Last month, Google dropped something interesting:
five AI Agent papers released across five consecutive days, one per day, each digging into a different part of how agents should be built, evaluated, secured, and deployed.
No big splash, just a steady rollout of more than 250 pages of highly technical material.
Here’s the distilled version of what those five drops covered:
Read. Learn. Bookmark.
Google acaba de presentar 3 herramientas gratis para ayudarte a estudiar utilizando Gemini ✨
1️⃣ Crea cuestionarios: Crea un cuestionarios para practicar Python.
2️⃣ Nuevo modo "Aprendizaje guiado": Quiero aprender programación desde cero.
3️⃣ Explicaciones mediante imágenes y vídeos: Explícame la arquitectura MVC.
¿Cuál es tu excusa para no aprender algo nuevo?
Duke University is the 7th-best university in the world.
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📚#DataScience en #rstats y EN ESPAÑOL
Desde el planteamiento del problema y la captura de la datos necesaria para poderle dar una solución hasta la redacción de las conclusiones finales que ha obtenido con los modernos informes reproducibles colaborativos
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A minimal study plan for Machine Learning 📈
- Python
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(links in next tweet)
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RT Please, It is useful!
It took me 10 years to master all 24 of these statistics concepts. In the next 24 days, I'll teach them to you one by one (with examples of how I've used them in business cases). Here's what's coming:
1. Probability Distribution
2. Regression
3. Hypothesis Testing
4. Central Tendency
5. Bayesian Statistics
6. Descriptive Statistics
7. Distribution
8. Sampling
9. Confidence Interval
10. Correlation
11. Covariance
12. Dimensionality Reduction
13. Central Limit Theorem
14. Normal Distribution
15. Population and Sample
16. Skewness
17. Variance
18. Data Types
19. Probability
20. Conditional Probability
21. P Values and Level of Significance
22. Variability
23. Over and Under-Sampling
24. Estimation
There you have it-- My top 24 stats concepts every data scientist should know!
But the next problem you’ll face is how to apply data science to business.
I'd like to help.
I’ve spent 100 hours consolidating my learnings into a free 5-day course, How to Solve Business Problems with Data Science. It comes with:
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