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Free Download Araguaia War Volume 1: Counterinsurgency Operations against the Communist Guerrilla in Brazil, 1967-1974
English | 2025 | ISBN: 1804515752 | 88 Pages | PDF (True) | 10 MB
In 1964 a right-wing military coup seized power in Brazil. The Araguaia Guerrilla movement, formed by the Communist Party of Brazil in the late 1960s, launched an armed opposition to the US-backed military government with the intention of waging a Maoist-style peoples war from its base area along the banks of the Araguaia river. Between 1972 and 1974 the Brazilian military launched a brutal campaign to destroy the Araguaia Guerrilla in its jungle stronghold.While the idea of armed opposition to the military government of Brazil was popular amongst the Brazilian left-wing, it was the Communist Party of Brazil (PCdoB) that actually formed such a movement. They selected as their base area the towns along the banks of the Araguaia River where tensions between locals and the government-backed mining operations already existed. The concept was that a rural peoples war would be waged from this base area, inspired by Maos campaign in the Chinese Civil War and the successful Cuban Revolution. Never a large organization, the Araguaia Guerrilla movement avoided much attention of the government until 1972 when the military launched a campaign that by 1974 would leave few survivors.Araguaia War examines the military regime in Brazil between 1964 and 1985, and the subversive groups, both urban and rural that appeared in that country in the late 1960s and early 1970s. The Brazilian military and police forces in the 60s and 70s are described in detail, along with their campaign against the armed opposition in Araguaia, in the states of Maranhão, Pará and Goiás, and the actions of the guerilla movement.

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Free Download Applied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference
English | 2026 | ISBN: 0470749938 | 348 Pages | EPUB | 6 MB
Applied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference delivers an accessible guide to time series analysis that includes both theory and practice. The coverage spans developments from ARIMA intervention models and generalized least squares to the London School of Economics (LSE) approach and vector autoregression. Designed to break difficult concepts into manageable pieces while offering plenty of examples and exercises, the author demonstrates the use of lag operator algebra throughout to provide a better understanding of dynamic specification and the connections between model specifications that appear to be more different than they are.

Free Download Applied Statistics with AI: Hypothesis Testing and Inference for Modern Models (Maths and AI Together) by Anshuman Mishra
English | October 2, 2025 | ISBN: N/A | ASIN: B0FTSR1HWB | 361 pages | EPUB | 0.52 Mb
Artificial Intelligence (AI) has become the backbone of modern technological innovation. From healthcare diagnostics to financial fraud detection, from language translation to autonomous vehicles, AI is transforming industries and shaping the future. However, at the heart of AI lies statistics-the science of data, uncertainty, and inference. Without statistics, AI would merely be a set of algorithms without the ability to reason, infer, or make reliable predictions.

Free Download Applied Mechanics, 2nd Edition
English | 2024 | ISBN: 9781984690562 | 286 Pages | PDF (True) | 30 MB
The book covers topics such as statics, dynamics, strength of materials, and fluid mechanics, offering clear explanations, numerous examples, and exercises to enhance the reader's comprehension and problem-solving skills.

Free Download Applied Mathematics for Scientists and Engineers
English | 2024 | ISBN: 1032583940 | 493 Pages | EPUB (True) | 2 MB
After many years of teaching graduate courses in applied mathematics, Youssef N. Raffoul saw a need among his students for a book reviewing topics from undergraduate courses to help them recall what they had learned, while his students urged him to publish a brief and approachable book on the topic. Thus, the author used his lecture notes from his graduate course in applied mathematical methods, which comprises three chapters on linear algebra, calculus of variations, and integral equations, to serve as the foundation for this work. These notes have undergone continuous revision.

Free Download Applied Machine Learning in Healthcare: Case-Based Approach
English | 2026 | ISBN: 1032765941 | 373 Pages | PDF EPUB (True) | 39,MB
This book explores the latest advancements in machine learning techniques and their transformative applications in the healthcare domain. It delves into the use of machine learning for disease diagnosis and prognosis, showcasing its potential to enable accurate disease identification, effective risk stratification, and personalized treatment planning. The role of machine learning in enhancing clinical decision support systems (CDSS) is examined in detail, with a focus on its impact on informed decision‑making, predictive modelling, and real‑time patient monitoring.

Arch Linux for Beginners and Intermediate Users

Arbeitsrecht in Italien, 2. Auflage

Araguaia War Volume 1

Approaching the Tsinghua Bamboo Slips

Applied Time Series Analysis for the Social Sciences

Applied Statistics with AI Hypothesis Testing and Inference for Modern Models

Applied Mechanics, 2nd Edition

Applied Mathematics for Scientists and Engineers

Applied Machine Learning with Scikit-learn Definitive Reference for Developers and Engineers

Applied Machine Learning in Healthcare Case-Based Approach