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:

February 02, 2024Accelerating The Job Hunt for The Perfect Job in Tech - Sarah Mestiri
We talked about:
Sarah’s background

How Sarah became a coach and found her niche

Sarah’s clients

How Sarah helps her clients find the perfect job

Finding a specialization

Informational interviews

Building a connection for mutual benefit

The networking strategy

Listing your projects in the CV

The importance of doing research yourself and establishing your interests

How to land a part-time job when the company wants full-time

Age is not a factor

Applying for jobs after finishing a course and the importance of sharing your learnings

Sarah resource recommendations

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

Website: https://thrivingcareermoms.com/

Personal Website: https://www.sarahmestiri.com/

Youtube channel: https://www.youtube.com/@thrivingcareermoms444
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
January 31, 2024Machine Learning Engineering in Finance - Nemanja Radojkovic
We talked about:
Nemanja’s background
When Nemanja first work as a data person

Typical problems that ML Ops folks solve in the financial sector

What Nemanja currently does as an ML Engineer

The obstacle of implementing new things in financial sector companies

Going through the hurdles of DevOps

Working with an on-premises cluster

“ML Ops on a Shoestring” (You don’t need fancy stuff to start w/ ML Ops)

Tactical solutions

Platform work and code work

Programming and soft skills needed to be an ML Engineer

The challenges of transitioning from and electrical engineering and sales to ML Ops

The ML Ops tech stack for beginners

Working on projects to determine which skills you need

Links:
LinkedIn: https://www.linkedin.com/in/radojkovic/
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
January 24, 2024Stock Market Analysis with Python and Machine Learning - Ivan Brigida
We talked about:
Ivan’s background

How Ivan became interested in investing

Getting financial data to run simulations

Open, High, Low, Close, Volume

Risk management strategy

Testing your trading strategies

Sticking to your strategy

Important metrics and remembering about trading fees

Important features

Deployment

How DataTalks.Club courses helped Ivan

Ivan’s site and course sign-up

Links:
Exploring Finance APIs: https://pythoninvest.com/long-read/exploring-finance-apis

Python Invest Blog Articles: https://pythoninvest.com/blog

Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
56min
January 22, 2024Bayesian Modeling and Probabilistic Programming - Rob Zinkov
We talked about:
Rob’s background

Going from software engineering to Bayesian modeling

Frequentist vs Bayesian modeling approach

About integrals

Probabilistic programming and samplers

MCMC and Hakaru

Language vs library

Encoding dependencies and relationships into a model

Stan, HMC (Hamiltonian Monte Carlo) , and NUTS

Sources for learning about Bayesian modeling

Reaching out to Rob

Links:
Book 1: https://bayesiancomputationbook.com/welcome.html

Book/Course: https://xcelab.net/rm/statistical-rethinking/
Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
55min
December 27, 2023Navigating Challenges and Innovations in Search Technologies - Atita Arora
We talked about:
Atita’s background

How NLP relates to search

Atita’s experience with Lucidworks and OpenSource Connections

Atita’s experience with Qdrant and vector databases

Utilizing vector search

Major changes to search Atita has noticed throughout her career

RAG (Retrieval-Augmented Generation)

Building a chatbot out of transcripts with LLMs

Ingesting the data and evaluating the results

Keeping humans in the loop

Application of vector databases for machine learning

Collaborative filtering

Atita’s resource recommendations

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

Twitter: https://x.com/atitaarora

Github: https://github.com/atarora

Human-in-the-Loop Machine Learning: https://www.manning.com/books/human-in-the-loop-machine-learning

Relevant Search: https://www.manning.com/books/relevant-search

Let's learn about Vectors: https://hub.superlinked.com/
Langchain: https://python.langchain.com/docs/get_started/introduction

Qdrant blog: https://blog.qdrant.tech/

OpenSource Connections Blog: https://opensourceconnections.com/blog/

Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
57min
December 19, 2023The Entrepreneurship Journey: From Freelancing to Starting a Company - Adrian Brudaru
We talked about:
Adrian’s background

The benefits of freelancing

Having an agency vs freelancing

What let Adrian switch over from freelancing

The conception of DLT (Growth Full Stack)

The investment required to start a company

Growth through the provision of services

Growth through teaching (product-market fit)

Moving on to creating docs

Adrian’s current role

Strategic partnerships and community growth through DocDB

Plans for the future of DLT

DLT vs Airbyte vs Fivetran

Adrian’s resource recommendations

Links:
Adrian's LinkedIn: https://www.linkedin.com/in/data-team/

Twitter: https://twitter.com/dlt_library

Github: https://github.com/dlt-hub/dlt

Website: https://dlthub.com/docs/intro

Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
57min
December 17, 2023Become a Data Freelancer - Dimitri Visnadi
We talked about:
Dimitri’s background

The first steps of transitioning into freelance

Working with recruiters (contracting)

Deciding on what to charge for your services

Establishing your network

Self-marketing

Contracting vs freelancing

Which channel is better for those starting out?

Cutting out the middleman

Where to look for clients and how to vet them

The different way of getting into freelancing

Going back to a full-time job after freelancing

Common mistakes freelancers make

Dimitri’s resource suggestions

Reaching out to Dimitri

Links:
LinkedIn profile: http://www.linkedin.com/in/visnadi

The DataFreelancer website: https://thedatafreelancer.com/

Free ML Engineering course: http://mlzoomcamp.com
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
...more
56min
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
...more
51min
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
...more
52min
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
...more
51min

FAQs about DataTalks.Club:

How many episodes does DataTalks.Club have?

The podcast currently has 185 episodes available.

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