Computer / Bilgisayar

Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence Jon Krohn

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C++ Crash Course_ A Fast-Paced Introduction-No Starch Press (2019) Josh Lospinoso

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C++ Initialization Story_ A Guide Through All Initialization Options and Related C++ Areas (2022) Bartłomiej Filipek

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Command-Line Rust: A Project-Based Primer for Writing Rust CLIs 2024 Updated Edition Ken Youens-Clark

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Hacker's Delight 2nd Edition Henry Warren

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Rust Atomics and Locks: Low-Level Concurrency in Practice Mara Bos

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Real-Time C++: Efficient Object-Oriented and Template Microcontroller Programming 4th ed. Christopher Kormanyos

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Grokking Deep Reinforcement Learning-Manning Publications (2020) Miguel Morales

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Grokking Artificial Intelligence Algorithms (2020) Rishal Hurbans

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Grokking Machine Learning (2021) Luis Serrano

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Grokking Deep Learning (2019) Andrew W. Trask

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Geometry for Programmers Oleksandr Kaleniuk

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Math for Programmers_ 3D Graphics, Machine Learning and Simulations with Python (2020) Paul Orland

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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics Thomas Nield

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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python Mike Cohen

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Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems Hala Nelson

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The Elements of Computing Systems (2nd Ed.) Noam Nisan and Shimon Schocken

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Introduction to Design Patterns in C++ with Qt Alan Ezust 2nd Edition

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Programming Massively Parallel Processors_ A Hands-On Approach-Morgan Kaufmann (3rd Ed. - 2016) David B. Kirk, Wen-Mei W Hwu

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An Introduction to Parallel Programming (2nd Ed. - 2020) Peter Pacheco, Matthew Malensek

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An introduction to design patterns in C++ with Qt 4 Includes index (2006) Ezust, Alan_ Ezust, Paul

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Advanced QT programming creating great software with C++ and QT 4 (2010-2016) Summerfield, Mark

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Descriptive Complexity-Springer (1999) Neil Immerman

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Introduction to electrodynamics. Instructor's Solution Manual David J. Griffiths

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Programming in Objective-C 6th Edition Stephen Kochan

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Programming in C 4th Edition Stephen Kochan

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Head First Java: A Brain-Friendly Guide 3rd Edition Kathy Sierra

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Data Structures and Algorithms in Java 2nd Edition Robert Lafore

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Electronic Devices, Global Edition 10th Edition Thomas L. Floyd

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Essentials of International Relations Eighth Edition Karen A. Mingst

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A Complete Solution Guide to Principles of Mathematical Analysis (3rd Ed.) Walter Rudin by Kit-Wing Yu

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C++ Standard Library, The: A Tutorial and Reference 2nd Edition Nicolai M. Josuttis

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The C++ Standard Library: A Tutorial and Reference Nicolai M. Josuttis

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C++ Templates: The Complete Guide David Vandevoorde

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Machine Learning with Python for Everyone (Addison-Wesley Data & Analytics Series) Mark Fenner

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Modern JavaScript for the Impatient-Addison-Wesley Professional (2020) Cay S. Horstmann

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Big Java_ Early Objects, 7e-Wiley (2019) (7th Edition) Cay S. Horstmann

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Brief Java Early Objects-Wiley (9th Ed. - 2018) Cay S. Horstmann

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Python for Everyone 3rd Ed. Horstmann, Cay_ Necaise, Rance

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C++ for Everyone, 2nd Edition (2010) Cay S. Horstmann

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Advanced Topics in Java_ Core Concepts in Data Structures-Apress (2014) Noel Kalicharan

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Learn Java 12 Programming A step-by-step guide to learning essential concepts in Java SE 10, 11, and 12 Samoylov

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Beginning Java Data Structures and Algorithms_ Sharpen your problem solving skills by learning core computer science concepts in a pain-free manner-Packt Publishing (2018) James Cutajar

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Core Java SE 9 for the Impatient-Addison-Wesley (2018) Cay S. Horstmann

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Robotics, Vision and Control Fundamental Algorithms In MATLAB (Springer Tracts in Advanced Robotics, 118) 2nd ed. Peter Corke

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Modern Digital and Analog Communication Systems-Oxford University Press (2009) B. P. Lathi, Zhi Ding

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Core Java for the Impatient, 3rd Edition - Cay S. Horstmann

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Core Java, Volume I Fundamentals 12th Edition - Cay S. Horstmann

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Core Java, Volume II Advanced Features 12th Edition - Cay S. Horstmann

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Programming Scala_ Tackle Multi-Core Complexity on the Java Virtual Machine-Pragmatic Bookshelf (2009) Venkat Subramaniam -

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Elements of Programming Interviews in Python: The Insiders' Guide

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Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning Manu Joseph

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Test Driven Development: By Example Kent Beck

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C++ Templates: The Complete Guide 2nd Edition David Vandevoorde

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₺1.060,77

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Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions Gregor Hohpe

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Theory of Sets (Elements of Mathematics) (2004) Nicolas Bourbaki

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The Unity Shaders Bible: A linear explanation of shaders from beginner to advanced. Improve your game graphics with Unity and become a professional technical artist Jettelly Publishing

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Unity Game Optimization: Enhance and extend the performance of all aspects of your Unity games, 3rd Edition Dr. Davide Aversa

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General Topology Chapters 1–4 (Elements of Mathematics) (1995) Nicolas Bourbaki

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AI and Machine Learning Paradigms for Health Monitoring System: Intelligent Data Analytics (Studies in Big Data, 86) Hasmat Malik

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Machine Learning and AI for Healthcare Arjun Panesar

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Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow Abhinav Suri

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Natural Oral Care in Dental Therapy Durgesh Nandini Chauhan

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Data Science, AI, and Machine Learning in Drug Development (Chapman & Hall/CRC Biostatistics Series) Harry Yang

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Machine Learning and Deep Learning Techniques for Medical Science (Artificial Intelligence (AI): Elementary to Advanced Practices) K. Gayathri Devi

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PyTorch Pocket Reference: Building and Deploying Deep Learning Models Joe Papa

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Practical Machine Learning in R Fred Nwanganga

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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series) Kevin P. Murphy

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The Computer and the Brain (The Silliman Memorial Lectures Series) Third Edition John von Neumann

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Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play David Foster

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Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

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Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python Hariom Tatsat

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Hands-On Neuroevolution with Python: Build high-performing artificial neural network architectures using neuroevolution-based algorithms Iaroslav Omelianenko

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Hands-On Generative Adversarial Networks with PyTorch 1.x: Implement next-generation neural networks to build powerful GAN models using Python John Hany

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Dancing with Qubits: How quantum computing works and how it can change the world Robert S. Sutor

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Building Machine Learning Powered Applications: Going from Idea to Product Emmanuel Ameisen

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Practical MLOps: Operationalizing Machine Learning Models Gift Deza

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Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples Andrew P McMahon

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Machine Learning with R: Expert techniques for predictive modeling, 3rd Edition Brett Lantz

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