Data Science Dojo ✓

@DataScienceDojo · Seattle, WA · joined 31 Mar 2013

We make learning data science and LLMs easy! Join the community of 10,000+ professionals. #DSDojo

228 984Followers

938Following

60 044Posts total

18.2KViews on collected posts

Latest posts

Data Science Dojo ✓@DataScienceDojo4 Sep

Your AI pilot isn't testing the AI. It's testing your organization. That's the argument Raja Iqbal makes in his latest piece — and it's one every executive planning an agentic AI rollout should sit with before they finalize the budget for the pilot. Agents don't improvise 1.7K views · 4 likes · 1 reposts · 2 replies Open on X →

Data Science Dojo ✓@DataScienceDojo4 Sep

Prompt injection isn't the only way an agent goes rogue. Sometimes it's just doing exactly what it was told, with permissions that were too broad to begin with. Join Dan Ndombe, Staff Developer Success Advocate at Docker, for a hands-on session on running LLM agents safely using 2.3K views · 14 likes · 3 reposts · 0 replies Open on X →

Data Science Dojo ✓@DataScienceDojo2 Sep

Master Scaling AI Coding Agents: Cut Costs with Best-of-N https://t.co/FQYNBf0EG8 6.3K views · 10 likes · 1 reposts · 0 replies Open on X →

Data Science Dojo ✓@DataScienceDojo2 Sep

🎙️ What does LASIK for LLMs mean? 💡 Dan Maloney, CEO of Landing AI, explains: LLMs do a great job with text and language — but when it comes to documents, images, and visual data, they're not quite sharp enough. They might even be 90% accurate — but when you're processing https: 3.4K views · 3 likes · 1 reposts · 1 replies Open on X →

Data Science Dojo ✓@DataScienceDojo26 Aug

@DataScienceDojo Pls how can I get more info about this I am a data scientist and it pains that I miss the program 2 views · 0 likes · 0 reposts · 0 replies Open on X →

Data Science Dojo ✓@DataScienceDojo30 Jun

The July 14th cohort is coming up soon. 10 weeks. 12,000+ alumni. Spots are filling fast. The Agentic AI Bootcamp is back and it covers the full stack of what matters right now. Week 1, you're wrapping your head around how Transformers actually work. Week 3, you're building ht 4.5K views · 25 likes · 5 reposts · 2 replies Open on X →

Against accounts of the same size

5 posts from the last 90 days, next to the 100K–1M follower range. below its peers on both reach and engagement.

Median views2 253this account5 983median for 100K–1M

Reach, %0.98%this account1.49%median for 100K–1M

Engagement, %0.17%this account0.93%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	2 253	5 983	0.38×
Reach (views ÷ followers)	0.98%	1.49%	0.66×
Engagement rate	0.17%	0.93%	0.19×

Others in this range → Compare with another account → How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

4.5K30 Jun

226 Aug

3.4K2 Sep

6.3K

2.3K4 Sep

1.7K

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.71%30 Jun

0.00%26 Aug

0.15%2 Sep

0.17%

0.75%4 Sep

0.42%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes52.8%56 in total

Reposts10.4%11 in total

Replies4.7%5 in total

Bookmarks32.1%34 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.