DataTalks.Club

By DataTalks.ClubTechnology

DataTalks.Club episodes

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
51 min
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
51 min
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
51 min
May 26, 2023Data Strategy: Key Principles and Best Practices - Boyan Angelov
We talked about:
Boyan's background

What is data strategy?

Due diligence and establishing a common goal

Designing a data strategy

Impact assessment, portfolio management, and DataOps

Data products

DataOps, Lean, and Agile

Data Strategist vs Data Science Strategist

The skills one needs to be a data strategist

How does one become a data strategist?

Data strategist as a translator

Transitioning from a Data Strategist role to a CTO

Using ChatGPT as a writing co-pilot

Using ChatGPT as a starting point

How ChatGPT can help in data strategy

Pitching a data strategy to a stakeholder

Setting baselines in a data strategy

Boyan's book recommendations

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

Twitter: https://twitter.com/thinking_code

Github: https://github.com/boyanangelov

Website: https://boyanangelov.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
56 min
May 19, 2023Practical Data Privacy - Katharine Jarmul
We talked about:
Katharine's background

Katharine's ML privacy startup

GDPR, CCPA, and the “opt-in as the default” approach

What is data privacy?

Finding Katharine's book – Practical Data Privacy

The various definitions of data privacy and “user profiles”

Privacy engineering and privacy-enhancing technologies

Why data privacy is important

What is differential privacy?

The importance of keeping privacy in mind when designing systems

Data privacy on the example of ChatGPT

Katharine's resource suggestions for learning about data privacy

Links:
LinkedIn: https://www.linkedin.com/in/katharinejarmul/
Twitter: https://twitter.com/kjam
Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
58 min
May 12, 2023Building Scalable and Reliable Machine Learning Systems - Arseny Kravchenko
We talked about:
Arseny's background

Working on machine learning in startups

What is Machine Learning System Design?

Constraints and requirements

Known unknowns vs unknown unknowns (Design stage)

Writing a design document

Technical problems vs product-oriented problems

The solution part of the Design Document

What motivated Arseny to write a book on ML System Design

Examples of a Design Document in the book

The types of readers for ML System Design

Working with the co-author

Reacting to constraints and feedback when writing a book

Arseny's favorite chapter of the book

Other resources where you can learn about ML System Design

Twitter Giveaway

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)

Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
51 min
April 21, 2023Building an Open-Source NLP Tool - Johannes Hötter
We talked about:
Johannes’s background

Johannes’s Open Source Spotlight demos – Refinery and Bricks

The difficulties of working with natural language processing (NLP)

Incorporating ChatGPT into a process as a heuristic

What is Bricks?

The process of starting a startup – Kern

Making the decision to go with open source

Pros and cons of launching as open source

Kern’s business model

Working with enterprises

Johannes as a salesperson

The team at Kern

Johannes’s role at Kern

How Johannes and Henrik separate responsibilities at Kern

Working with very niche use cases

The short story of how Kern got its funding

Johannes’s resource recommendation

Links:
Refinery's GitHub repo: https://github.com/code-kern-ai/refinery

Bricks' Github repo: https://github.com/code-kern-ai/bricks

Bricks Open Source Spotlight demo: https://www.youtube.com/watch?v=r3rXzoLQy2U

Refinery Open Source Spotlight demo: https://www.youtube.com/watch?v=LlMhN2f7YDg

Discord: https://discord.com/invite/qf4rGCEphW

Ker's Website: https://www.kern.ai

Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
57 min
April 14, 2023Navigating Industrial Data Challenges - Rosona Eldred
We talked about:
Rosona’s background

How mathematics knowledge helps in industry

What is industrial data?

Setting up an industrial process using blue paint

Internet companies’ data vs industrial data

Explaining industrial processes using packing peanuts

Why productive industry needs data

Measuring product qualities

How data specialists use industrial data

Defining and measuring sustainability

Using data in reactionary measures to changing regulations

Types of industrial data

Solving problems and optimizing with industrial data

Industrial solvers

Tiny data vs Big data in productive industry

The advantages of coming from academia into productive industry

Materials and resources for industrial data

Women in industry

Why Rosona decided to shift to industrial data

Links:
Kaggle dataset: https://www.kaggle.com/datasets/paresh2047/uci-semcom
54 min
April 07, 2023Mastering Self-Learning in Machine Learning - Aaisha Muhammad
We talked about:
Aaisha’s background

How homeschooling affects self-study

Deciding on what to learn about

Establishing whether a resource is good

How Aaisha focuses on learning

Deciding on what kind of project to build

Find research materials

Aaisha’s experience with the Data Talks Club ML Zoomcamp

ML Zoomcamp projects

Aaisha’s interest in bioinformatics

Keeping motivated with deadlines

Notes and time-tracking tools

Drawbacks to self-studying

Aaisha’s interest in machine learning

Aaisha’s least favorable part of ML Zoomcamp

Helping people as a way to learn

Using ChatGPT as a “study group”

Is it possible to use self-studying to learn high-level topics

Switching topics to avoid burnout

Aaisha’s resource recommendations

Links:
LinkedIn: https://www.linkedin.com/in/aaisha-muhammad/

Twitter: https://twitter.com/ZealousMushroom

Github: https://github.com/AaishaMuhammad

Website: http://www.aaishamuhammad.co.za/

Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
52 min
March 31, 2023The Secret Sauce of Data Science Management - Shir Meir Lador
We talked about:
Shir’s background

Debrief culture

The responsibilities of a group manager

Defining the success of a DS manager

The three pillars of data science management

Managing up

Managing down

Managing across

Managing data science teams vs business teams

Scrum teams, brainstorming, and sprints

The most important skills and strategies for DS and ML managers

Making sure proof of concepts get into production

Links:
The secret sauce of data science management: https://www.youtube.com/watch?v=tbBfVHIh-38

Lessons learned leading AI teams: https://blogs.intuit.com/2020/06/23/lessons-learned-leading-ai-teams/

How to avoid conflicts and delays in the AI development process (Part I): https://blogs.intuit.com/2020/12/08/how-to-avoid-conflicts-and-delays-in-the-ai-development-process-part-i/

How to avoid conflicts and delays in the AI development process (Part II): https://blogs.intuit.com/2021/01/06/how-to-avoid-conflicts-and-delays-in-the-ai-development-process-part-ii/

Leading AI teams deck: https://drive.google.com/drive/folders/1_CnqjugtsEbkIyOUKFHe48BeRttX0uJG

Leading AI teams video: https://www.youtube.com/watch?app=desktop&v=tbBfVHIh-38

Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
49 min