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DataTalks.Club
By DataTalks.ClubTechnology
DataTalks.Club episodes
- Building Production Search Systems - Daniel Svonava
Links:
- VectorHub: https://superlinked.com/vectorhub/?utm_source=community&utm_medium=podcast&utm_campaign=datatalks
- Daniel's LinkedIn: https://www.linkedin.com/in/svonava/
Free Data Engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.htmlOur events: https://datatalks.club/events.htmlThis podcast is sponsored by VectorHub, a free open-source learning community for all things vector embeddings and information retrieval systems.59 min - Building Machine Learning Products - Reem Mahmoud
We talked about:
- Reem’s background
- Context-aware sensing and transfer learning
- Shifting focus from PhD to industry
- Reem’s experience with startups and dealing with prejudices towards PhDs
- AI interviewing solution
- How candidates react to getting interviewed by an AI avatar
- End-to-end overview of a machine learning project
- The pitfalls of using LLMs in your process
- Mitigating biases
- Addressing specific requirements for specific roles
- Reem’s resource recommendations
Links:
- LinkedIn: https://www.linkedin.com/in/reemmahmoud/recent-activity/all/
- Website: https://topmate.io/reem_mahmoud
Free Data Engineering course: https://github.com/DataTalksClub/data-engineering-zoomcampJoin DataTalks.Club: https://datatalks.club/slack.htmlOur events: https://datatalks.club/events.html57 min - Make an Impact Through Volunteering Open Source Work - Sara EL-ATEIF
We talked about:
- Sara’s background
- On being a Google PhD fellow
- Sara’s volunteer work
- Finding AI volunteer work
- Sara’s Fruit Punch challenge
- How to take part in AI challenges
- AI Wonder Girls
- Hackathons
- Things people often miss in AI projects and hackathons
- Getting creative
- Fostering your social media
- Tips on applying for volunteer projects
- Why it’s worth doing volunteer projects
- Opportunities for data engineers and students
- Sara’s newsletter suggestions
Links:
- Dev and AI hackathons: https://devpost.com/
- Healthcare-focused challenges: https://grand-challenge.org/challenges/
- Volunteering in projects (AI4Good): https://www.fruitpunch.ai/
- Volunteering in projects (AI4Good) 2: https://www.omdena.com/
- Twitter: https://twitter.com/el_ateifSara
- Instagram: https://www.instagram.com/saraelateif/
- LinkedIn: https://www.linkedin.com/in/sara-el-ateif/
- Youtube: www.youtube.com/@elateifsara
Free Data Engineering course: https://github.com/DataTalksClub/data-engineering-zoomcampJoin DataTalks.Club: https://datatalks.club/slack.htmlOur events: https://datatalks.club/events.html56 min - Accelerating 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-zoomcampJoin DataTalks.Club: https://datatalks.club/slack.htmlOur events: https://datatalks.club/events.html54 min - Machine 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-zoomcampJoin DataTalks.Club: https://datatalks.club/slack.htmlOur events: https://datatalks.club/events.html54 min - Stock 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.comJoin DataTalks.Club: https://datatalks.club/slack.htmlOur events: https://datatalks.club/events.html56 min - Bayesian 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.comJoin DataTalks.Club: https://datatalks.club/slack.htmlOur events: https://datatalks.club/events.html55 min - Navigating 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.htmlOur events: https://datatalks.club/events.html57 min - The 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.comJoin DataTalks.Club: https://datatalks.club/slack.htmlOur events: https://datatalks.club/events.html57 min - Become 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.comJoin DataTalks.Club: https://datatalks.club/slack.htmlOur events: https://datatalks.club/events.html56 min
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