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:

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
...more
56min
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
...more
58min
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
...more
51min
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
...more
57min
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
...more
54min
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
...more
52min
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
...more
49min
March 24, 2023SE4ML - Software Engineering for Machine Learning - Nadia Nahar
We talked about:
Nadia’s background

Academic research in software engineering

Design patterns

Software engineering for ML systems

Problems that people in industry have with software engineering and ML

Communication issues and setting requirements

Artifact research in open source products

Product vs model

Nadia’s open source product dataset

Failure points in machine learning projects

Finding solutions to issues using Nadia’s dataset and experience

The problem of siloing data scientists and other structure issues

The importance of documentation and checklists

Responsible AI

How data scientists and software engineers can work in an Agile way

Links:
Model Card: https://arxiv.org/abs/1810.03993

Datasheets: https://arxiv.org/abs/1803.09010

Factsheets: https://arxiv.org/abs/1808.07261

Research Paper: https://www.cs.cmu.edu/~ckaestne/pdf/icse22_seai.pdf

Arxiv version: https://arxiv.org/pdf/2110.

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
...more
54min
March 17, 2023Starting a Consultancy in the Data Space - Aleksander Kruszelnicki
We talked about:
Aleksander’s background

The difficulty of selling data stack as a service

How Aleksander got into consulting

The Mom Test – extracting feedback from people

User interviews

Why Aleksander’s data stack as a service startup was not viable

How Aleksander decided to switch to consulting

Finding clients to consult

Figuring out how to position your services

Geographical limitations

Figuring out your target audience

The importance of networking and marketing

Pricing your services

The pitfalls of daily and hourly pricing and how to balance incentives

Is Germany a good place to found a company?

Aleksander’s book recommendations

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

Twitter: https://twitter.com/alkrusz

Website: www.leukos.io

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
...more
53min
March 10, 2023Biohacking for Data Scientists and ML Engineers - Ruslan Shchuchkin
We talked about:
Ruslan’s background

Fighting procrastination and perfectionism

What is biohacking?

The role of dopamine and other hormones in daily life

How meditation can help

The influence light has on our bodies

Behavioral biohacking

Daylight lamps and using light to wake up

Sleep cycles

How nutrition affects productivity

Measuring productivity

Examples of unsuccessful biohacking attempts

Stoicism, voluntary discomfort, and self-challenges

Biohacking risks and ways to prevent them

Coffee and tea biohacking

Using self-reflection and tracking to measure results

Mindset shifting

Stoicism book recommendation

Work/life balance

Ruslan’s biohacking resource recommendation

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

ree 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
...more
53min

FAQs about DataTalks.Club:

How many episodes does DataTalks.Club have?

The podcast currently has 185 episodes available.

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