Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
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Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Mastering Bitcoin 3rd Edition - Programming the Open Blockchain
Machine Learning Engineering Open Book
The Data Engineering Cookbook
The OWASP Mobile Application Security Testing Guide (MASTG) is a comprehensive manual for mobile app security testing and reverse engineering. It describes technical processes for verifying the OWASP Mobile Security Weakness Enumeration (MASWE) weaknesses, which are in alignment with the OWASP MASVS.
A small C compiler
Translated:books: 《Go语言定制指南》 (Go Language Customization Guide) (formerly titled: Introduction to Go Syntax Trees / Open-Source Free Book / Advanced Go / Mastering Abstract Syntax Trees / Go Language AST)
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Contributed code examples from O'Reilly Android Cookbook. See #user-content-table README below!
Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.
Evidence archive for Jesus of Nazareth: research dossier (PDF), New Testament, gnostic and extracanonical gospels, church fathers, ancient witnesses, Roman legal documents, archaeology, and all 238 cited references — searchable reader at https://sybil-solutions.github.io/all-historical-evidence-of-jesus-christ/
Demo Game for Mobile HTML5 Game Development
Functional Data Structures and Algorithms in SSReflect [maintainer=@clayrat]
Mobile Deep Learning Projects, published by Packt
Comprehensive guides to GTFS and GTFS Realtime
An interactive Swift Playground Book about Binary Search Trees (WWDC 2017 Scholarship winner)