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Category: "Artificial Intelligence"

Bundles

  1. Rust for HPC + GPU Bundle
    GitforGits | Asian Publishing House

    Most developers reach for Python when they need GPU power, but Rust also can deliver the same acceleration with memory safety and zero runtime overhead. This bundle takes you from CUDA fundamentals through Rust-CUDA, cuda-oxide, and RustaCUDA all the way to GPU-accelerated machine learning, entirely in the Rust ecosystem.

  2. All 26 books of The Modern QA Engineer Skillset — the complete 2026 QA curriculum, from AI-augmented automation to career strategy, in a single bundle.

  3. Build Claude Code agents that survive production, then use the same evidence-first discipline to modernize legacy systems safely. This two-book bundle takes you from tools, MCP, evals, observability, and cost controls to characterization tests, golden masters, differential testing, cutover, and rollback.

  4. In the 21st century, data science has become an integral part of the work culture at every manufacturing industry and process industry is no exception to this modern phenomenon. From predictive maintenance to process monitoring, fault diagnosis to advanced process control, machine learning-based solutions are being used to achieve higher process...

  5. In the 21st century, data science has become an integral part of the work culture at every manufacturing industry and process industry is no exception to this modern phenomenon. From predictive maintenance to process monitoring, fault diagnosis to advanced process control, machine learning-based solutions are being used to achieve higher process...

  6. Build a connected study path from Claude agent foundations to professional solution architecture. The bundle combines scenario-based preparation, practice exams, architecture exercises, and detailed reasoning about why plausible answers fail. Independent guides; not affiliated with or endorsed by Anthropic

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  10. Discover the future of deep learning through complex-valued neural networks. This complete two-volume series combines complex analysis, signal processing, neural network theory, stability analysis, and advanced AI architectures to help readers build powerful, mathematically grounded intelligent systems for next-generation applications.

  11. Most LLM books pick a side. Either they explain the math without showing the code, or they show the code without explaining the math. This is both. Two volumes. Eighteen chapters. From your first dot product in Chapter 5 to your fourth fine-tuning project in Chapter 17. Volume I builds the transformer from scratch. Volume II takes it into production. Together they are the only LLM set that walks the full arc from "what is attention" to "ship a fine-tuned model on a budget." If you have ever found a prompt trick that just worked and wished you knew why, or stared at a fine-tuning bill and wondered if you were doing it wrong, this is the set.

  12. Don't panic. Drink coffee, code stuff, sell things online, and let AI pay the bills. 0% fluff, 100% human-approved. Understand AI over coffee ☕Vibecode a business from your couch 🛋️Make money on KDP without talking to people 🤫(Repeat until wealthy or rescued).

  13. Yes, AI can generate outstanding books now. Yes, you can use it to create a passive income stream on the side or even as your main business. It’s not easy. No business system is. But publishing quality books is now very inexpensive, low-risk to try, and one of the most passive business models I can think of. Your books can literally sell themselves. No customer service. No major maintenance or inventory. You do not even need to use your real name. Self-publishing can be the perfect online business model, if it works.

  14. The complete LLM Engineering collection—from a single weight to production systems that fail silently. Explore how LLMs work, how to build and optimise them, and how to diagnose the failures that matter.

  15. Two forensic collections. 110 real investigations into C++ and LLM systems that compile, run, and quietly lie. Trace the evidence, uncover the root cause, and see how each failure was fixed.