Roxana Noelia
@data_datum
PhD. Data Scientist (i+D) at GrupoQuintoAndar . Stats, machine learning, deep learning, IA. #python #R. She/her.
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This paper really is groundbreaking. It solves a long-standing embarrassment in machine learning: despite all the hype around deep learning, traditional tree-based methods (XGBoost, CatBoost, random forests, etc) have dominated tabular data—the most common data format in…
📚 Liberamos los materiales de nuestro curso "Introducción a R para Ciencias Sociales" Desde Estación R abrimos las diapositivas, ejercicios y ejemplos prácticos de nuestro taller de R enfocado en el análisis de encuestas. El curso está pensado para quienes trabajan con datos…
New book just released from @PacktPublishing "Deep Learning Math Workbook", with 300 puzzles — by @ProfTomYeh Check it out and get it here: amzn.to/3KuhKnx
Dos de las herramientas más potentes de IA actualmente unificadas. Deep Research 🤝 NotebookLM
The moment you've ACTUALLY been waiting for... Introducing Deep Research! Rolling out now, Deep Research browses hundreds of sites to craft an organized report AND gives you an annotated list of sources for deeper exploration, all of which you can add directly to your notebook.
Neural networks make more sense when you build them yourself. Deep Learning Crash Course moves fast from basics to transformers, GNNs, and diffusion models with real code. nostarch.com/deep-learning-… Every print book comes with a free Ebook!
#DeepLearning with PyTorch... 1) Cheat sheet [PDF]: dropbox.com/scl/fi/e4xngyk… 2) Learn fundamentals with hands-on coding [PDF]: dropbox.com/scl/fi/lfo7r6f… 3) #GenerativeAI with Python and PyTorch: amzn.to/4fYjiBn book v/ @PacktDataML
![KirkDBorne's tweet image. #DeepLearning with PyTorch...
1) Cheat sheet [PDF]: dropbox.com/scl/fi/e4xngyk…
2) Learn fundamentals with hands-on coding [PDF]: dropbox.com/scl/fi/lfo7r6f…
3) #GenerativeAI with Python and PyTorch: amzn.to/4fYjiBn book v/ @PacktDataML](https://pbs.twimg.com/media/G5u2B57WYAA4z-n.png)
![KirkDBorne's tweet image. #DeepLearning with PyTorch...
1) Cheat sheet [PDF]: dropbox.com/scl/fi/e4xngyk…
2) Learn fundamentals with hands-on coding [PDF]: dropbox.com/scl/fi/lfo7r6f…
3) #GenerativeAI with Python and PyTorch: amzn.to/4fYjiBn book v/ @PacktDataML](https://pbs.twimg.com/media/G5u2D6cWgAALJU_.jpg)
Learn Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) , the trio shaping the future. AI is not replacing you - someone who knows AI will. Start learning now. Here is full AI, ML, NLP Notes! Absolutely free for first 500 people To…
The Stanford Graph Learning Workshop 2025 videos are now live! 🎥 Watch all talks! links below 👇 This year’s themes: 🧠 Agents 🔗 Relational Foundation Models ⚡ Fast LLM Inference Explore the frontiers of AI & data science with top researchers and innovators.…
"Foundations of Machine Learning" A MUST for learning AI/ML. Absolutely Beginner friendly. Do you want to read it FREE?
Download 242-page PDF “Introduction to #NeuralNetworks” ➡️ dkriesel.com/en/science/neu… ————— #DataScience #AI #Algorithms #ML #MachineLearning #DeepLearning #Mathematics #Calculus #DataScientist
Dear Data Analyst/Scientist. Read these books and you'll be miles ahead in your Data journey. To get it: 1. Follow me (so I can DM you) 2. Like and retweet 3. Reply with "Data"
![KirkDBorne's tweet image. [Download PDF] Data Science Project Manual
linkedin.com/posts/dr-vaish…](https://pbs.twimg.com/media/G01igSXWAAAErVR.jpg)
📌 Recordatorio para usuarios de R: read_csv() está vectorizado. Si pasas un vector de rutas de archivo, leerá todos los archivos y los combinará automáticamente. No necesitas map() ni bucles para importar múltiples CSV. Menos código, más claridad.🚀 by @randvegan.bsky.social
Best Neural Network Courses- mltut.com/best-neural-ne… @KirkDBorne @antgrasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI…
The four moments in statistics — mean, variance, skewness, and kurtosis — are essential for understanding the shape and behavior of data distributions. Each moment provides unique insights that help us analyze and interpret data more effectively. Understanding the Four Moments:…
AI Value Creators — Beyond the Generative AI User Mindset: amzn.to/4lW5dXS from @OReillyMedia
The only LLM cheatsheet you’ll ever need ✅ Covers concepts, architectures, and applications. 1. Foundations ↳ Tokens (Tokenizer, BPE) ↳ Embeddings (Cosine Similarity) ↳ Attention (Formula, Multi-Head Attention) 2. Transformers Architecture and Variants ↳ BERT (Encoder…
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