You don’t need to be a math genius to understand ML.

If formulas like p(x|y) make you freeze — you’re not alone.

 But understanding uncertainty is one key to building better, more human AI systems.

 I wrote a beginner-friendly intro to probabilistic machine learning — no jargon, just plain English.

Thanks Towards Data Science for posting it.

👉 https://towardsdatascience.com/beyond-glorified-curve-fitting-exploring-the-probabilistic-foundations-of-machine-learning/

#datascience #math #machinelearning #ml #deeplearning #ai

Understand RAG at Easter? 🐣 Why not use the time to learn something new — and build your own local PDF chatbot?

Learn how chunking, embeddings and vector search work in practice - with LangChain, FAISS, Ollama and Mistral running entirely on your machine (no API key required).

Perfect for beginners - here's the full guide & GitHub repo 👇

 step-by-step guide: https://bit.ly/3EfOHB9
 GitHub Repo: https://bit.ly/3EtqYgK

#RAG #Langchain #Mistral #LLM #AI #Chatbot #KI #Python #Technology #DataScience #Easter

What happens when a language model solves maths problems?

"If I’m 4 years old and my partner is 3x my age – how old is my partner when I’m 20?"
Do you know the answer?

🤥 An older Llama model (by Meta) said 23.
🤓 A newer Llama model said 28 – correct.

So what made the difference?

Today I kicked off the 5-day Kaggle Generative AI Challenge.
Day 1: Fundamentals of LLMs, prompt engineering & more.

Three highlights from the session:
☕ Chain-of-Thought Prompting
→ Models that "think" step by step tend to produce more accurate answers. Sounds simple – but just look at the screenshots...

☕ Parameters like temperature and top_p
→ Try this on together.ai: Prompt a model with “Suggest 5 colors” – once with temperature 0 and once with 2.
Notice the difference?

☕ Zero-shot, One-shot, Few-shot prompting
→ The more examples you provide, the better the model understands what you want.

#PromptEngineering #GenerativeAI #LLM #Kaggle #LLMApplications #AI #DataScience #Google #Python #Tech

There is no need to move data. Data latency is minimised. Data can be transformed and analysed within a single platform.

Let me know what you know about Zero-ETL  

Why ETL-Zero? Understanding the shift in Data Integration“ by Sarah Lea on Medium: https://medium.com/towards-data-science/why-etl-zero-understanding-the-shift-in-data-integration-as-a-beginner-d0cefa244154

#python #datalake #cloudcomputing #etl #zeroetl #salesforce #data #tech #technology #datawarehousing #datalakehouse

How does your parcel actually arrive on time?  
Behind global delivery networks are algorithms that optimize routes and save time and costs. With PyGame, you can better understand complex situations with simple simulations. For example, you can set up a simple grid system in which a van delivers parcels in a spiral shape.

#python #programming #smartcities #smartcity #pygame #simulation #technology

I don’t think it’s important to understand maths topics in every detail. But mathematical understanding does come up very often if you programming python, creating machine learning models or analysing data.
https://medium.com/@schuerch_sarah/a-beginners-journey-into-key-mathematical-concepts-applied-data-analysis-simplified-137af970ac56

#machinelearning #AI #python #dataanalysis