📚 Recommended Resources

Curated tools, books, and hardware for building AI systems, learning machine learning, and improving your tech setup

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📖 AI & Machine Learning Books

Hands-On Machine Learning (3rd Edition)

By Aurélien Géron - The definitive guide to building intelligent systems with scikit-learn, Keras, and TensorFlow. Perfect for practical ML implementation.

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Deep Learning (Adaptive Computation)

By Ian Goodfellow, Yoshua Bengio, and Aaron Courville - The comprehensive textbook on deep learning theory and applications. Essential for serious AI developers.

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Python Machine Learning (3rd Edition)

By Sebastian Raschka and Vahid Mirjalili - Master Python for machine learning with scikit-learn, PyTorch, and TensorFlow with this practical guide.

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Artificial Intelligence: A Modern Approach (4th Edition)

By Stuart Russell and Peter Norvig - The leading AI textbook covering intelligent agents, search, knowledge representation, and more.

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💻 Hardware for AI Development

NVIDIA GeForce RTX 4090

Top-tier GPU for AI training and inference. 24GB GDDR6X VRAM, excellent for large language models and deep learning workloads.

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Raspberry Pi 5 (8GB)

Perfect for edge AI, robotics projects, and learning embedded systems. Run small models locally or as an edge device.

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Samsung 990 PRO 2TB NVMe SSD

Fast storage for large datasets, model checkpoints, and knowledge bases. Essential for serious AI development work.

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Corsair Vengeance 64GB DDR5 RAM

High-capacity memory for running multiple models, large batch processing, and development environments simultaneously.

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🛠️ Developer Tools & Productivity

Logitech MX Master 3S

Premium wireless mouse with precise tracking, programmable buttons, and multi-device support. Essential for productivity.

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Keychron Q1 Pro Mechanical Keyboard

Premium mechanical keyboard with hot-swappable switches, wireless connectivity, and customizable RGB. Built for developers.

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LG 34" UltraWide Monitor (34WK95U)

5K2K ultrawide display with USB-C connectivity. Perfect for coding, monitoring dashboards, and multitasking.

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The Pragmatic Programmer (20th Anniversary Edition)

By David Thomas and Andrew Hunt - Essential reading for serious software developers. Timeless principles for writing better code.

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🧠 Data Science & Analytics

Python for Data Analysis (3rd Edition)

By Wes McKinney (creator of pandas) - Master data manipulation and analysis with pandas, NumPy, and Jupyter.

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Designing Data-Intensive Applications

By Martin Kleppmann - Essential for building scalable, reliable systems. Covers databases, distributed systems, and data processing.

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The Art of Statistics

By David Spiegelhalter - Learn to understand data, probability, and statistical thinking in the age of big data and AI.

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Natural Language Processing with Transformers

By Lewis Tunstall, Leandro von Werra, and Thomas Wolf - Master modern NLP with Hugging Face transformers library.

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Note: These recommendations are based on tools and resources we use or have researched for Kiah's development. Product availability and pricing may vary.