How the challenge works and what you’ll build
talk-data.com
A
Speaker
Alexey Grigorev
14
talks
Founder
DataTalks.Club
Founder of DataTalks.Club (a community of 38,000+ data enthusiasts); author of multiple books on machine learning, including Machine Learning Bookcamp; creator of Machine Learning Zoomcamp.
Bio from: MLOps Zoomcamp Competition - Bot or Not?
Frequent Collaborators
Filter by Event / Source
Talks & appearances
14 activities · Newest first
How to deploy, monitor, and evaluate your ML system in a live environment
What’s expected from your model and how to get started
What if everyday objects weren’t so ordinary? In this talk, Alexey will share how he and his son built a GenAI-powered system that transforms photos of common objects into horror stories—automatically generating a new podcast episode every day. He'll dive into the process, deployment, automation, and key lessons learned.
We talked about:
00:00 DataTalks.Club intro
00:00 DataTalks.Club anniversary "Ask Me Anything" event with Alexey Grigorev
02:29 The founding of DataTalks .Club
03:52 Alexey's transition from Java work to DataTalks.Club
04:58 Growth and success of DataTalks.Club courses
12:04 Motivation behind creating a free-to-learn community
24:03 Staying updated in data science through pet projects
26 :37 Hosting a second podcast and maintaining programming skills
28:56 Skepticism about LLMs and their relevance
31:53 Transitioning to DataTalks.Club and personal reflections
33:32 Memorable moments and the first event's success
36:19 Community building during the pandemic
38:31 AI's impact on data analysts and future roles
42:24 Discussion on AI in healthcare
44:37 Age and reflections on personal milestones
47:54 Building communities and personal connections
49:34 Future goals for the community and courses
51:18 Community involvement and engagement strategies
53:46 Ideas for competitions and hackathons
54:20 Inviting guests to the podcast
55:29 Course updates and future workshops
56:27 Podcast preparation and research process
58:30 Career opportunities in data science and transitioning fields
1:01 :10 Book recommendations and personal reading experiences
About the speaker:
Alexey Grigorev is the founder of DataTalks.Club.
Join our slack: https://datatalks.club/slack.html
An overview session where the course creator discusses the Machine Learning Zoomcamp, including course curriculum, assignments and scoring, homework and feedback, course projects for your portfolio, and DataTalks.Club community; plus tips for navigating the course materials and maximizing your learning experience.
In this podcast episode, we talked with Guillaume Lemaître about navigating scikit-learn and imbalanced-learn.
🔗 CONNECT WITH Guillaume Lemaître LinkedIn - https://www.linkedin.com/in/guillaume-lemaitre-b9404939/ Twitter - https://x.com/glemaitre58 Github - https://github.com/glemaitre Website - https://glemaitre.github.io/
🔗 CONNECT WITH DataTalksClub Join the community - https://datatalks-club.slack.com/join/shared_invite/zt-2hu0sjeic-ESN7uHt~aVWc8tD3PefSlA#/shared-invite/email Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/u/0/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ Check other upcoming events - https://lu.ma/dtc-events LinkedIn - https://www.linkedin.com/company/datatalks-club/ Twitter - https://twitter.com/DataTalksClub Website - https://datatalks.club/
🔗 CONNECT WITH ALEXEY Twitter - https://twitter.com/Al_Grigor Linkedin - https://www.linkedin.com/in/agrigorev/
🎙 ABOUT THE PODCAST At DataTalksClub, we organize live podcasts that feature a diverse range of guests from the data field. Each podcast is a free-form conversation guided by a prepared set of questions, designed to learn about the guests’ career trajectories, life experiences, and practical advice. These insightful discussions draw on the expertise of data practitioners from various backgrounds.
We stream the podcasts on YouTube, where each session is also recorded and published on our channel, complete with timestamps, a transcript, and important links.
You can access all the podcast episodes here - https://datatalks.club/podcast.html
📚Check our free online courses ML Engineering course - http://mlzoomcamp.com Data Engineering course - https://github.com/DataTalksClub/data-engineering-zoomcamp MLOps course - https://github.com/DataTalksClub/mlops-zoomcamp Analytics in Stock Markets - https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp LLM course - https://github.com/DataTalksClub/llm-zoomcamp Read about all our courses in one place - https://datatalks.club/blog/guide-to-free-online-courses-at-datatalks-club.html
👋🏼 GET IN TOUCH If you want to support our community, use this link - https://github.com/sponsors/alexeygrigorev
If you're a company and want to support us, contact at [email protected]
Hands-on workshop on building a search engine from scratch, focusing on text search and vector search. Topics include in-memory text search, tokenization and preprocessing, inverted index construction, embeddings, converting text to vectors, cosine similarity, and strategies to combine text and vector search. The session includes practical coding in a Jupyter Notebook using Python to implement both text and vector search approaches.
Workshop led by Alexey Grigorev on building a chatbot using large language models with Python. Topics include data extraction from FAQs, knowledge base indexing, chatbot setup in a Jupyter Notebook, interfacing with LLMs, and implementing Retrieval-Augmented Generation (RAG).
Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
Overview of the Machine Learning Zoomcamp course: topics and technologies covered; course assignments and scoring; homework and getting feedback; course projects for your portfolio; DataTalks.Club community; tips for navigating the course materials and getting the most out of your learning experience.
We talked about:
Alexey’s background Being a principal data scientist DataTalks.Club The beginning and growth of DataTalks.Club Sustaining the pace Types of talks Popular and favorite talks Making DataTalks.Club self-sufficient Alexey’s book and course Advice for people starting in data science and staying motivated Not keeping up to date with new tools Staying productive Learning technical subjects and keeping notes Inspiration and idea generation for DataTalks.Club
Links:
https://eugeneyan.com/writing/informal-mentors-alexey-grigorev/
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
In this podcast, we talk about CRISP-DM - a methodology for organizing data science projects DataTalks.Club is the place to talk about data. Join our community: https://datatalks.club Read more about CRISP-DM here: https://mlbookcamp.com/article/crisp-dm
We talked about:
- different roles in a data team: product managers, data analysts, data engineers, data scientists, ML engineers, MLOps engineers
- their responsibilities
- the skills they need
DataTalks.Club is the place to talk about data. Join our community: https://datatalks.club