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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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  • Data Mining Applications with R - Yonghua Cen
    Data Mining Applications with R
    Yonghua Cen and Yanchang Zhao
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  • Cunning Machines : Your Pocket Guide to the World of Artificial Intelligence - J?drzej Osi?ski
    Cunning Machines
    Your Pocket Guide to the World of Artificial In...
    J?drzej Osi?ski
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  • Foundations of Machine Learning, second edition : Adaptive Computation and Machine Learning series - Mehryar Mohri
    Foundations of Machine Learning, second edition
    Adaptive Computation and Machine Learning series
    Mehryar Mohri, Afshin Rostamizadeh and Ameet Talwalkar
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  • Deterministic Learning Theory for Identification, Recognition, and Control : Automation and Control Engineering - Cong Wang
    Deterministic Learning Theory for Identification, Recognition, and Control
    Automation and Control Engineering
    Cong Wang and David J. Hill
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  • Bioinformatics Research and Applications : 15th International Symposium, ISBRA 2019, Barcelona, Spain, June 3-6, 2019, Proceedings - Zhipeng Cai
    Bioinformatics Research and Applications
    15th International Symposium, ISBRA 2019, Barce...
    Zhipeng Cai, Pavel Skums and Min Li
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  • Social, Cultural, and Behavioral Modeling : 12th International Conference, SBP-BRiMS 2019, Washington, DC, USA, July 9-12, 2019, Proceedings - Robert Thomson
    Social, Cultural, and Behavioral Modeling
    12th International Conference, SBP-BRiMS 2019, ...
    Robert Thomson, Halil Bisgin, Christopher Dancy and Ayaz Hyder
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  • Compressed Sensing and Its Applications : Third International MATHEON Conference 2017 - Holger Boche
    Compressed Sensing and Its Applications
    Third International MATHEON Conference 2017
    Holger Boche, Giuseppe Caire, Robert Calderbank, Gitta Kutyniok and Philipp Petersen
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  • Robot Intelligence Technology and Applications : 6th International Conference, RiTA 2018, Kuala Lumpur, Malaysia, December 16-18, 2018, Revised Selected Papers - Jong-Hwan Kim
    Robot Intelligence Technology and Applications
    6th International Conference, RiTA 2018, Kuala ...
    Jong-Hwan Kim, Hyung Myung and Seung-Mok Lee
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  • Pattern Recognition Applications and Methods : 7th International Conference, ICPRAM 2018, Funchal, Madeira, Portugal, January 16-18, 2018, Revised Selected Papers - Maria De Marsico
    Pattern Recognition Applications and Methods
    7th International Conference, ICPRAM 2018, Func...
    Maria De Marsico, Gabriella Sanniti di Baja and Ana Fred
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  • Smart Health : International Conference, ICSH 2019, Shenzhen, China, July 1-2, 2019, Proceedings - Hsinchun Chen
    Smart Health
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    Hsinchun Chen, Daniel Zeng, Xiangbin Yan and Chunxiao Xing
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  • NII Testbeds and Community for Information Access Research : 14th International Conference, NTCIR 2019, Tokyo, Japan, June 10-13, 2019, Revised Selected Papers - Makoto P. Kato
    NII Testbeds and Community for Information Access Research
    14th International Conference, NTCIR 2019, Toky...
    Makoto P. Kato, Yiqun Liu, Noriko Kando and Charles L. A. Clarke
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  • Information, Communication and Computing Technology : 4th International Conference, ICICCT 2019, New Delhi, India, May 11, 2019, Revised Selected Papers - Abdullah Bin Gani
    Information, Communication and Computing Technology
    4th International Conference, ICICCT 2019, New ...
    Abdullah Bin Gani, Pradip Kumar Das, Latika Kharb and Deepak Chahal
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  • Data Mining : 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2-5, 2019, Proceedings - Thuc D. Le
    Data Mining
    17th Australasian Conference, AusDM 2019, Adela...
    Thuc D. Le, Kok-Leong Ong, Yanchang Zhao, Warren H. Jin and Graham Williams
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  • Computer Vision Applications : Third Workshop, WCVA 2018, Held in Conjunction with ICVGIP 2018, Hyderabad, India, December 18, 2018, Revised Selected Papers - Chetan Arora
    Computer Vision Applications
    Third Workshop, WCVA 2018, Held in Conjunction ...
    Chetan Arora and Kaushik Mitra
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  • Big Data : 7th CCF Conference, BigData 2019, Wuhan, China, September 26-28, 2019, Proceedings - Hai Jin
    Big Data
    7th CCF Conference, BigData 2019, Wuhan, China,...
    Hai Jin, Xuemin Lin, Xueqi Cheng, Xuanhua Shi and Yihua Huang
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  • Hands-on Scikit-Learn for Machine Learning Applications : Data Science Fundamentals with Python - David Paper
    Hands-on Scikit-Learn for Machine Learning Applications
    Data Science Fundamentals with Python
    David Paper
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  • Machine Learning, Optimization, and Data Science : 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers - Giuseppe Nicosia
    Machine Learning, Optimization, and Data Science
    4th International Conference, LOD 2018, Volterr...
    Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton and Vincenzo Sciacca
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  • Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval - Dengsheng Zhang
    Fundamentals of Image Data Mining
    Analysis, Features, Classification and Retrieval
    Dengsheng Zhang
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  • Advances in Quantitative Ethnography : First International Conference, ICQE 2019, Madison, WI, USA, October 20-22, 2019, Proceedings - Brendan Eagan
    Advances in Quantitative Ethnography
    First International Conference, ICQE 2019, Madi...
    Brendan Eagan, Morten Misfeldt and Amanda Siebert-Evenstone
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  • Human Mental Workload: Models and Applications : Third International Symposium, H-WORKLOAD 2019, Rome, Italy, November 14-15, 2019, Proceedings - Luca Longo
    Human Mental Workload: Models and Applications
    Third International Symposium, H-WORKLOAD 2019,...
    Luca Longo and Maria Chiara Leva
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  • Azure Internet of Things Revealed : Architecture and Fundamentals - Robert Stackowiak
    Azure Internet of Things Revealed
    Architecture and Fundamentals
    Robert Stackowiak
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  • Proceedings of ICETIT 2019 : Emerging Trends in Information Technology - Pradeep Kumar Singh
    Proceedings of ICETIT 2019
    Emerging Trends in Information Technology
    Pradeep Kumar Singh, Bijaya Ketan Panigrahi, Nagender Kumar Suryadevara, Sudhir Kumar Sharma and Amit Prakash Singh
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  • Neural Approaches to Dynamics of Signal Exchanges : Intelligent Technologies and Robotics (R0) - Anna Esposito
    Neural Approaches to Dynamics of Signal Exchanges
    Intelligent Technologies and Robotics (R0)
    Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito and Eros Pasero
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  • Radar Signal Processing for Autonomous Driving : Engineering (R0) - Jonah Gamba
    Radar Signal Processing for Autonomous Driving
    Engineering (R0)
    Jonah Gamba
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  • Intelligent Random Walk : An Approach Based on Learning Automata - Ali Mohammad Saghiri
    Intelligent Random Walk
    An Approach Based on Learning Automata
    Ali Mohammad Saghiri, M. Daliri Khomami and Mohammad Reza Meybodi
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  • Machine Learning and Artificial Intelligence : Engineering (R0) - Ameet V Joshi
    Machine Learning and Artificial Intelligence
    Engineering (R0)
    Ameet V Joshi
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  • Machine Learning Paradigms : Applications of Learning and Analytics in Intelligent Systems - George A. Tsihrintzis
    Machine Learning Paradigms
    Applications of Learning and Analytics in Intel...
    George A. Tsihrintzis, Maria Virvou, Evangelos Sakkopoulos and Lakhmi C. Jain
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  • Learn PySpark : Build Python-based Machine Learning and Deep Learning Models - Pramod Singh
    Learn PySpark
    Build Python-based Machine Learning and Deep Le...
    Pramod Singh
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  • Building an Enterprise Chatbot : Work with Protected Enterprise Data Using Open Source Frameworks - Abhishek Singh
    Building an Enterprise Chatbot
    Work with Protected Enterprise Data Using Open ...
    Abhishek Singh, Karthik Ramasubramanian and Shrey Shivam
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  • Building Microservices Applications on Microsoft Azure : Designing, Developing, Deploying, and Monitoring - Harsh Chawla
    Building Microservices Applications on Microsoft Azure
    Designing, Developing, Deploying, and Monitoring
    Harsh Chawla and Hemant Kathuria
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  • Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II - Alessandro Crimi
    Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
    4th International Workshop, BrainLes 2018, Held...
    Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Farahani Keyvan and Theo van Walsum
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  • Theoretical Aspects of Computing - ICTAC 2019 : 16th International Colloquium, Hammamet, Tunisia, October 31 - November 4, 2019, Proceedings - Robert Mark Hierons
    Theoretical Aspects of Computing - ICTAC 2019
    16th International Colloquium, Hammamet, Tunisi...
    Robert Mark Hierons and Mohamed Mosbah
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  • Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I - Alessandro Crimi
    Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
    4th International Workshop, BrainLes 2018, Held...
    Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Farahani Keyvan and Theo van Walsum
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  • Advanced State Space Methods for Neural and Clinical Data - Zhe Chen
    Advanced State Space Methods for Neural and Clinical Data
    Zhe Chen
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  • Deep Learning for the Life Sciences : Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More - Bharath Ramsundar
    Deep Learning for the Life Sciences
    Applying Deep Learning to Genomics, Microscopy,...
    Bharath Ramsundar, Peter Eastman, Pat Walters and Vijay Pande
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  • Utility-Based Learning from Data : Chapman & Hall/CRC Machine Learning & Pattern Recognition - Craig Friedman
    Utility-Based Learning from Data
    Chapman & Hall/CRC Machine Learning & Pattern R...
    Craig Friedman and Sven Sandow
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    $92.39
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  • Apache Spark Deep Learning Cookbook : Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow - Ahmed Sherif
    Apache Spark Deep Learning Cookbook
    Over 80 best practice recipes for the distribut...
    Ahmed Sherif, Amrith Ravindra, Michal Malohlava and Adnan Masood
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  • TensorFlow Machine Learning Cookbook : Over 60 recipes to build intelligent machine learning systems with the power of Python - Nick McClure
    TensorFlow Machine Learning Cookbook
    Over 60 recipes to build intelligent machine le...
    Nick McClure and Sujit Pal
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  • Designing Robot Behavior in Human-Robot Interactions - Changliu Liu
    Designing Robot Behavior in Human-Robot Interactions
    Changliu Liu, Te Tang, Hsien-Chung Lin and Masayoshi Tomizuka
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  • Applied Machine Learning for Smart Data Analysis : Computational Intelligence in Engineering Problem Solving - Nilanjan Dey
    Applied Machine Learning for Smart Data Analysis
    Computational Intelligence in Engineering Probl...
    Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle and Mohd. Shafi Pathan
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  • Neural Networks for Hydrological Modeling - Robert Abrahart
    Neural Networks for Hydrological Modeling
    Robert Abrahart
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  • Time and Causality across the Sciences - Samantha Kleinberg
    Time and Causality across the Sciences
    Samantha Kleinberg
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  • Security Analytics for the Internet of Everything - Mohuiddin Ahmed
    Security Analytics for the Internet of Everything
    Mohuiddin Ahmed, Abu S.S.M Barkat Ullah and Al-Sakib Khan Pathan
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  • Computational Intelligence in Telecommunications Networks - Witold Pedrycz
    Computational Intelligence in Telecommunications Networks
    Witold Pedrycz
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  • Feature Engineering and Selection : A Practical Approach for Predictive Models - Max Kuhn
    Feature Engineering and Selection
    A Practical Approach for Predictive Models
    Max Kuhn and Kjell Johnson
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  • Compressed Sensing for Engineers : Devices, Circuits, and Systems - Angshul Majumdar
    Compressed Sensing for Engineers
    Devices, Circuits, and Systems
    Angshul Majumdar
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  • Geospatial Data Science Techniques and Applications - Hassan A. Karimi and Bobak Karimi
    Geospatial Data Science Techniques and Applications
    Hassan A. Karimi and Bobak Karimi
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  • Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems : Novel Methods for Condition Monitoring and Diagnostics - Hasmat Malik
    Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems
    Novel Methods for Condition Monitoring and Diag...
    Hasmat Malik, Atif Iqbal and Amit Kumar Yadav
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  • The Age of Em : Work, Love, and Life when Robots Rule the Earth - Robin Hanson
    The Age of Em
    Work, Love, and Life when Robots Rule the Earth
    Robin Hanson
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  • Computational Vision and Bio-Inspired Computing : ICCVBIC 2019 - S. Smys
    Computational Vision and Bio-Inspired Computing
    ICCVBIC 2019
    S. Smys, João Manuel R. S. Tavares, Valentina Emilia Balas and Abdullah M. Iliyasu
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  • Reinforcement Learning : An Introduction - Richard S. Sutton
    Reinforcement Learning
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    Richard S. Sutton and Andrew G. Barto
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  • Statistical Methods for Recommender Systems - Deepak K. Agarwal
    Statistical Methods for Recommender Systems
    Deepak K. Agarwal and Bee-Chung Chen
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  • Building Machine Learning Powered Applications : Going from Idea to Product - Emmanuel Ameisen
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  • Intelligent Music Production : Audio Engineering Society Presents - Brecht De Man
    Intelligent Music Production
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    Brecht De Man, Ryan Stables and Joshua D. Reiss
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  • Computational Bayesian Statistics : An Introduction - M. Antónia Amaral Turkman
    Computational Bayesian Statistics
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    M. Antónia Amaral Turkman, Carlos Daniel Paulino and Peter Müller
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    Molly Wright Steenson
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  • Smart Data : State-of-the-Art Perspectives in Computing and Applications - Kuan-Ching Li
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    Kuan-Ching Li, Beniamino Di Martino, Laurence T. Yang and Qingchen Zhang
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  • Adversarial Machine Learning - Anthony D. Joseph
    Adversarial Machine Learning
    Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein and J. D. Tygar
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  • Social Media Analytics for User Behavior Modeling : A Task Heterogeneity Perspective - Arun Reddy Nelakurthi
    Social Media Analytics for User Behavior Modeling
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    Arun Reddy Nelakurthi and Jingrui He
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  • Algebraic Geometry and Statistical Learning Theory : Cambridge Monographs on Applied and Computational Mathematics : Book 25 - Sumio Watanabe
    Algebraic Geometry and Statistical Learning Theory
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    Sumio Watanabe
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  • Experiment and Evaluation in Information Retrieval Models - K. Latha
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    K. Latha
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  • Meta-Analytics : Consensus Approaches and System Patterns for Data Analysis - Steven Simske
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  • Human Behavior Learning and Transfer - Yangsheng Xu
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  • Computational Context : The Value, Theory and Application of Context with AI - William F. Lawless
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    William F. Lawless, Ranjeev Mittu and Donald Sofge
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  • Robot Sex : Social and Ethical Implications - John Danaher
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    John Danaher and Neil McArthur
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  • Mathematical Analysis For Machine Learning And Data Mining - Dan A Simovici
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    Dan A Simovici
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  • How We Learn : The New Science of Education and the Brain - Stanislas Dehaene
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    Stanislas Dehaene
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  • Mastering Machine Learning Algorithms : Expert techniques to implement popular machine learning algorithms and fine-tune your models - Giuseppe Bonaccorso
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