We are excited to announce the official launch of the Confetti AI platform, the most comprehensive set of questions and resources to help you ace your #MachineLearning and #DataScience interviews! Check it out 🎉
https://t.co/ZXXIPMECaE
#100DaysOfMLCode#100DaysOfCode#BigData
We've been acquired by @towards_AI! 🎊🎉
Towards AI is a leading global AI education platform, enabling generations of practitioners to learn the skills necessary to succeed in their careers. We’re excited that Confetti has found a home helping to realize this important goal!
I'm incredibly excited to announce that @ConfettiAi has been acquired by @towards_AI! 🎊🎉
It's hard to imagine that Henry and I conceived of the idea for Confetti 2.5 years ago over a dinner in Sunnyvale but here we are.
Looking to level up your machine learning and data science skills in 2022?
We have a special promo to get you started.😎For the month of January, all of our membership plans are discounted by 33%!
https://t.co/e0vRF2AcKH
@ConfettiAi now has 4000+ ML and DS practitioners using our educational resources including industry professionals and students around the world. 🌎
This. Blows. My. Mind.
To all our users and people that supported us in this journey, thank you. You made this possible! 🙏
Our founder @mihail_eric will be speaking at the @DataTalksClub podcast next week!
The topic will be how to build an effective ML team that balances engineering rigor and experimentation.
It'll be live-streamed so be sure to register! https://t.co/Pt9BpFGJOU
We just released a complete guide for becoming a data engineer! It covers concepts related to database fundamentals, scalable data pipelines, productionization, and more with over 80 practice questions. 😎
Check it out! https://t.co/JaC5iYjGCi
We just released a public JupyterHub learning module that guides you through building a K-Nearest Neighbors classifier from scratch. 💪
We've never seen ML model-building taught this way so we hope you'll give it a try!
https://t.co/AA4iDu9ESh
We're building a data science interview frequently-asked-questions and would love your input!
What are your biggest questions about data science interviews? 👇
Starting a new machine learning project and not sure how to best organize your code?
Yup, we've all been there. 🙃
Here's a project template you can use for creating new ML projects based on our experience of what works in practice: https://t.co/42uzKmndQg
👩🏻💻 Day 83 | #100DaysOfCode
🎊 Just finished the pandas module on @ConfettiAi. 100% recommend! Now moving onto Modeling libraries!
https://t.co/n3czZMNYwb
Excited to announce the launch of our Ultimate Machine Learning Resource Guide! 😎
30 of the best books, courses, and tools for learning everything from machine learning theory and mathematics to ML engineering!🚀
https://t.co/BzeClpjkFG
#MachineLearning#100DaysOfCode
Super excited for the next 6 months! 💪
We'll be expanding our educational offerings in:
🔹MLOps
🔹Data engineering
🔹ML fundamental algorithms
🔹Math for ML
🔹Community-based learning
Here's a sneak peak of what we're up to!
This report is always a *very* enlightening read on the state of AI today. Highlights:
🔸Investment in AI drug design increased 4.5x since 2019
🔸65% of graduating PhDs head to industry over academia
🔸Majority of US PhDs stay in the US
🔸China overtakes US in journal citations
We're back with week 5 of the Spring 2021 FSDL course!
This week: Setting up ML Projects
We talk about the lifecycle of a ML project, archetypes of projects, deciding what to work on, and setting up for success with the right metrics and baselines.
https://t.co/oGutm44p20
👩🏻💻 Day 53 | #100DaysOfCode
🗒️ I started solving random interview questions from @ConfettiAi. If you haven't checked them out yet, do it. Their content is awesome!
https://t.co/n3czZMNYwb
How do you effectively organize data science projects to increase chances of success?
The data science life cycle is a neat formalism for how to plan the stages of data-driven projects.
It's very useful, so if you're not familiar check out this post: https://t.co/we6G6IDfL8
How do you deploy a machine learning model?
Check out my new post! https://t.co/Qx3RtQ7hO0
In it we build:
🚀REST service with @tiangolo's sleek FastAPI
🌐Chrome extension to interact with the model
🐳Custom @Docker images
🏇CI/CD with @DVCorg + Github actions