DataTalks.Club

By DataTalks.ClubTechnology

DataTalks.Club episodes

December 04, 2023AI for Digital Health - Maria Bruckert
We talked about:
Maria’s background

Deciding to go into telecare (healthcare)

Current difficulties in healthcare

Getting into the healthcare industry as a lifestyle brand

The importance of a plan B and being flexible

What is SQIN and the importance of communication

Going from lipstick to skin health analysis

The importance of community and broadening your audience

The importance of feedback and communicating benefits

The current state and growth of SQIN

Convincing investors and the importance of proving profitability

Maria’s role at SQIN

Balancing a newborn child and a new company

Links:
Free ML Engineering course: http://mlzoomcamp.com

Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html
51 min
November 26, 2023Cracking the Code: Machine Learning Made Understandable - Christoph Molnar
We talked about:
Christoph’s background

Kaggle and other competitions

How Christoph became interested in interpretable machine learning

Interpretability vs Accuracy

Christoph’s current competition engagement

How Christoph chooses topics for books

Why Christoph started the writing journey with a book

Self-publishing vs via a publisher

Christoph’s other books

What is conformal prediction?

Christoph’s book on SHAP

Explainable AI vs Interpretable AI

Working alone vs with other people

Christoph’s other engagements and how to stay hands-on

Keeping a logbook

Does one have to be an expert on the topic to write a book about it?

Writing in the open and other feedback gathering methods

Advice for those who want to be technical writers

Self-publishing tools

Finding Christoph online

Links:
LinkedIn: https://www.linkedin.com/in/christoph-molnar/

Website: https://christophmolnar.com/

Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
52 min
November 20, 2023The Unwritten Rules for Success in Machine Learning - Jack Blandin
We talked about:
Jack’s background

Transitioning from IC to management

Lesson not taught in traditional school

The importance of people’s perception, trust, and respect

How soft skills are relevant to machine learning

How to put on a salesman hat in machine learning management

The importance of visuals and building a POC as fast as possible

1st Rule of Machine Learning – don’t be afraid to start without machine learning

The importance of understanding the reality that data represents

The importance of putting yourself in the shoes of customers

The importance of software engineering skills in machine learning

Where to find Jack’s content

Jack’s next venture
Links:
Jack's LinkedIn profile: https://www.linkedin.com/in/jackblandin/

Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
51 min
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
55 min
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
56 min
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
56 min
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
55 min
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
58 min
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
55 min
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
57 min