LLVM Essentials. Become familiar with the LLVM infrastructure and start using LLVM libraries to design a compiler

Mayur Pandey, Suyog Sarda, David Farago

LLVM Techniques, Tips, and Best Practices Clang and Middle-End Libraries. Design powerful and reliable compilers using the latest libraries and tools from LLVM

Min-Yih Hsu

Low-Code Application Development with Appian. The practitioner's guide to high-speed business automation at enterprise scale using Appian

Stefan Helzle

Lua Quick Start Guide. The easiest way to learn Lua programming

Gabor Szauer

L÷VE for Lua Game Programming. If you want to create 2D games for Windows, Linux, and OS X, this guide to the L?ñVE framework is a must. Written for hobbyists and professionals, it will help you leverage Lua for fast and easy game development

Darmie Akinlaja, Damilare Akinlaja

Łamanie i zabezpieczanie aplikacji w systemie iOS

Jonathan Zdziarski

Mac Application Development by Example: Beginner's Guide. A comprehensive and practical guide, for absolute beginners, to developing your own App for Mac OS X book and

Robert Wiebe

Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning

Giuseppe Bonaccorso

Machine Learning Algorithms. Popular algorithms for data science and machine learning - Second Edition

Giuseppe Bonaccorso

Machine Learning and Generative AI for Marketing. Take your data-driven marketing strategies to the next level using Python

Yoon Hyup Hwang, Nicholas C. Burtch

Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python

Dario Radečić

Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples

Andrew McMahon

Machine Learning for Algorithmic Trading. Predictive models to extract signals from market and alternative data for systematic trading strategies with Python - Second Edition

Stefan Jansen

Machine Learning for Cybersecurity Cookbook. Over 80 recipes on how to implement machine learning algorithms for building security systems using Python

Emmanuel Tsukerman

Machine Learning for Developers. Uplift your regular applications with the power of statistics, analytics, and machine learning

Rodolfo Bonnin

Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning

Revathi Gopalakrishnan, Avinash Venkateswarlu

Machine Learning for OpenCV 4. Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn - Second Edition

Aditya Sharma, Vishwesh Ravi Shrimali, Michael Beyeler

Machine Learning for OpenCV. Intelligent image processing with Python

Michael Beyeler

Machine Learning for Time-Series with Python. Forecast, predict, and detect anomalies with state-of-the-art machine learning methods

Ben Auffarth

Machine Learning Fundamentals. Use Python and scikit-learn to get up and running with the hottest developments in machine learning

Hyatt Saleh

Machine Learning Hero. Master Data Science with Python Essentials

Cuantum Technologies LLC

Machine learning i natural language processing w programowaniu. Podręcznik z ćwiczeniami w Pythonie

Piotr Wróblewski

Machine Learning Infrastructure and Best Practices for Software Engineers. Take your machine learning software from a prototype to a fully fledged software system

Miroslaw Staron

Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes

Faisal Masood, Ross Brigoli