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🚀 Looking for a Co-Founder – AI Engineer 🤖 We’re building Fluency AI, an AI-powered language learning app that helps users learn through real conversations. Our team is growing, and we’re looking for a co-founder with AI expertise to help bring th

Old is Gold: Deep Learning Classics In the fast-paced world of AI, it’s easy to overlook the timeless gems that laid the foundation for modern deep learning. Here’s a curated list of classic, high-quality courses taught by pioneers of the field tha

AI Resources for Beginners Books: 1. Deep Learning. Illustrated Edition. Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2. Mathematics for Machine Learning. Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. 3. Reinforcement learning, An Introd

The Future of AI: What’s Next in Machine Learning and Deep Learning Artificial Intelligence has evolved rapidly over the past decade, but the next phase of innovation promises to be even more transformative. In a recent article published by Xublime

The AI Legends #75 Days Day 31: Jürgen Schmidhuber Jürgen Schmidhuber is best known for his pioneering work in the development of neural networks, particularly the Long Short-Term Memory (LSTM) networks. History: Jürgen Schmidhuber was born on 1963.

Problem Statement The current education system lacks personalization, leaving students with one-size-fits-all learning methods that fail to cater to individual strengths, weaknesses, and learning styles. Traditional EdTech platforms offer content, bu

🚀 Free AI Tools for Tech Enthusiasts 🚀 If you're looking to leverage AI for your projects, here are some free tools you can start using right away: ChatGPT Usage: Natural language processing, chatbots, content generation Link: chat.openai.com

Is AI reshaping the world of software engineering? The distinction between AI and traditional software engineering is becoming clearer. Software engineering now goes beyond writing code—it encompasses designing robust software systems and architectu

The ultimate AI/ML roadmap for beginners 👇 𝗠𝗮𝘁𝗵𝘀 What to learn: • Linear Algebra • Calculus • Statistics Resources: • Practical Statistics for Data Science( https://amzn.to/446czl5 ) • Mathematics for Machine Learning( https://amzn.to/441s