BASHAR HAMAD AUBAIDANA Comprehensive Roadmap from Novice to Expert Are you struggling to navigate the complex world of Artificial Intelligence? I've got something that might just change your learning trajectory! 🎯 After months of intense work, I'm thrilled to share a meticulously crafted AI learning roadmap.
Here's why it's a game-changer: 📊 7 Key Pillars:
- Linear Algebra 2. Probability and Statistics 3. Calculus 4. Numerical Computation 5. Machine Learning Fundamentals 6. Deep Learning Basics 7. Advanced Deep Learning Topics 🔍 Each pillar is broken down into detailed subtopics 📚 10+ curated resources for EVERY subtopic 🏗️ Built on the foundation of 5 cornerstone AI books Why this matters:
• **Structured learning path from **basics to advanced concepts
• Save countless hours searching for reliable resources
• Gain a comprehensive understanding of AI
• Suitable for beginners and those filling knowledge gaps This roadmap is the most detailed I've ever created or encountered. It's not just my personal take – it's backed by insights from industry-leading books:
_ 📘 “Deep Learning” by Goodfellow, Bengio, & Courville 📗 “Deep Learning with Python” by Chollet 📕 “Grokking Deep Learning” by Trask 📙 “Deep Learning : A Practitioner's Approach" by Patterson & Gibson 📔 "Deep Learning for Coders" by Howard & Gugger Ready to transform your AI learning journey? Comment "Interested" below, and I'll share more details!_
