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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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  • Intelligent Computing and Block Chain : First BenchCouncil International Federated Conferences, FICC 2020, Qingdao, China, October 30 - November 3, 2020, Revised Selected Papers - Wanling Gao
    Intelligent Computing and Block Chain
    First BenchCouncil International Federated Conf...
    Wanling Gao, Kai Hwang, Changyun Wang , Weiping Li and Zhifei Zhang
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  • Deep Learning and Linguistic Representation : Chapman & Hall/CRC Machine Learning & Pattern Recognition - Shalom Lappin
    Deep Learning and Linguistic Representation
    Chapman & Hall/CRC Machine Learning & Pattern R...
    Shalom Lappin
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  • The Application of Artificial Intelligence : Step-by-Step Guide from Beginner to Expert - Zoltán Somogyi
    The Application of Artificial Intelligence
    Step-by-Step Guide from Beginner to Expert
    Zoltán Somogyi
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  • AI and Machine Learning Paradigms for Health Monitoring System : Intelligent Data Analytics - Hasmat Malik
    AI and Machine Learning Paradigms for Health Monitoring System
    Intelligent Data Analytics
    Hasmat Malik, Nuzhat Fatema and Jafar A. Alzubi
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  • Mobile Communication Networks : 5G and a Vision of 6G - Mladen Božanić
    Mobile Communication Networks
    5G and a Vision of 6G
    Mladen Božanić and Saurabh Sinha
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  • Microsoft Conversational AI Platform for Developers : End-to-End Chatbot Development from Planning to Deployment - Stephan Bisser
    Microsoft Conversational AI Platform for Developers
    End-to-End Chatbot Development from Planning to...
    Stephan Bisser
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  • Artificial Intelligence Foundations : Learning from experience - Andrew Lowe
    Artificial Intelligence Foundations
    Learning from experience
    Andrew Lowe and Steve Lawless
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  • Australian Stories
  • Generative Adversarial Networks for Image Generation : Mathematics and Statistics (R0) - Xudong Mao
    Generative Adversarial Networks for Image Generation
    Mathematics and Statistics (R0)
    Xudong Mao and Qing Li
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  • Recent Trends in Image Processing and Pattern Recognition : Third International Conference, RTIP2R 2020, Aurangabad, India, January 3-4, 2020, Revised Selected Papers, Part II - K. C. Santosh
    Recent Trends in Image Processing and Pattern Recognition
    Third International Conference, RTIP2R 2020, Au...
    K. C. Santosh and Bharti Gawali
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  • Deep Learning for Hyperspectral Image Analysis and Classification : Computer Science (R0) - Linmi Tao
    Deep Learning for Hyperspectral Image Analysis and Classification
    Computer Science (R0)
    Linmi Tao and Atif Mughees
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  • Deep Learning and Physics : Physics and Astronomy (R0) - Akinori Tanaka
    Deep Learning and Physics
    Physics and Astronomy (R0)
    Akinori Tanaka, Akio Tomiya and Koji Hashimoto
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  • Translational Bioinformatics Applications in Healthcare : Intelligent Signal Processing and Data Analysis - Khalid Raza
    Translational Bioinformatics Applications in Healthcare
    Intelligent Signal Processing and Data Analysis
    Khalid Raza and Nilanjan Dey
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  • Artificial Intelligence in Sport Performance Analysis - Duarte Araújo
    Artificial Intelligence in Sport Performance Analysis
    Duarte Araújo, Ludovic Seifert, Hugo Sarmento, Keith Davids and Micael Couceiro
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  • Pattern Recognition. ICPR International Workshops and Challenges : Virtual Event, January 10-15, 2021, Proceedings, Part II - Alberto Del Bimbo
    Pattern Recognition. ICPR International Workshops and Challenges
    Virtual Event, January 10-15, 2021, Proceedings...
    Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella and Roberto Vezzani
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  • Proceedings of International Conference on Scientific and Natural Computing : Proceedings of SNC 2021 - Dipti Singh
    Proceedings of International Conference on Scientific and Natural Computing
    Proceedings of SNC 2021
    Dipti Singh, Amit K. Awasthi, Ivan Zelinka and Kusum Deep
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  • Machine Intelligence and Data Analytics for Sustainable Future Smart Cities : Intelligent Technologies and Robotics (R0) - Uttam Ghosh
    Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
    Intelligent Technologies and Robotics (R0)
    Uttam Ghosh, Yassine Maleh, Mamoun Alazab and Al-Sakib Khan Pathan
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  • Math for Deep Learning : What You Need to Know to Understand Neural Networks - Ronald T. Kneusel
    Math for Deep Learning
    What You Need to Know to Understand Neural Netw...
    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
    Research Trends and Challenges
    Vikram Bali, Kakoli Banerjee, Narendra Kumar, Sanjay Gour and Sunil Kumar Chawla
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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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  • Data Driven Approach Towards Disruptive Technologies : Proceedings of MIDAS 2020 - T P Singh
    Data Driven Approach Towards Disruptive Technologies
    Proceedings of MIDAS 2020
    T P Singh, Ravi Tomar, Tanupriya Choudhury, Thinagaran Perumal and Hussain Falih Mahdi
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  • Data Science on AWS : Implementing End-to-End, Continuous AI and Machine Learning Pipelines - Chris Fregly
    Data Science on AWS
    Implementing End-to-End, Continuous AI and Mach...
    Chris Fregly and Antje Barth
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  • Data Orchestration in Deep Learning Accelerators : Synthesis Lectures on Computer Architecture - Tushar Krishna
    Data Orchestration in Deep Learning Accelerators
    Synthesis Lectures on Computer Architecture
    Tushar Krishna, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer and Ananda Samajdar
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  • BIM-enabled Cognitive Computing for Smart Built Environment : Potential, Requirements, and Implementation - Ibrahim Yitmen
    BIM-enabled Cognitive Computing for Smart Built Environment
    Potential, Requirements, and Implementation
    Ibrahim Yitmen
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  • Practical Machine Learning for Streaming Data with Python : Design, Develop, and Validate Online Learning Models - Sayan Putatunda
    Practical Machine Learning for Streaming Data with Python
    Design, Develop, and Validate Online Learning M...
    Sayan Putatunda
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  • Deep Learning with Python : Learn Best Practices of Deep Learning Models with PyTorch - Nikhil Ketkar
    Deep Learning with Python
    Learn Best Practices of Deep Learning Models wi...
    Nikhil Ketkar and Jojo Moolayil
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  • Analysis of Images, Social Networks and Texts : 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020, Revised Selected Papers - Wil M. P. van der Aalst
    Analysis of Images, Social Networks and Texts
    9th International Conference, AIST 2020, Skolko...
    Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay and Elena Tutubalina
    eText
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  • Digital Transformation in Accounting : Business and Digital Transformation - Richard Busulwa
    Digital Transformation in Accounting
    Business and Digital Transformation
    Richard Busulwa
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    $92.39
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  • Testing and Assessment of Interpreting : Recent Developments in China - Jing Chen
    Testing and Assessment of Interpreting
    Recent Developments in China
    Jing Chen and Chao Han
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    $219.00
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  • Business Intelligence : 6th International Conference, CBI 2021, Beni Mellal, Morocco, May 27-29, 2021, Proceedings - Mohamed Fakir
    Business Intelligence
    6th International Conference, CBI 2021, Beni Me...
    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
    Discrete Geometry and Mathematical Morphology
    First International Joint Conference, DGMM 2021...
    Joakim Lindblad, Filip Malmberg and Nataša Sladoje
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  • Think Bayes - Allen B. Downey
    Think Bayes
    Allen B. Downey
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  • Transactional Machine Learning with Data Streams and AutoML : Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python - Sebastian Maurice
    Transactional Machine Learning with Data Streams and AutoML
    Build Frictionless and Elastic Machine Learning...
    Sebastian Maurice
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  • Restless Multi-Armed Bandit in Opportunistic Scheduling : Engineering (R0) - Kehao Wang
    Restless Multi-Armed Bandit in Opportunistic Scheduling
    Engineering (R0)
    Kehao Wang and Lin Chen
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  • Machine Learning and Analytics in Healthcare Systems : Principles and Applications - Himani Bansal
    Machine Learning and Analytics in Healthcare Systems
    Principles and Applications
    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
    Computer Science (R0)
    Chengqing Zong, Rui Xia and Jiajun Zhang
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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
    Engineering (R0)
    Lucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva and Sérgio Lima Netto
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  • PyTorch Pocket Reference - Joe Papa
    PyTorch Pocket Reference
    Joe Papa
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  • Computational Intelligence in Healthcare : Computer Science (R0) - Amit Kumar Manocha
    Computational Intelligence in Healthcare
    Computer Science (R0)
    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
    An Introduction
    Kevin P. Murphy
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    $120.35
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  • Intelligent Communication and Automation Systems - Akhil Gupta
    Intelligent Communication and Automation Systems
    Akhil Gupta, Bandana Sharma, Suman Lata Tripathi and Kamal Sharma
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  • Modern Data Science with R : Chapman & Hall/CRC Texts in Statistical Science - Benjamin S. Baumer
    Modern Data Science with R
    Chapman & Hall/CRC Texts in Statistical Science
    Benjamin S. Baumer, Daniel T. Kaplan and Nicholas J. Horton
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  • Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Part I - Alessandro Crimi
    Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
    6th International Workshop, BrainLes 2020, Held...
    Alessandro Crimi and Spyridon Bakas
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  • Artificial Intelligence for Materials Science : Chemistry and Material Science (R0) - Yuan Cheng
    Artificial Intelligence for Materials Science
    Chemistry and Material Science (R0)
    Yuan Cheng, Tian Wang and Gang Zhang
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  • Advances in Information Retrieval : 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I - Djoerd Hiemstra
    Advances in Information Retrieval
    43rd European Conference on IR Research, ECIR 2...
    Djoerd Hiemstra, Marie-Francine Moens, Josiane Mothe, Raffaele Perego and Fabrizio Sebastiani
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  • Computer Vision and Image Processing : 5th International Conference, CVIP 2020, Prayagraj, India, December 4-6, 2020, Revised Selected Papers, Part II - Satish Kumar Singh
    Computer Vision and Image Processing
    5th International Conference, CVIP 2020, Prayag...
    Satish Kumar Singh, Partha Roy, Balasubramanian Raman and P. Nagabhushan
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  • Data Analytics for Cultural Heritage : Current Trends and Concepts - Abdelhak Belhi
    Data Analytics for Cultural Heritage
    Current Trends and Concepts
    Abdelhak Belhi, Abdelaziz Bouras, Abdulaziz Khalid Al-Ali and Abdul Hamid Sadka
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  • Cybernetics, Cognition and Machine Learning Applications : Proceedings of ICCCMLA 2020 - Vinit Kumar Gunjan
    Cybernetics, Cognition and Machine Learning Applications
    Proceedings of ICCCMLA 2020
    Vinit Kumar Gunjan, P. N. Suganthan, Jan Haase and Amit Kumar
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  • An Introduction to IoT Analytics : Chapman & Hall/CRC Data Science Series - Harry G. Perros
    An Introduction to IoT Analytics
    Chapman & Hall/CRC Data Science Series
    Harry G. Perros
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  • Artificial Intelligence in Music, Sound, Art and Design : 10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings - Juan Romero
    Artificial Intelligence in Music, Sound, Art and Design
    10th International Conference, EvoMUSART 2021, ...
    Juan Romero, Tiago Martins and Nereida Rodríguez-Fernández
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  • Mediterranean Forum - Data Science Conference : First International Conference, MeFDATA 2020, Sarajevo, Bosnia and Herzegovina, October 24, 2020, Revised Selected Papers - Jasminka Hasic Telalovic
    Mediterranean Forum - Data Science Conference
    First International Conference, MeFDATA 2020, S...
    Jasminka Hasic Telalovic and Mehmed Kantardzic
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  • Robotic Process Automation using UiPath StudioX : A Citizen Developer's Guide to Hyperautomation - Adeel Javed
    Robotic Process Automation using UiPath StudioX
    A Citizen Developer's Guide to Hyperautomation
    Adeel Javed, Anum Sundrani, Nadia Malik and Sidney Madison Prescott
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  • Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics : Theories and Applications - Haruna Chiroma
    Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics
    Theories and Applications
    Haruna Chiroma, Shafi’i M. Abdulhamid, Philippe Fournier-Viger and Nuno M. Garcia
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  • Genetic Algorithms in Elixir - Sean Moriarity
    Genetic Algorithms in Elixir
    Sean Moriarity
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  • Machine Learning and Information Processing : Proceedings of ICMLIP 2020 - Debabala Swain
    Machine Learning and Information Processing
    Proceedings of ICMLIP 2020
    Debabala Swain, Prasant Kumar Pattnaik and Tushar Athawale
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  • Biomedical Signal Processing for Healthcare Applications : Emerging Trends in Biomedical Technologies and Health informatics - Varun Bajaj
    Biomedical Signal Processing for Healthcare Applications
    Emerging Trends in Biomedical Technologies and ...
    Varun Bajaj, G. R. Sinha and Chinmay Chakraborty
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  • Event Mining for Explanatory Modeling : ACM Books - Laleh Jalali
    Event Mining for Explanatory Modeling
    ACM Books
    Laleh Jalali and Ramesh Jain
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  • Implementing Machine Learning for Finance : A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios - Tshepo Chris Nokeri
    Implementing Machine Learning for Finance
    A Systematic Approach to Predictive Risk and Pe...
    Tshepo Chris Nokeri
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  • Black Box Optimization, Machine Learning, and No-Free Lunch Theorems : Mathematics and Statistics (R0) - Panos M. Pardalos
    Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
    Mathematics and Statistics (R0)
    Panos M. Pardalos, Varvara Rasskazova and Michael N. Vrahatis
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  • Enabling Machine Learning Applications in Data Science : Proceedings of Arab Conference for Emerging Technologies 2020 - Aboul Ella Hassanien
    Enabling Machine Learning Applications in Data Science
    Proceedings of Arab Conference for Emerging Tec...
    Aboul Ella Hassanien, Ashraf Darwish, Sherine M. Abd El-Kader and Dabiah Ahmed Alboaneen
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  • Bayesian Networks : With Examples in R - Marco Scutari
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    Marco Scutari and Jean-Baptiste Denis
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  • Intelligent Systems in Big Data, Semantic Web and Machine Learning : Intelligent Technologies and Robotics (R0) - Noreddine Gherabi
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    Intelligent Technologies and Robotics (R0)
    Noreddine Gherabi and Janusz Kacprzyk
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  • Advanced Machine Learning Approaches in Cancer Prognosis : Challenges and Applications - Janmenjoy Nayak
    Advanced Machine Learning Approaches in Cancer Prognosis
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    Janmenjoy Nayak, Margarita N. Favorskaya, Seema Jain, Bighnaraj Naik and Manohar Mishra
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  • The Year in Tech 2022: The Insights You Need from Harvard Business Review : The Insights You Need from Harvard Business Review - Harvard Business Review
    The Year in Tech 2022: The Insights You Need from Harvard Business Review
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    Harvard Business Review, Larry Downes, Jeanne C. Meister, David B. Yoffie and Maelle Gavet
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  • Handbook of Machine Learning for Computational Optimization : Applications and Case Studies - Vishal Jain
    Handbook of Machine Learning for Computational Optimization
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    Vishal Jain, Sapna Juneja, Abhinav Juneja and Ramani Kannan
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  • SQL for Data Analysis : Advanced Techniques for Transforming Data into Insights - Cathy Tanimura
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    Cathy Tanimura
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