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:

August 04, 2023The Good, the Bad and the Ugly of GPT - Sandra Kublik
We talked about:
Sandra's background

Making a YouTube channel to break into the LLM space

The business cases for LLMs

LLMs as amplifiers

The befits of keeping a human in the loop when using LLMs (AI limitations)

Using LLMs as assistants

Building an app that uses an LLM

Prompt whisperers and how to improve your prompts

Sandra's 7-day LLM experiment

Sandra's LLM content recommendations

Finding Sandra online

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

Twitter: https://twitter.com/sandra_kublik

Youtube: https://www.youtube.com/@sandra_kublik

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
51min
July 28, 2023LLMs for Everyone - Meryem Arik
We talked about:
Meryam's background

The constant evolution of startups

How Meryam became interested in LLMs

What is an LLM (generative vs non-generative models)?

Why LLMs are important

Open source models vs API models

What TitanML does

How fine-tuning a model helps in LLM use cases

Fine-tuning generative models

How generative models change the landscape of human work

How to adjust models over time

Vector databases and LLMs

How to choose an open source LLM or an API

Measuring input data quality

Meryam's resource recommendations

Links:
Website: https://www.titanml.co/

Beta docs: https://titanml.gitbook.io/iris-documentation/overview/guide-to-titanml...

Using llama2.0 in TitanML Blog: https://medium.com/@TitanML/the-easiest-way-to-fine-tune-and-inference-llama-2-0-8d8900a57d57

Discord: https://discord.gg/83RmHTjZgf

Meryem LinkedIn: https://www.linkedin.com/in/meryemarik/

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
July 21, 2023Investing in Open-Source Data Tools - Bela Wiertz
We talked about:
Bela's background

Why startups even need investors

Why open source is a viable go-to-market strategy

Building a bottom-up community

The investment thesis for the TKM Family Office and the blurriness of the funding round naming convention

Angel investors vs VC Funds vs family offices

Bela's investment criteria and GitHub stars as a metric

Inbound sourcing, outbound sourcing, and investor networking

Making a good impression on an investor

Balancing open and closed source parts of a product

The future of open source

Recent successes of open source companies

Bela's resource recommendations

Links:
Understand who is engaging with your open source project article: https://www.crowd.dev/

Top 6 Books on Developer Community Building: https://www.crowd.dev/post/top-6-books-on-developer-community-building

Which open source software metrics matter: https://www.bvp.com/atlas/measuring-the-engagement-of-an-open-source-software-community#Which-open-source-software-metrics-matter

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
55min
July 14, 2023Why Machine Learning Design is Broken - Valerii Babushkin
Links:
Book: https://www.manning.com/books/machine-learning-system-design?utm_source=AGMLBookcamp&utm_medium=affiliate&utm_campaign=book_babushkin_machine_4_25_23&utm_content=twitter

Discount: poddatatalks21 (35% off)

Evidently: https://www.evidentlyai.com/

Article: https://medium.com/people-ai-engineering/design-documents-for-ml-models-bbcd30402ff7

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
52min
July 07, 2023Interpretable AI and ML - Polina Mosolova
We talked about:
Polina's background

How common it is for PhD students to build ML pipelines end-to-end

Simultaneous PhD and industry experience

Support from both the academic and industry sides

How common the industrial PhD setup is and how to get into one

Organizational trust theory

How price relates to trust

How trust relates to explainability

The importance of actionability

Explainability vs interpretability vs actionability

Complex glass box models

Does the explainability of a model follow explainability?

What explainable AI bring to customers and end users

Can all trust be turned into KPI?

Links:
LinkedIn: https://www.linkedin.com/in/polina-mosolova/

Neural Additive Models paper: https://proceedings.neurips.cc/paper/2021/file/251bd0442dfcc53b5a761e050f8022b8-Paper.pdf

Neural Basis Model paper: https://arxiv.org/pdf/2205.14120.pdf

Interpretable Feature Spaces paper: https://kdd.org/exploration_files/vol24issue1_1._Interpretable_Feature_Spaces_revised.pdf
...more
53min
June 30, 2023From Scratch to Success: Building an MLOps Team and ML Platform - Simon Stiebellehner
We talked about:
Simon's background

What MLOps is and what it isn't

Skills needed to build an ML platform that serves 100s of models

Ranking the importance of skills

The point where you should think about building an ML platform

The importance of processes in ML platforms

Weighing your options with SaaS platforms

The exploratory setup, experiment tracking, and model registry

What comes after deployment?

Stitching tools together to create an ML platform

Keeping data governance in mind when building a platform

What comes first – the model or the platform?

Do MLOps engineers need to have deep knowledge of how models work?

Is API design important for MLOps?

Simon's recommendations for furthering MLOps knowledge

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

Github: https://github.com/stiebels

Medium: https://medium.com/@sistel

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
June 23, 2023From MLOps to DataOps - Santona Tuli
We talked about:
Santona's background

Focusing on data workflows

Upsolver vs DBT

ML pipelines vs Data pipelines

MLOps vs DataOps

Tools used for data pipelines and ML pipelines

The “modern data stack” and today's data ecosystem

Staging the data and the concept of a “lakehouse”

Transforming the data after staging

What happens after the modeling phase

Human-centric vs Machine-centric pipeline

Applying skills learned in academia to ML engineering

Crafting user personas based on real stories

A framework of curiosity

Santona's book and resource recommendations

Links:
LinkedIn: https://www.linkedin.com/in/santona-tuli/

Upsolver website: upsolver.com

Why we built a SQL-based solution to unify batch and stream workflows: https://www.upsolver.com/blog/why-we-built-a-sql-based-solution-to-unify-batch-and-stream-workflows

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
June 16, 2023Data Developer Relations - Hugo Bowne-Anderson
We talked about:
Hugo's background

Why do tools and the companies that run them have wildly different names

Hugo's other projects beside Metaflow

Transitioning from educator to DevRel

What is DevRel?

DevRel vs Marketing

How DevRel coordinates with developers

How DevRel coordinates with marketers

What skills a DevRel needs

The challenges that come with being an educator

Becoming a good writer: nature vs nurture

Hugo's approach to writing and suggestions

Establishing a goal for your content

Choosing a form of media for your content

Is DevRel intercompany or intracompany?

The Vanishing Gradients podcast

Finding Hugo online

Links:
Hugo Browne's github: http://hugobowne.github.io/

Vanishing Gradients: https://vanishinggradients.fireside.fm/

MLOps and DevOps: Why Data Makes It Differenthttps://www.oreilly.com/radar/mlops-and-devops-why-data-makes-it-different/

Evaluate Metaflow for free, right from your Browser: https://outerbounds.com/sandbox/

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
51min
June 09, 2023Lessons Learned from Freelancing and Working in a Start-up - Antonis Stellas
We talked about;
Antonis' background

The pros and cons of working for a startup

Useful skills for working at a startup and the Lean way to work

How Antonis joined the DataTalks.Club community

Suggestions for students joining the MLOps course

Antonis contributing to Evidently AI

How Antonis started freelancing

Getting your first clients on Upwork

Pricing your work as a freelancer

The process after getting approved by a client

Wearing many hats as a freelancer and while working at a startup

Other suggestions for getting clients as a freelancer

Antonis' thoughts on the Data Engineering course

Antonis' resource recommendations

Links:
Lean Startup by Eric Ries: https://theleanstartup.com/

Lean Analytics: https://leananalyticsbook.com/

Designing Machine Learning Systems by Chip Huyen: https://www.oreilly.com/library/view/designing-machine-learning/9781098107956/

Kafka Streaming with python by Khris Jenkins tutorial video: https://youtu.be/jItIQ-UvFI4

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
51min
June 02, 2023Data Access Management - Bart Vandekerckhove
We talked about:
Bart's background

What is data governance?

Data dictionaries and data lineage

Data access management

How to learn about data governance

What skills are needed to do data governance effectively

When an organization needs to start thinking about data governance

Good data access management processes

Data masking and the importance of automating data access

DPO and CISO roles

How data access management works with a data mesh approach

Avoiding the role explosion problem

The importance of data governance integration in DataOps

Terraform as a stepping stone to data governance

How Raito can help an organization with data governance

Open-source data governance tools

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

Twitter: https://twitter.com/Bart_H_VDK

Github: https://github.com/raito-io

Website: https://www.raito.io/

Data Mesh Learning Slack: https://data-mesh-learning.slack.com/join/shared_invite/zt-1qs976pm9-ci7lU8CTmc4QD5y4uKYtAA#/shared-invite/email

DataQG Website: https://dataqg.com/

DataQG Slack: https://dataqgcommunitygroup.slack.com/join/shared_invite/zt-12n0333gg-iTZAjbOBeUyAwWr8I~2qfg#/shared-invite/email

DMBOK (Data Management Book of Knowledge): https://www.dama.org/cpages/body-of-knowledge

DMBOK Wheel describing the data governance activities: https://www.dama.org/cpages/dmbok-2-wheel-images

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
51min

FAQs about DataTalks.Club:

How many episodes does DataTalks.Club have?

The podcast currently has 185 episodes available.

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