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Books > Non-Fiction > Computing & I.T. > Computer Science > Artificial Intelligence > Machine Learning
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  • Deep Machine Learning : A Comprehensive Beginner Developer Guide to Deep Machine Learning Algorithms, Concepts and Techniques - Joe Grant
    Deep Machine Learning
    A Comprehensive Beginner Developer Guide to Dee...
    Joe Grant
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  • Lecture Notes in Computer Science : 17th International Conference, San Jos©, CA, USA, August 21-26, 2023, Proceedings, Part I - Gernot A. Fink
    Lecture Notes in Computer Science
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    Gernot A. Fink, Rajiv Jain and Koichi Kise
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  • Lecture Notes in Computer Science : 17th International Conference, San Jose, CA, USA, August 21-26, 2023, Proceedings, Part IV - Gernot A. Fink
    Lecture Notes in Computer Science
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  • Lecture Notes in Computer Science : 17th International Conference, San Jos©, CA, USA, August 21-26, 2023, Proceedings, Part V - Gernot A. Fink
    Lecture Notes in Computer Science
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    Gernot A. Fink, Rajiv Jain and Koichi Kise
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    $229.00
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  • Advanced Information and Knowledge Processing : From Data Models to Context-Aware Knowledge Graphs - Deborah L. McGuinness
    Advanced Information and Knowledge Processing
    From Data Models to Context-Aware Knowledge Graphs
    Deborah L. McGuinness, Oshani W. Seneviratne and Leslie F. Sikos
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  • Adversarial Machine Learning : Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence - Aneesh Sreevallabh Chivukula
    Adversarial Machine Learning
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    Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu, Wanlei Zhou and Bo Liu
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  • Artificial Intelligence in Medical Sciences and Psychology : With Application of Machine Language, Computer Vision, and Nlp Techniques - Tshepo Chris Nokeri
    Artificial Intelligence in Medical Sciences and Psychology
    With Application of Machine Language, Computer ...
    Tshepo Chris Nokeri
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  • Artificial Intelligence Driven Materials Design - Piyush Tagade
    Artificial Intelligence Driven Materials Design
    Piyush Tagade and Shashishekar P. Adiga
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  • Lecture Notes in Business Information Processing : 7th International Conference, CBI 2022, Khouribga, Morocco, May 26â
    Lecture Notes in Business Information Processing
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    Mohamed Baslam, Rachid El Ayachi and Mohamed Fakir
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  • Artificial Intelligence and National Security - Reza Montasari
    Artificial Intelligence and National Security
    Reza Montasari
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  • Hands-On Aiops : Best Practices Guide to Implementing Aiops - Gaurav Bhardwaj
    Hands-On Aiops
    Best Practices Guide to Implementing Aiops
    Gaurav Bhardwaj and Navin Sabharwal
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  • Computer Vision Projects with Pytorch : Design and Develop Production-Grade Models - Adarsha Shivananda
    Computer Vision Projects with Pytorch
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    Adarsha Shivananda, Nitin Ranjan Sharma and Akshay Kulkarni
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  • Raspberry Pi Image Processing Programming : With Numpy, Scipy, Matplotlib, and Opencv - Ashwin Pajankar
    Raspberry Pi Image Processing Programming
    With Numpy, Scipy, Matplotlib, and Opencv
    Ashwin Pajankar
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  • Water Science and Technology Library : Exploring Linkages - Aliva Nanda
    Water Science and Technology Library
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    Aliva Nanda, Vivek Gupta, Swatantra Kumar Dubey, Prakash Kumar Jha and Pankaj Kumar Gupta
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  • Machine Learning and Artificial Intelligence - Ameet V Joshi
    Machine Learning and Artificial Intelligence
    Ameet V Joshi
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  • Springer Actuarial : Springer Actuarial - Mario V. Wuthrich
    Springer Actuarial
    Springer Actuarial
    Mario V. Wuthrich and Michael Merz
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  • Algorithms for Intelligent Systems : Proceedings of ICSISCET 2020 - Bijaya Ketan Panigrahi
    Algorithms for Intelligent Systems
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    Bijaya Ketan Panigrahi, Manjaree Pandit, Laxmi Srivastava and Hari Mohan Dubey
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  • Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches - Antonio Lepore
    Interpretability for Industry 4.0
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    Antonio Lepore, Jean-Michel Poggi and Biagio Palumbo
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  • Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide - Eva Bartz
    Hyperparameter Tuning for Machine and Deep Learning with R
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    Eva Bartz, Thomas Bartz-Beielstein, Olaf Mersmann and Martin Zaefferer
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    Machine Learning
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    Jaydip Sen
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  • Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide - Eva Bartz
    Hyperparameter Tuning for Machine and Deep Learning with R
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    Eva Bartz, Thomas Bartz-Beielstein, Olaf Mersmann and Martin Zaefferer
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  • Communications in Computer and Information Science : 6th International Conference, ICACDS 2022, Kurnool, India, April 22-23, 2022, Revised Selected Papers, Part II - Jan Flusser
    Communications in Computer and Information Science
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    Jan Flusser, Vipin Tyagi, Tuncer Oren, P. K. Gupta and Mayank Singh
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  • Intelligent Systems Reference Library : Foundations, Methodologies and Applications - Indranath Chatterjee
    Intelligent Systems Reference Library
    Foundations, Methodologies and Applications
    Indranath Chatterjee, Vasile Palade and Mayuri Mehta
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  • Deep IV in Law : Appellate Decisions and Texts Impact Sentencing in Trial Courts - Zhe Huang
    Deep IV in Law
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    Zhe Huang, Xinyue Zhang, Ruofan Wang and Daniel L. Chen
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  • Bayesian Optimization - Roman Garnett
    Bayesian Optimization
    Roman Garnett
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    Synthesis Lectures on Human Language Technologies
    Synthesis Lectures on Human Language Technologies
    Claire Gardent and Shashi Narayan
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    The Data Path Less Traveled
    Step up Creativity using Heuristics in Data Sci...
    Zacharias Voulgaris
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  • Synthesis Lectures on Artificial Intelligence and Machine Le : Synthesis Lectures on Artificial Intelligence and Machine Learning - Kajal Singh
    Synthesis Lectures on Artificial Intelligence and Machine Le
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    Kajal Singh, Philip Osborne and Matthew E. Taylor
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    AI Time Series Control System Modelling
    Chuzo Ninagawa
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    Statistical Methods for Annotation Analysis
    Synthesis Lectures on Human Language Technologies
    Massimo Poesio, Silviu Paun and Ron Artstein
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    Synthetic Data for Deep Learning
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    Esma Birisci, Sadullah Celik and Necmi Gursakal
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    Productionizing AI
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    Barry Walsh
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  • Reinforcement Learning for Finance : Solve Problems in Finance with CNN and Rnn Using the Tensorflow Library - Samit Ahlawat
    Reinforcement Learning for Finance
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    Samit Ahlawat
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    Introduction to Transformers for Nlp
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    Shashank Mohan Jain
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  • Unsupervised and Semi-Supervised Learning : Methods, Applications, and Case Studies - Anis Jarboui
    Unsupervised and Semi-Supervised Learning
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    Anis Jarboui, Ibraheem Alharbi, Chiheb-Eddine Ben Ncir and Bader Alyoubi
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    Lecture Notes in Electrical Engineering
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    Studies in Infrastructure and Control
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    International Operations Research & Management Science
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    Pro Deep Learning with Tensorflow 2.0
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    Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling
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    Proximity and Epidata
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    Practical Business Analytics Using R and Python
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    Umesh R. Hodeghatta and Umesha Nayak
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    Lecture Notes in Computer Science
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    Data Science and Predictive Analytics
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    Computational Advances in Bio and Medical Sciences
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  • Machine Learning Safety : Foundations, Theory, and Algorithms - Gaojie Jin
    Machine Learning Safety
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    Exponential Families in Theory and Practice
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