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Fundamentals of Probability: With Stochastic Processes
Fundamentals of Probability: With Stochastic Processes

"The 4th edition of Ghahramani's book is replete with intriguing historical notes, insightful comments, and well-selected examples/exercises that, together, capture much of the essence of probability. Along with its Companion Website, the book is suitable as a primary resource for a first course in probability. Moreover, it...

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
Theory and Approaches of Group Decision Making with Uncertain Linguistic Expressions (Uncertainty and Operations Research)
Theory and Approaches of Group Decision Making with Uncertain Linguistic Expressions (Uncertainty and Operations Research)
This book mainly introduces a series of theory and approaches of group decision-making based on several types of uncertain linguistic expressions and addresses their applications. The book pursues three major objectives: (1) to introduce some techniques to model several types of natural linguistic expressions; (2) to handle these...
Quantum Strangeness: Wrestling with Bell's Theorem and the Ultimate Nature of Reality (The MIT Press)
Quantum Strangeness: Wrestling with Bell's Theorem and the Ultimate Nature of Reality (The MIT Press)
A physicist's efforts to understand the enigma that is quantum mechanics.

Quantum mechanics is one of the glories of our age. The theory lies at the heart of modern society. Quantum mechanics is one of our most valuable forecasters—a “great predictor.” It has immeasurably altered our conception of the...

The Physical Geography of Brazil: Environment, Vegetation and Landscape (Geography of the Physical Environment)
The Physical Geography of Brazil: Environment, Vegetation and Landscape (Geography of the Physical Environment)

This book presents the Brazilian natural space and environment. It describes the main environmental aspects of Brazil in relation to geology, climate, geomorphology, vegetation, fauna, water resources and environmental issues. 

The book presents a beautifully illustrated overview of the physical geography of the...

Algorithms in Java: Parts 1-4, Third Edition
Algorithms in Java: Parts 1-4, Third Edition

Sedgewick has a real gift for explaining concepts in a way that makes them easy to understand. The use of real programs in page-size (or less) chunks that can be easily understood is a real plus. The figures, programs, and tables are a significant contribution to the learning experience of the reader; they make this book...

Build Android-Based Smart Applications: Using Rules Engines, NLP and Automation Frameworks
Build Android-Based Smart Applications: Using Rules Engines, NLP and Automation Frameworks
Build smart applications using cutting-edge technologies such as rules engines, code automation frameworks, and natural language processing (NLP). This book provides step-by-step instructions on how to port nine rules engines (CLIPS, JRuleEngine, DTRules, Zilonis, TermWare, Roolie, OpenRules, JxBRE, and JEOPS) to the Android...
Algorithms on Strings
Algorithms on Strings
'perfect for lectures on 'stringology', for graduate students as a reference on the topic and for appliers in linguistic or molecular biology' Acta Scientiarum Mathematicarum

This text and reference on string processes and pattern matching presents examples related to the automatic processing of natural language, to the
...
Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries

Key Features

  • Implement Q-learning and Markov models with Python and OpenAI
  • Explore the power of TensorFlow to build self-learning models
  • Eight AI...
The I Love My Air Fryer Keto Diet Recipe Book: From Veggie Frittata to Classic Mini Meatloaf
The I Love My Air Fryer Keto Diet Recipe Book: From Veggie Frittata to Classic Mini Meatloaf
175 fast, easy, and delicious meals combining the hottest diet trend—the low-carb, high-fat keto diet—with the latest must-have kitchen appliance—the air fryer.

While an appliance that promises a lower-fat cooking method like the air fryer may seem counterintuitive to the high-fat keto diet,
...
Introduction to Artificial Intelligence (Undergraduate Topics in Computer Science)
Introduction to Artificial Intelligence (Undergraduate Topics in Computer Science)

Artificial Intelligence (AI) has the definite goal of understanding intelligence and building intelligent systems. However, the methods and formalisms used on the way to this goal are not firmly set, which has resulted in AI consisting of a multitude of subdisciplines today. The difficulty in an introductory AI course lies in conveying...

Logic of Analog and Digital Machines
Logic of Analog and Digital Machines
Computer Science is a very young discipline compared to most others. Alan Turing published the seminal paper of the field in 1936. Around the same time, the militaries in Germany, UK, and US commissioned the first digital electronic computer projects. One of these, the Colossus at Bletchley Park in the UK, was used to break the...
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