"Machine Learning Projects for Mobile Applications"

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Book	Author(s)	Year	Publisher
Machine Learning Projects for Mobile Applications	Karthikeyan NG	2018	Packt Publishing
Machine Learning Projects for. NET Developers	Mathias Brandewinder	1st ed.	Apress
Machine Learning for Healthcare Applications	Sachi Nandan Mohanty; G. Nalinipriya; Om Prakash Jena; Achyuth Sarkar	2021	John Wiley & Sons
Machine Learning for Robotics Applications	Monica Bianchini; Milan Simic; Ankush Ghosh; Rabindra Nath Shaw	1st ed. 2021	Springer Nature Singapore
Scala Machine Learning Projects	Md. Rezaul Karim	2018	Packt
Machine Learning Methods for Ecological Applications	Alan H. Fielding	1999	Springer US
Machine Learning Algorithms for Industrial Applications	Santosh Kumar Das; Shom Prasad Das; Nilanjan Dey; Aboul-Ella Hassanien	1st ed. 2021	Springer International Publishing
Machine Learning for High-Risk Applications	Patrick Hall	2021	O'Reilly Media, Inc.
Applications of Machine Learning	Prashant Johri; Jitendra Kumar Verma; Sudip Paul	1st ed. 2020	Springer Nature Singapore
Python machine learning from scratch: machine learning concepts and applications for beginners	Jonathan Adam	2016	AI Sciences
Handbook of Machine Learning Applications for Genomics	Sanjiban Sekhar Roy; Y.-H. Taguchi	1st ed. 2022	Springer Nature Singapore
Practical Rust Projects: Building Game, Physical Computing, and Machine Learning Applications	Shing Lyu	1st ed.	Apress
Machine Learning Applications: Emerging Trends	Rik Das; Siddhartha Bhattacharyya; Sudarshan Nandy	2020	De Gruyter
Machine Learning Algorithms and Applications	Mettu Srinivas; G. Sucharitha; Anjanna Matta	2021	John Wiley & Sons
Ensembles in Machine Learning Applications	Oleg Okun; Giorgio Valentini; Matteo Re	2011	Springer Berlin Heidelberg
Machine Learning and its Applications	Peter Wlodarczak	2019	Routledge
Machine Learning: Algorithms and Applications	Mohssen Mohammed; Muhammad Badruddin Khan; Eihab Bashier Mohammed Bashier	2016	Routledge
Industrial Applications of Machine Learning	Pedro Larrañaga; David Atienza; Javier Diaz-Rozo; Alberto Ogbechie; Carlos Esteban Puerto-Santana; Concha Bielza	2018	Routledge
Machine Learning Paradigm for Internet of Things Applications	Shalli Rani; R. Maheswar; G. R. Kanagachidambaresan; Sachin Ahuja; Deepali Gupta	2022	John Wiley & Sons
Cloud Computing for Machine Learning and Cognitive Applications	Kai Hwang	2017	The MIT Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Machine-Learning Projects		Machine Learning for Beginners: The Ultimate Guide to Learn and Understand Machine Learning – A Practical Approach to Master Machine Learning to Improve and Increase Business Results	Coen, Anderson	2020
Machine Learning Based Mobile Applications for Cardiovascular Diseases (CVDs)	Heba Y. M. Soliman; Mohamed Imam; Heba M. Abdelatty	The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)	Aboul Ella Hassanien; Rawya Y. Rizk; Václav Snášel; Rehab F. Abdel-Kader	1st ed. 2022	Springer International Publishing
R Machine Learning Projects		R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3. 5	Dr. Sunil Kumar Chinnamgari	2019	Packt Publishing
Data Loading for Machine Learning Projects		Computer Programming for Beginners: 3 Books in 1: Step by Step Guide to Learn Programming, Python For Beginners, Python Machine Learning	Kevin Cooper
Machine Learning Applications	Piero P. Bonissone	Springer Handbook of Computational Intelligence	Janusz Kacprzyk; Witold Pedrycz	2015	Springer Berlin Heidelberg
Machine Learning Applications		Machine Learning and its Applications	Peter Wlodarczak	2019	Routledge
Machine Learning Applications	Peter Wlodarczak	Machine Learning and its Applications	Peter Wlodarczak	2019	Routledge
Machine learning applications		Mastering Java Machine Learning	Kamath, Dr Uday	2017	Packt Publishing
Machine learning applications		Python Machine Learning By Example	Yuxi Liu	2020	Packt Publishing, Limited
Machine Learning Applications		Machine Learning Applications in Electromagnetics and Antenna Array Processing	Manel Martínez-ramón, Arjun Gupta, José Luis Rojo-álvarez, Christos Christodoulou	2021	Artech House
Machine Learning Applications		A First Course in Artificial Intelligence	Osondu Oguike	2021	Bentham Science Publishers
Machine Learning for Business Applications	Leong Chan; Liliya Hogaboam; Renzhi Cao	Applied Artificial Intelligence in Business: Concepts and Cases	Leong Chan; Liliya Hogaboam; Renzhi Cao	1st ed. 2022	Springer International Publishing
Mobile Service Applications for Machine Tools	Manfred Weck; Mehdi Hamadou; Hendrik Hoymann; Dirk Jahn; Marco Lescher	Virtual and Augmented Reality Applications in Manufacturing	S.K. Ong; A.Y.C. Nee	2004	Springer London
Machine learning for mobile malware analysis	Meenakshi; Puneet Garg; Pranav Shrivastava	Cyber Crime and Forensic Computing: Modern Principles, Practices, and Algorithms	Gulshan Shrivastava; Deepak Gupta; Kavita Sharma	2021	De Gruyter
Tools and data for machine-learning projects		R projects for dummies	Joseph Schmuller	2018	John Wiley & Sons
Machine Learning for Data Science Applications	Ravindra B. Keskar; Mansi A. Radke	Data Science and Its Applications	Aakanksha Sharaff; G. R. Sinha	2021	Routledge
Machine Learning Applications for Additive Manufacturing	Renangi Sandeep; Bibin Jose; K. Gokul Kumar; Manikandan Manoharan; N. Arivazhagan	Industrial Transformation: Implementation and Essential Components and Processes of Digital Systems	Om Prakash Jena; Sudhansu Shekhar Patra; Mrutyunjaya Panda; Zdzislaw Polkowski; S. Balamurugan	2022	Routledge
Machine Learning Applications for Heterogeneous Networks	Saad Aslam; Fakhrul Alam; Houshyar Honar Pajooh; Mohammad A. Rashid; Hafiz M. Asif	Real-Time Intelligence for Heterogeneous Networks: Applications, Challenges, and Scenarios in IoT HetNets	Fadi Al-Turjman	1st ed. 2021	Springer International Publishing
Machine Learning Applications for Earth Observation	David J. Lary; Gebreab K. Zewdie; Xun Liu; Daji Wu; Estelle Levetin; Rebecca J. Allee et al.	Earth Observation Open Science and Innovation	Pierre-Philippe Mathieu; Christoph Aubrecht	1st ed. 2018	Springer International Publishing
Machine Learning Applications for IoT Healthcare	Neha Agarwal; Pushpa Singh; Narendra Singh; Krishna Kant Singh; Rohit Jain	Machine Learning Approaches for Convergence of IoT and Blockchain.	Krishna Kant Singh; Akansha Singh; Sanjay K. Sharma	2021	John Wiley & Sons
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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