Best YouTube channel for different Data Science Topics and Tools.

Umarım yazdıklarım faydalı olur. Sağlıklı günler dilerim. 🍀

A free comprehensive book on Foundations of LLMs In this 230-page book, you can learn everything you need to know about: - Pre-training (with examples) - Generative LLMs - Their training and scaling laws - All about prompts and prompting methods - Instructions to LLMs alignment

Microsoft has launched a powerful new data analysis tool! Introducing Data Formulator, a 100% open-source LLM-powered, no-code tool that transforms data in a snap and creates stunning visualizations. Key features include: 🤖 AI-powered data transformation 🖱️ Interactive

Cloudflare just released AutoRAG in open beta. Build fully managed RAG pipeline that handles data ingestion, chunking, embedding, vector storage, and response generation without writing a single line of Python Code. 100% free during open beta.

How to build an AI agent from scratch. This is the question I get the most, so I recorded this video to show you from the very beginning how you can get started. You can do this in Python, TypeScript, JavaScript, or Ruby.

Microsoft launched the best course on AI Agents! AI Agents for Beginners The Free 10 lesson course is available on Github and will teach you the basics of building AI Agents

Google DeepMind introduces its Agent2Agent protocol!

🚀Google released Agent Development Kit (ADK), a new open-source framework to build, manage, evaluate and deploy multi agents! ADK is an open-source Python framework letting you spin up complex, multi-agent apps in <100 lines of code, without sacrificing customizability,

Huge news. Google just released their Agent Development Kit (ADK). It’s an open-source framework to build, manage, evaluate and deploy multi agents. You can get a multi-agent application running in <100 lines of Python.

I built an MCP AI Agent using Gemini Flash 2.5 with access to AirBnB and Google Maps in just 30 lines of Python Code. 100% Opensource Code.

Veri biliminde anladığım kadarıyla ciddi bir Türkçe kaynak talebi var. Bu müthiş işi yeniden paylaşayım o zaman👇 Stanford Üniversitesi'nin Makine Öğrenmesi, Derin Öğrenme ve Yapay Zeka ders notlarından oluşturulmuş Türkçe cheatsheet'ler. CS 229 - Makine Öğrenmesi 🔗

Zotero's new Note Editor can supercharge your note-taking and writing processes. But many academics don't know about it. Here's how to take notes with Zotero's Note Editor:

Receiving thoughtful feedback on your academic writing is always a challenge. Thesify is an app that can help you with it. It evaluates your writing and gives you considered feedback. And you can get started on it for free. Here's how to use Thesify:

AI is on its way to automate literature review and literature discovery. MIT researchers have built Undermind, an app that generates detailed literature reviews based on abstracts and full texts of research papers. Here's how to use it:

This is a playlist of 9 AI & ML youtube videos you can’t miss as an AI engineer, It’s 50+ hours of technical hands-on courses: 1. Neural Networks Zero to Hero (Karpathy) lnkd.in/gd2JZ5Wt From micro-gradients to nanoGPT, code-first all the way. 2. Stanford CS336 (2025):

Advanced ML Courses- mltut.com/best-advanced-… Kirk Borne Antonio Grasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL

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ML researchers just built a new ensemble technique. It even outperforms XGBoost, CatBoost, and LightGBM. Here's a complete breakdown (explained visually):

PyEcon Projesi, Python programlama dilinin ekonometride kullanımı teşvik etmeyi ve ekonomide programlama tarzının geliştirilmesine katkıda bulunmayı amaçlayan ve sürekli güncellenen bir proje. Ders notlarına, alıştırma ve çözümlere aşağıdaki linkten ulaşabilirsiniz.