AI

4117 readers

9 users here now

Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen.

founded 3 years ago

How can I create an AI model from this dataset? (raw.githubusercontent.com)

submitted 5 months ago by kionite231@lemmy.ca to c/artificial_intel@lemmy.ml

11 comments fedilink hide all child comments

Hello,

I want to create an AI model to learn about AI/ML. so I have scraped some data from Threads and Instagram.now I am wondering how can I use this dataset to make an AI model or do something useful with it? (BTW I don't know anything about AI/ML. I have done internship as Data Analyst so I know a little bit about Linear regression etc. but don't know anything advance.)

I am really curious to explore this space :)

you are viewing a single comment's thread
view the rest of the comments

[–] LeroyJenkins@lemmy.world -4 points 5 months ago* (last edited 5 months ago) (1 children)

That's a great starting point! Your scraped data from Threads and Instagram can be a valuable resource for exploring AI/ML. Here's a general roadmap to get you started:

Understand Your Data: Before diving into AI/ML models, it's crucial to understand your data. Analyze the content you scraped from Threads and Instagram. What format is it in (text, images, videos)? What kind of information does it contain (captions, comments, user data)?
Choose an AI/ML Approach: Based on your data and goals, you can explore different AI/ML techniques. Here are some options to consider:
- Text Analysis: If your data is text-heavy, you can use natural language processing (NLP) to analyze sentiment, topics, or emerging trends. -Image Recognition: If you have a lot of images, you can use computer vision to identify objects, scenes, or classify images based on their content.
Start Simple: Begin with well-established algorithms like linear regression or decision trees. These can provide valuable insights without requiring deep learning expertise.
Utilize Online Resources: There are plenty of online tutorials and courses that can introduce you to AI/ML concepts. Platforms like Google Colab offer free computing resources to experiment with code. Remember, this is an ongoing learning journey. Start with small steps, explore different resources, and don't be afraid to experiment!

[–] kakes@sh.itjust.works 9 points 5 months ago (1 children)

If this comment wasn't written by ChatGPT I'll eat my hat.

[–] Esca@lemmy.one 6 points 5 months ago (2 children)

Both this and Lurch's comment. It gives an answer without actually answering it, it even hallucinates broken links.

[–] kakes@sh.itjust.works 6 points 5 months ago

Also yes. It sucks that this is just what the internet is from now on.

[–] lurch@sh.itjust.works -1 points 5 months ago

I asked the bing copilot to output in markdown for my horrible troll 😅