Machine Learning Systems

The Solana MEV Playbook: Building High-Frequency Arbitrage and MEV Bots in Rust Solana moves in milliseconds. MEV moves in microseconds. If your bot is slow, someone else eats your trade. This is the technical playbook for engineers who want to build production-grade MEV and arbitrage infrastructure on Solana — in Rust, from the ground up, with real code and real architecture.

L'IA va-t-elle nous libérer ou nous détruire ? Ni l'un ni l'autre c'est un outil, et tout dépend de l'usage que nous en ferons. Un guide clair et concret pour comprendre la technologie qui transforme notre époque, et décider de la place que nous voulons y occuper surtout en Afrique.

Blockchain does not remove trust. It moves trust into code everyone can verify.

Every second, a machine makes a decision for you. Can it prove it? Most AI can’t. Proof of Intelligence shows leaders, architects and builders how to combine AI and blockchain into systems that can prove where their data came from, what they did and who is accountable.

Life and AI are made of different stuff, yet they face many of the same problems. This book sets their solutions side by side, from the first cells to today's language models, to understand both.

We'll be working on a platform made up of seventy-nine recipes together. It starts off as a simple task, printing a line, but by the last chapter it covers extraction, warehousing, containers, machine learning and incident response. You can't just throw away examples in your work, and you shouldn't be doing that in your examples either. You don't need to be an Airflow expert to get started. What you're really learning here isn't a tool. It's all about making sure work is repeatable, observable and safe to rerun.

Behind every breakthrough in Generative AI isn't magic—it's mathematics."​Ever wondered what actually happens inside a Large Language Model when it generates the next token? Beyond the hype and high-level API calls lies an elegant foundation of probability, vector geometry, and linear algebra.​In The Mathematics of Generative AI, Ahmed Adawy strips away the academic jargon to reveal the exact core equations driving modern LLMs. From conditional probability and high-dimensional embeddings to Query-Key-Value attention mechanisms, this capsule equips software engineers and AI practitioners with the intuition needed to build, debug, and innovate with confidence.​Stop treating AI like a black box. Master the equations beneath the intelligence.

Forecasting is changing fast. This practical guide takes you from ARIMA and exponential smoothing to Transformers, PatchTST and foundation models like Chronos and TimesFM. With clear explanations, hands-on Python examples and an honest look at what works and what fails, you’ll learn how to build forecasting systems that hold up in the real world.