club have?

The podcast currently has 185 episodes available.

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