Free Programming Books

📘 Perl Notes for Professionals ✍️ Author: Stack Overflow Community 🗓 Year: 2018 📄 Pages: 109 #Perl

📘 Radio Frequency Identification from System to Applications ✍️ Author: Mamun Bin Ibne Reaz 🗓 Year: 2013 📄 Pages: 488 🧠 RFID based application creates tremendous new business opportunities such as the support of independent living of elderly and disabled persons, efficient supply chains, efficient anti-counterfeiting and better environmental monitoring. RFID data management, scalable information systems, business process reengineering, and evaluating investments are emerging as significant technical challenges to applications underpinned by new developments in RFID technology. #RadioFrequency

📘Game Theory Relaunched ✍️ Authors: Hardy Hanappi 🗓 Year: 2013 📄 Pages: 344 🧠 The game is on. Do you know how to play? Game theory sets out to explore what can be said about making decisions which go beyond accepting the rules of a game. Since 1942, a well elaborated mathematical apparatus has been developed to do so; but there is more. During the last three decades game theoretic reasoning has popped up in many other fields as well - from engineering to biology and psychology. New simulation tools and network analysis have made game theory omnipresent these days. #GameTheory

📘How To Code in Node.js ✍️ Authors: David Landup, Marcus Sanatan 🗓 Year: 2020 📄 Pages: 418 🧠 Node.js is a popular open-source runtime environment that can execute JavaScript outside of the browser. The Node runtime is commonly used for back-end web development, leveraging its asynchronous capabilities to create networking applications and web servers. Node is also a popular choice for building command line tools. In this book, you will go through exercises to learn the basics of how to code in Node.js, gaining skills that apply equally to back-end and full stack development in the process. #NodeJs ──────────────────── 👉 @free_programming_books_bds 👈

📘Python Machine Learning Projects ✍️ Authors: Lisa Tagliaferri, Michelle Morales, Ellie Birkbeck, Alvin Wan 🗓 Year: 2019 📄 Pages: 135 🧠 This book will set you up with a Python programming environment if you don't have one already, then provide you with a conceptual understanding of machine learning in the chapter "An Introduction to Machine Learning." What follows next are three Python machine learning projects. They will help you create a machine learning classifier, build a neural network to recognize handwritten digits, and give you a background in deep reinforcement learning through building a bot for Atari. #Python #MachineLearning ──────────────────── 👉 @free_programming_books_bds 👈

📘Statistical Analysis of Networks ✍️ Authors: Konstantin Avrachenkov, Maximilien Dreveton 🗓 Year: 2022 📄 Pages: 237 🧠 This open book is a general introduction to the statistical analysis of networks, and can serve both as a research monograph and as a textbook. Numerous fundamental tools and concepts needed for the analysis of networks are presented, such as network modeling, community detection, graph-based semi-supervised learning and sampling in networks. As prerequisites for reading this book, a basic knowledge in probability, linear algebra and elementary notions of graph theory is advised.  #StatisticalAnalysis ──────────────────── 👉 @free_programming_books_bds 👈

📘 Oracle Database Notes for Professionals ✍️ Author: Stack Overflow Community 🗓 Year: 2018 📄 Pages: 118 #Oracle