article thumbnail

Top 5 Challenges faced by Data Scientists

Pickl AI

However, despite being a lucrative career option, Data Scientists face several challenges occasionally. The following blog will discuss the familiar Data Science challenges professionals face daily. Additionally, you should attend conferences and events like webinars and learn from your peers and experts.

article thumbnail

How to build reusable data cleaning pipelines with scikit-learn

Snorkel AI

I guess if you’re using deep learning—in your case, I guess it’s tabular data, so you don’t really need the large deep learning models. And for your use case, neural networks are great for unstructured text, images, etc, but have not shown to be very much more effective in terms of tabular data anyway. JG : Exactly.

article thumbnail

Retrieval augmented generation (RAG): a conversation with its creator

Snorkel AI

But what folks generally underestimate, or just misunderstand, is that it’s not just generically good data. You need data that’s labeled and curated for your use case. That goes back to what you said: It’s not just about “cleaning data.” Snorkel has more live online events coming.