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eBooks > Non-Fiction > Computing & I.T. > Computer Science > Artificial Intelligence > Machine Learning
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Machine Learning

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  • Learning TensorFlow.js - Gant Laborde
    Learning TensorFlow.js
    Gant Laborde
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  • Variational Methods for Machine Learning with Applications to Deep Networks : Engineering (R0) - Lucas Pinheiro Cinelli
    Variational Methods for Machine Learning with Applications to Deep Networks
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    Lucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva and Sérgio Lima Netto
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  • PyTorch Pocket Reference - Joe Papa
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    Joe Papa
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  • Computational Intelligence in Healthcare : Computer Science (R0) - Amit Kumar Manocha
    Computational Intelligence in Healthcare
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    Amit Kumar Manocha, Shruti Jain, Mandeep Singh and Sudip Paul
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  • Applied Natural Language Processing in the Enterprise - Ankur A. Patel
    Applied Natural Language Processing in the Enterprise
    Ankur A. Patel and Ajay Uppili Arasanipalai
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  • Probabilistic Machine Learning : An Introduction - Kevin P. Murphy
    Probabilistic Machine Learning
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    Kevin P. Murphy
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  • Business Intelligence : 6th International Conference, CBI 2021, Beni Mellal, Morocco, May 27-29, 2021, Proceedings - Mohamed Fakir
    Business Intelligence
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    Mohamed Fakir, Mohamed Baslam and Rachid El Ayachi
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  • Discrete Geometry and Mathematical Morphology : First International Joint Conference, DGMM 2021, Uppsala, Sweden, May 24-27, 2021, Proceedings - Joakim Lindblad
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    Joakim Lindblad, Filip Malmberg and Nataša Sladoje
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  • Elements of Deep Learning for Computer Vision : Explore Deep Neural Network Architectures, PyTorch, Object Detection Algorithms, and Computer Vision Applications for Python Coders (English Edition) - Bharat Sikka
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  • Digital Interaction and Machine Intelligence : Proceedings of MIDI'2020 - 8th Machine Intelligence and Digital Interaction Conference, December 9-10, 2020, Warsaw, Poland (online) - Cezary Biele
    Digital Interaction and Machine Intelligence
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    Cezary Biele, Janusz Kacprzyk, Jan W. Owsi?ski, Andrzej Romanowski and Marcin Sikorski
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  • Synthetic Data for Deep Learning : Computer Science (R0) - Sergey I. Nikolenko
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    Sergey I. Nikolenko
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  • Advances in Artificial Intelligence and Security : 7th International Conference, ICAIS 2021, Dublin, Ireland, July 19-23, 2021, Proceedings, Part I - Xingming Sun
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  • Machine Learning Forensics for Law Enforcement, Security, and Intelligence - Jesus Mena
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    Jesus Mena
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  • COVID-19 Public Health Measures : An Augmented Reality Perspective - Nuzhat F. Shaikh
    COVID-19 Public Health Measures
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    Nuzhat F. Shaikh, Ajinkya Kunjir, Juveriya Shaikh and Parikshit Narendra Mahalle
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  • Big Data and Artificial Intelligence for Healthcare Applications : Big Data for Industry 4.0 - Ankur Saxena
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  • Provenance in Data Science : From Data Models to Context-Aware Knowledge Graphs - Leslie F. Sikos
    Provenance in Data Science
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    Leslie F. Sikos, Oshani W. Seneviratne and Deborah L. McGuinness
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  • Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough : Latest Trends in AI, Volume 2 - Vinit Kumar Gunjan
    Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough
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  • Artificial Intelligence Applications for Smart Societies : Recent Advances - Mohamed Elhoseny
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  • Explainable AI with Python : Computer Science (R0) - Leonida Gianfagna
    Explainable AI with Python
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  • Introduction to Machine Learning in the Cloud with Python : Concepts and Practices - Pramod Gupta
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    Pramod Gupta and Naresh K. Sehgal
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  • Machine Learning Approaches for Urban Computing : Intelligent Technologies and Robotics (R0) - Mainak Bandyopadhyay
    Machine Learning Approaches for Urban Computing
    Intelligent Technologies and Robotics (R0)
    Mainak Bandyopadhyay, Minakhi Rout and Suresh Chandra Satapathy
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  • Spectroscopy and Machine Learning for Water Quality Analysis : IOP Series in Spectroscopic Methods and Applications - Ashutosh Kumar Shukla
    Spectroscopy and Machine Learning for Water Quality Analysis
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    Ashutosh Kumar Shukla
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  • Math for Deep Learning : What You Need to Know to Understand Neural Networks - Ronald T. Kneusel
    Math for Deep Learning
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    Ronald T. Kneusel
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  • Industry 4.0, AI, and Data Science : Research Trends and Challenges - Vikram Bali
    Industry 4.0, AI, and Data Science
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    Vikram Bali
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  • Inventive Systems and Control : Proceedings of ICISC 2021 - V. Suma
    Inventive Systems and Control
    Proceedings of ICISC 2021
    V. Suma, Joy Iong-Zong Chen, Zubair Baig and Haoxiang Wang
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  • The Essentials of Machine Learning in Finance and Accounting : Routledge Advanced Texts in Economics and Finance - Mohammad Zoynul Abedin
    The Essentials of Machine Learning in Finance and Accounting
    Routledge Advanced Texts in Economics and Finance
    Mohammad Zoynul Abedin
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  • Robot Learning Human Skills and Intelligent Control Design - Chenguang Yang
    Robot Learning Human Skills and Intelligent Control Design
    Chenguang Yang, Chao Zeng and Jianwei Zhang
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  • Dancing With Robots : The 29 Strategies for Success In the Age of AI and Automation - Bill Bishop
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    Bill Bishop
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  • Transfer Learning through Embedding Spaces - Mohammad Rostami
    Transfer Learning through Embedding Spaces
    Mohammad Rostami
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  • Handbook of Big Geospatial Data : Mathematics and Statistics (R0) - Martin Werner
    Handbook of Big Geospatial Data
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    Martin Werner and Yao-Yi Chiang
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  • Think Bayes - Allen B. Downey
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  • Restless Multi-Armed Bandit in Opportunistic Scheduling : Engineering (R0) - Kehao Wang
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  • Machine Learning and Analytics in Healthcare Systems : Principles and Applications - Himani Bansal
    Machine Learning and Analytics in Healthcare Systems
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    Himani Bansal, Balamurugan Balusamy, T. Poongodi and Firoz Khan KP
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  • Text Data Mining : Computer Science (R0) - Chengqing Zong
    Text Data Mining
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    Chengqing Zong, Rui Xia and Jiajun Zhang
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  • Machine Learning, Big Data, and IoT for Medical Informatics : Intelligent Data-Centric Systems - Pardeep Kumar
    Machine Learning, Big Data, and IoT for Medical Informatics
    Intelligent Data-Centric Systems
    Fatos Xhafa, Pardeep Kumar, Yugal Kumar and Mohamed A. Tawhid
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  • Functional Imaging and Modeling of the Heart : 11th International Conference, FIMH 2021, Stanford, CA, USA, June 21-25, 2021, Proceedings - Daniel B. Ennis
    Functional Imaging and Modeling of the Heart
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  • Machine Learning in Elite Volleyball : Integrating Performance Analysis, Competition and Training Strategies - Rabiu Muazu Musa
    Machine Learning in Elite Volleyball
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    Rabiu Muazu Musa, Anwar P. P. Abdul Majeed, Muhammad Zuhaili Suhaimi, Mohd Azraai Mohd Razman and Noor Azuan Abu Osman
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  • Artificial Intelligence : Fundamentals and Applications - Cherry Bhargava
    Artificial Intelligence
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    Cherry Bhargava and Pradeep Kumar Sharma
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  • Natural Language Processing and Information Systems : 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrucken, Germany, June 23-25, 2021, Proceedings - Elisabeth Métais
    Natural Language Processing and Information Systems
    26th International Conference on Applications o...
    Elisabeth Métais, Farid Meziane, Helmut Horacek and Epaminondas Kapetanios
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  • Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare - Varun Bajaj
    Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare
    Varun Bajaj and G. R. Sinha
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  • Python and R for the Modern Data Scientist - Rick J. Scavetta
    Python and R for the Modern Data Scientist
    Rick J. Scavetta and Boyan Angelov
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  • An Intuitive Exploration of Artificial Intelligence : Theory and Applications of Deep Learning - Simant Dube
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  • Handbook of Reinforcement Learning and Control : Intelligent Technologies and Robotics (R0) - Kyriakos G. Vamvoudakis
    Handbook of Reinforcement Learning and Control
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    Kyriakos G. Vamvoudakis, Yan Wan, Frank L. Lewis and Derya Cansever
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  • Energy Management : Big Data in Power Load Forecasting - Valentin A. Boicea
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  • Machine Learning for Oracle Database Professionals : Deploying Model-Driven Applications and Automation Pipelines - Heli Helskyaho
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    Carl Gold
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  • Machine Learning in Medicine : Chapman & Hall/CRC Healthcare Informatics Series - Ayman El-Baz
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  • Advanced Machine Learning Approaches in Cancer Prognosis : Challenges and Applications - Janmenjoy Nayak
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    Janmenjoy Nayak, Margarita N. Favorskaya, Seema Jain, Bighnaraj Naik and Manohar Mishra
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  • Proceedings of International Conference on Scientific and Natural Computing : Proceedings of SNC 2021 - Author
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    Uttam Ghosh, Yassine Maleh, Mamoun Alazab and Al-Sakib Khan Pathan
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