DataTalks.Club

By DataTalks.Club

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

· Technology

5

77 ratings

Download on the App Store

Download on the App Store

Get it on Google Play

FAQs about DataTalks.Club:

How many episodes does DataTalks.Club have?

The podcast currently has 185 episodes available.

DataTalks.Club episodes:

September 30, 2022Responsible and Explainable AI - Supreet Kaur
We talked about:
Supreet’s background

Responsible AI

Example of explainable AI

Responsible AI vs explainable AI

Explainable AI tools and frameworks (glass box approach)

Checking for bias in data and handling personal data

Understanding whether your company needs certain type of data

Data quality checks and automation

Responsibility vs profitability

The human touch in AI

The trade-off between model complexity and explainability

Is completely automated AI out of the question?

Detecting model drift and overfitting

How Supreet became interested in explainable AI

Trustworthy AI

Reliability vs fairness

Bias indicators

The future of explainable AI

About DataBuzz

The diversity of data science roles

Ethics in data science

Conclusion

Links:
LinkedIn: https://www.linkedin.com/in/supreet-kaur1995/

Databuzz page: https://www.linkedin.com/company/databuzz-club/

Medium Blog Page: https://medium.com/@supreetkaur_66831

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
54min
September 30, 2022Building Data Science Practice - Andrey Shtylenko
We talked about:
Audience Poll

Andrey’s background

What data science practice is

Best DS practice in a traditional company vs IT-centric companies

Getting started with building data science practice (finding out who you report to)

Who the initiative comes from

Finding out what kind of problems you will be solving (Centralized approach)

Moving to a semi-decentralized approach

Resources to learn about data science practice

Pivoting from the role of a software engineer to data scientist

The most impactful realization from data science practice

Advice for individual growth

Finding Andrey online
Links:
Data Teams book: https://www.amazon.com/Data-Teams-Management-Successful-Data-Focused/dp/1484262271/

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
50min
September 23, 2022 No episode this week
Have a great weekend!
...more
1min
September 16, 2022Leading Data Research - David Bader
We talked about:
David’s background

A day in the life of a professor

David’s current projects

Starting a school

The different types of professors

David’s recent papers

Similarities and differences between research labs and startups

Finding (or creating) good datasets

David’s lab

Balancing research and teaching as a professor

David’s most rewarding research project

David’s most underrated research project

David’s virtual data science seminars on YouTube

Teaching at universities without doing research

Staying up-to-date in research

David’s favorite conferences

Selecting topics for research

Convincing students to stay in academia and competing with industry

Finding David online
Links:
David A. Bader: https://davidbader.net/

NJIT Institute for Data Science: https://datascience.njit.edu/

Arkouda: https://github.com/Bears-R-Us/arkouda

NJIT Data Science YouTube Channel: https://www.youtube.com/c/NJITInstituteforDataScience

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
59min
September 09, 2022Dataset Creation and Curation - Christiaan Swart
We talked about:
Christiaan’s background

Usual ways of collecting and curating data

Getting the buy-in from experts and executives

Starting an annotation booklet

Pre-labeling

Dataset collection

Human level baseline and feedback

Using the annotation booklet to boost annotation productivity

Putting yourself in the shoes of annotators (and measuring performance)

Active learning

Distance supervision

Weak labeling

Dataset collection in career positioning and project portfolios

IPython widgets

GDPR compliance and non-English NLP

Finding Christiaan online

Links:
My personal blog: https://useml.net/

Comtura, my company: https://comtura.ai/

LI: https://www.linkedin.com/in/christiaan-swart-51a68967/

Twitter: https://twitter.com/swartchris8/

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
57min
September 02, 2022Data Mesh 101 - Zhamak Dehghani
We talked about:
Zhamak’s background

What is Data Mesh?

Domain ownership

Determining what to optimize for with Data Mesh

Decentralization

Data as a product

Self-serve data platforms

Data governance

Understanding Data Mesh

Adopting Data Mesh

Resources on implementing Data Mesh

Links:
Free 30-day code from O'Reilly: https://learning.oreilly.com/get-learning/?code=DATATALKS22

Data Mesh book: https://learning.oreilly.com/library/view/data-mesh/9781492092384/

LinkedIn: https://www.linkedin.com/in/zhamak-dehghani

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
55min
August 26, 2022Growing Data Engineering Team in a Scale-Up - Mehdi OUAZZA
We talked about:
Mehdi’s background

The difference between startup, scale-up and enterprise

Hypergrowth

Data platform engineers in a scale-up environment

What a data platform is and who builds it

Managing the fast pace of a scale-up while ensuring personal growth

Should a senior data person consider a scale-up or an enterprise?

Should a junior data person consider a scale-up or an enterprise?

Sourcing talent for hyper-growth companies and developing a community culture

Generating content and getting feedback

Generalization vs specialization for data engineers in a scale-up

The ratio of work between platform building and use case pipelines

Being proactive in order to progress to mid or senior level

Caps and bass guitars

MehdiO DataTV and DataCreators.Club (Mehdi’s YouTube Channel and podcast)

Links:
Mehdi's YouTube channel: https://www.youtube.com/channel/UCiZxJB0xWfPBE2omVZeWPpQ

Mehdi's Linkedin: https://linkedin.com/in/mehd-io/

Mehdi's Medium Blog: https://medium.com/@mehdio

Mehdi's data creators club: https://datacreators.club/

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
54min
August 19, 2022Lessons Learned About Data & AI at Enterprises - Alexander Hendorf
We talked about:
Alexander’s background

The role of Partner at Königsweg

Being part of the data and AI community

How Alexander became chair at PyData

Alexander’s many talks and advice on giving them

Explaining AI to managers

Why being able to explain machine learning to managers is important

The experimentational nature of AI and why it’s not a cure-all

Innovation requires patience

Convincing managers not to use AI or ML when there are better (simpler) solutions

The role of MLOps in enterprises

Thinking about the mid- and long-term when considering solutions

Finding Alexander online

Links:
Alexander's Twitter: https://twitter.com/hendorf

Alexander's LinkedIn: https://www.linkedin.com/in/hendorf/

Königsweg: https://www.koenigsweg.com

PyData Südwest: https://www.meetup.com/pydata-suedwest/

PyData Frankfurt: https://www.meetup.com/pydata-frankfurt/

PyConDE & PyData Berlin: https://pycon.de

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
55min
August 12, 2022MLOps Architect - Danny Leybzon
We talked about:
Danny’s background

What an MLOps Architect does

The popularity of MLOps Architect as a role

Convincing an employer that you can wear many different hats

Interviewing for the role of an MLOps Architect

How Danny prioritizes work with data scientists

Coming to WhyLabs when you’ve already got something in production vs nothing in production

Market awareness regarding the importance of model monitoring

How Danny (WhyLabs) chooses tools

ONNX

Common trends in tooling setups

The most rewarding thing for Danny in ML and data science

Danny’s secret for staying sane while wearing so many different hats

T-shaped specialist, E-shaped specialist, and the horizontal line

The importance of background for the role of an MLOps Architect

Key differences for WhyLogs free vs paid

Conclusion and where to find Danny online

Links:
Matt Turck: https://mattturck.com/data2021/

AI Observability Platform: https://whylabs.ai/observability

Danny's LinkedIn: https://www.linkedin.com/in/dleybz/

Whylabs' website: https://whylabs.ai/

AI Infrastructure Alliance: https://ai-infrastructure.org/

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
54min
August 05, 2022Decoding Data Science Job Descriptions - Tereza Iofciu
We talked about:
DataTalks.Club intro

Tereza’s background

Working as a coach

Identifying the mismatches between your needs and that of a company

How to avoid misalignments

Considering what’s mentioned in the job description, what isn’t, and why

Diversity and culture of a company

Lack of a salary in the job description

Way of doing research about the company where you will potentially work

How to avoid a mismatch with a company other than learning from your mistakes

Before data, during data, after data (a company’s data maturity level)

The company’s tech stack

Finding Tereza online

Links:
Decoding Data Science Job Descriptions (talk): https://www.youtube.com/watch?v=WAs9vSNTza8

Talk at ConnectForward: https://www.youtube.com/watch?v=WAs9vSNTza8

Slides: https://www.slideshare.net/terezaif/decoding-data-science-job-descriptions-250687704

Talk at DataLift: https://www.youtube.com/watch?v=pCtQ0szJiLA

Slides: https://www.slideshare.net/terezaif/lessons-learned-from-hiring-and-retaining-data-practitioners

MLOps Zoomcamp: https://github.com/DataTalksClub/mlops-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
50min

FAQs about DataTalks.Club:

How many episodes does DataTalks.Club have?

The podcast currently has 185 episodes available.

More shows like DataTalks.Club

Software Engineering Radio - the podcast for professional software developers by se-radio@computer.org

Software Engineering Radio - the podcast for professional software developers

273 Listeners

TED Talks Daily by TED

TED Talks Daily

11,168 Listeners

The Changelog: Software Development, Open Source by Changelog Media

The Changelog: Software Development, Open Source

284 Listeners

Freakonomics Radio by Freakonomics Radio + Stitcher

Freakonomics Radio

31,966 Listeners

Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

296 Listeners

Machine Learning Guide by OCDevel

Machine Learning Guide

764 Listeners

DataFramed by DataCamp

DataFramed

268 Listeners

Learning Bayesian Statistics by Alexandre Andorra

Learning Bayesian Statistics

66 Listeners

The Real Python Podcast by Real Python

The Real Python Podcast

138 Listeners

声动早咖啡 by 声动活泼

声动早咖啡

261 Listeners