Community-Driven Learning

Community-Driven Learning

Photo by John Cameron / Unsplash

Learning together is the best way to learn 🚀

I started to learn Data Science when I finished English preparatory class. I realized something quickly is that self-learning is so hard, people don’t enjoy self-learning when they’re alone. (Especially me. it’s so boring 😅) Because there aren’t any goals when you begin self-learning.

Self-learning has a dark side and it’s that unclear/non-clarified. Schools have few solutions for this problem. They have a stable curriculum, exam system(feedback-system), etc, etc.

The solution is, to be persistent, to get your hands dirty(jump into the projects). But it’s still so hard, people -like me- wouldn’t be persistent and don’t want to get their hands dirty. The solution is to be an active member of communities. I’m not saying that if you become a member you will be persistent or fall in love with hands-on projects, but you can find your support, encouragement, and motivation within the community. You’re not just learning something, you also engaging with people, networking, giving value to each other, supporting each other. I can write 2 more hours about why communities are useful for self-learning, but I will save your time :)

Best Communities in the Data Science!

I’m recommending the communities below for Data Science, Research and MLOps field.

1 -) DataTalks.Club

At DataTalks.Club you can talk about any data-related topic: analytics, data science, and machine learning. You can also discuss career options and ask for career advice. There are also weekly events and a podcast.

To join go to: slack.html.

2 -)

If you want to talk about MLOps and ML engineering in general — that’s the best place on the Internet to do that. There are weekly meetups and a podcast featuring well-known MLOps experts.

To join go to:

3 -) Machine Learning Collective (MLC Open Collab)

ML Collective (MLC) is an independent, nonprofit organization with a mission to make research opportunities accessible and free by supporting open collaboration in machine learning (ML) research. A lot of events such as office hours, interest groups(research), project groups are arranged by MLC.

To join go to:

4 -) HuggingFace

HF is a library, platform, community for Natural Language Processing field. The company is developing state-of-the-art transformer models. Also, they have a lot of computer vision models deployed and ready-to-use in hf.spaces

To join go to:

5 -) PyData — PyData Global

The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData is a community for developers and users of open-source data tools. The first priority is diversity!

To join go to:

6 -) Data Version Control (DVC)

Data Version Control or DVC is an open-source tool for data science and machine learning projects. It makes your project reproducible and how you can easily follow your models and data. It’s like Git, but for data.

It’s my one of the best community. Great people support, encourage you !

To join go to:

7 -) DagsHub

DagsHub is a platform that leverages popular open-source tools to version datasets & models, track experiments, label data (new feature) and visualize results. DAGsHub uses open-source protocols, so it’s fully portable and extensible. The platform is supporting a lot of ML-MLOps tools. It’s Github for Data Scientists.

To join go to:

8 -) Eleuther AI

EleutherAI is a decentralized collective of volunteer researchers, engineers, and developers focused on AI alignment, scaling, and open-source AI research. Founded in July of 2020, they are most well known for their ongoing efforts to build open-source large language models but also do open research in alignment, interpretability, BioML, ML art, and many other fields.

To join go to:

About author 🧙‍♂ ️

I like communicating with people online and on social media as a self-taught machine learning engineer. Follow me to be my friend, and I look forward to engaging with you here or on other platforms! Long details of who I am may be found here!🔥