"Truthiness: Challenges Associated with Employing Machine Learning on Neurophysiological Sensor Data"

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Book	Author(s)	Year	Publisher
Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python	Joseph Awange; Béla Paláncz; Lajos Völgyesi	1st ed. 2020	Springer International Publishing
Adaptive Machine Learning Algorithms with Python: Solve Data Analytics and Machine Learning Problems on Edge Devices	Chanchal Chatterjee	1st ed.	Apress
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges	Aboul Ella Hassanien; Ashraf Darwish	1st ed. 2021	Springer International Publishing
Machine Learning and Big Data with kdb+/q	Jan Novotny	2019	John Wiley & Sons
Machine Learning and Data Mining	I. Kononenko and M. Kukar	2007	Woodhead Publishing
Machine Learning for Streaming Data with Python: Rapidly build practical online machine learning solutions	Joos Korstanje	2022	Packt
Automated Machine Learning: Methods, Systems, Challenges	Frank Hutter; Lars Kotthoff; Joaquin Vanschoren	1st ed. 2019	Springer International Publishing
Hands-On Machine Learning with R	Brad Boehmke; Brandon M. Greenwell	2019	Routledge
Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning	Fei Hu; Qi Hao	2013	Routledge
Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)	Rajiv Misra; Rudrapatna K. Shyamasundar; Amrita Chaturvedi; Rana Omer	1st ed. 2022	Springer International Publishing
Machine Learning for Big Data Analysis	Siddhartha Bhattacharyya; Hrishikesh Bhaumik; Anirban Mukherjee; Sourav De	2019	De Gruyter
Data Mining and Machine Learning Applications	Kapil Kumar Nagwanshi; Rohit Raja; Sandeep Kumar; K. Ramya Laxmi	2022	John Wiley & Sons
Data Management in Machine Learning Systems	Matthias Boehm; Arun Kumar; Jun Yang		Springer International Publishing
Missing Data Problems in Machine Learning	Benjamin M. Marlin
Multi-Sensor Data Fusion with MATLAB	Jitendra R. Raol	2009	Routledge
Machine Learning with the Elastic Stack: Gain valuable insights from your data with Elastic Stack's machine learning features	Rich Collier; Camilla Montonen; Bahaaldine Azarmi	2021	Packt Publishing
Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python	David Paper	1st ed.	Apress
Machine Learning for Data Streams: with Practical Examples in MOA	Albert Bifet; Ricard Gavaldà; Geoff Holmes; Bernhard Pfahringer; Francis Bach	2018	MIT Press
Fundamentals of Data Analytics: With a View to Machine Learning	Rudolf Mathar; Gholamreza Alirezaei; Emilio Balda; Arash Behboodi	1st ed. 2020	Springer International Publishing
Machine Learning for Data Streams: with Practical Examples in MOA	Albert Bifet; Ricard Gavaldà; Geoff Holmes; Bernhard Pfahringer	2018	IEEE Xplore,;The MIT Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Truthiness: Challenges Associated with Employing Machine Learning on Neurophysiological Sensor Data	Mark Costa; Sarah Bratt	Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience: 10th International Conference, AC 2016, Held as Part of HCI International 2016, Toronto, ON, Canada, July 17-22, 2016, Proceedings, Part I	Dylan D. Schmorrow; Cali M. Fidopiastis	1st ed. 2016	Springer International Publishing
Machine Learning for Sensor Data	Michael Stanley; Jongmin Lee	Sensor Analysis for the Internet of Things	Michael Stanley; Jongmin Lee		Springer International Publishing
Challenges associated with data science		Agile Machine Learning with DataRobot: Automate each step of the machine learning life cycle, from understanding problems to delivering value	Bipin Chadha, Sylvester Juwe	2021	Packt Publishing
Machine-Learning Challenges		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
On Truthiness		The Changing Faces of Journalism: Tabloidization, Technology and Truthiness	Barbie Zelizer	2009	Routledge
Employing Machine Learning for Predictive Data Analytics in Healthcare	Rakhi Akhare; Monika Mangla; Sanjivani Deokar; Hardik Deshmukh	Handbook of Research on Machine Learning: Foundations and Applications	Monika Mangla; Subhash K. Shinde; Vaishali Mehta; Nonita Sharma; Sachi Nandan Mohanty	2022	Routledge
Machine learning solution architecture for big data (employing Hadoop)		Practical Machine Learning	Sunila Gollapudi	2016	Packt Publishing
Machine learning solution architecture for big data (employing Hadoop)		Practical machine learning: tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques /	Gollapudi, Sunila,; Laxmikanth, V.,
Machine Learning Challenges for Single Cell Data	Sofie Van Gassen; Tom Dhaene; Yvan Saeys	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III	Bettina Berendt; Björn Bringmann; Élisa Fromont; Gemma Garriga; Pauli Miettinen; Nikolaj Tatti; Volker Tresp	1st ed. 2016	Springer International Publishing
Machine Learning Data	Zoltán Somogyi	The Application of Artificial Intelligence: Step-by-Step Guide from Beginner to Expert	Zoltán Somogyi	1st ed. 2021	Springer International Publishing
12 Machine learning challenges		Graph-Powered Machine Learning	Alessandro Nego	2021	‎ Manning Publications
Challenges of Machine Learning		Data Just Right: Introduction to Large-Scale Data & Analytics	Michael Manoochehri	0	Addison-Wesley
Issues and challenges associated with data sharing		Principles and obstacles for sharing data from environmental health research: workshop summary /	Pool, Robert,; Rusch, Erin,		National Academies Press
Effective Data Assimilation with Machine Learning	Rossella Arcucci	Data Science and Big Data Analytics in Smart Environments	Marta Chinnici; Florin Pop; Cătălin Negru	2021	Routledge
Big Data Analytics with Machine Learning		Big Data: Concepts, Technology, and Architecture	Balamurugan Balusamy; Nandhini Abirami R; Seifedine Kadry; Amir H. Gandomi	2021	Wiley Telecom
Machine Learning for Sensor Networks		Body Sensor Networking, Design and Algorithms	Saeid Sanei	2020	John Wiley & Sons
Human Activity Recognition Systems Based on Sensor Data Using Machine Learning	Seemanti Saha; Rajarshi Bhattacharya	Internet of Things Based Smart Healthcare: Intelligent and Secure Solutions Applying Machine Learning Techniques	Suparna Biswas; Chandreyee Chowdhury; Biswaranjan Acharya; Chuan-Ming Liu	1st ed. 2022	Springer Nature Singapore
Issues and Challenges Associated with Machine Learning Tools for Health Care System	Parul Chhabra; Pradeep Kumar Bhatia	Data Science for Effective Healthcare Systems	Hari Singh; Ravindara Bhatt; Prateek Thakral; Dinesh Chander Verma	2022	Routledge
Machine Learning on Geospatial Big Data	Terence van Zyl	Big Data: Techniques and Technologies in Geoinformatics	Hassan A. Karimi	2014	Routledge
Machine Learning on Big Data Clusters	Benjamin Weissman; Enrico van de Laar	SQL Server Big Data Clusters: Early First Edition Based on Release Candidate 1	Benjamin Weissman; Enrico van de Laar	1st ed.	Apress
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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