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Search results for “[Subject: data-science-machine-learning]”

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Machine Learning. Supervised and unsupervised learning, latent semantic indexing, spectral clustering and Bellman equations by Ashok Kumar Yadav

Machine Learning. Supervised and unsupervised learning, latent semantic indexing, spectral clustering and Bellman equations

Ashok Kumar Yadav

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• Author(s): Ashok Kumar Yadav • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Networking - GeneralDocument from the year 2022 in the subject Computer Sciences - Artificial Intelligence, grade: B.Tech, Amity University (Amity S...

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A Study of Tackling Fake News with Machine Learning Approaches by Balamurugan Rengeswaran

A Study of Tackling Fake News with Machine Learning Approaches

Balamurugan Rengeswaran

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• Author(s): Balamurugan Rengeswaran • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Languages - GeneralDocument from the year 2024 in the subject Computer Sciences - Computational linguistics, grade: 10, VIT University (VIT), ...

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The Feasibility of Predicting Financial Crises using Machine Learning: Selected Regression Algorithms and Macroeconomic Data by Julia Markhovski

The Feasibility of Predicting Financial Crises using Machine Learning: Selected Regression Algorithms and Macroeconomic Data

Julia Markhovski

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• Author(s): Julia Markhovski • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Languages - GeneralBachelor Thesis from the year 2024 in the subject Computer Science - Commercial Information Technology, grade: 1.0, Frankfurt Scho...

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Big Data for Economic Resilience: The Role of Data Science in Shaping US Economic Policies and Growth: Data Science Contribution in Shaping Economic P by Joeleen Kimbell

Big Data for Economic Resilience: The Role of Data Science in Shaping US Economic Policies and Growth: Data Science Contribution in Shaping Economic P

Joeleen Kimbell

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• Author(s): Joeleen Kimbell • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Economics - GeneralScientific Study from the year 2025 in the subject Business economics - Economic Policy, grade: A, language: English, abstract: The...

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Comparative Study of Instance Based Learning and Back Propagation for Classification Problems by Nadia Kanwal

Comparative Study of Instance Based Learning and Back Propagation for Classification Problems

Nadia Kanwal

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• Author(s): Nadia Kanwal • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Business & Productivity Software - GeneralScientific Study from the year 2008 in the subject Computer Science - Applied, grade: 95, University of Ess...

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Privacy-aware Klassifikation auf Datenströmen am Beispiel des DAHOT Algorithmus by Anonymous

Privacy-aware Klassifikation auf Datenströmen am Beispiel des DAHOT Algorithmus

Anonymous

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• Author(s): Anonymous • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Languages - GeneralStudienarbeit aus dem Jahr 2018 im Fachbereich Informatik - Allgemeines, Note: 1,0, Universität Stuttgart, Sprache: Deutsch, Abstract: Um...

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Online News Recommendation Systems in Machine Learning by Anonymous

Online News Recommendation Systems in Machine Learning

Anonymous

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• Author(s): Anonymous • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Languages - GeneralResearch Paper (postgraduate) from the year 2018 in the subject Computer Science - Applied, grade: A, National University of Modern Langu...

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Sozialökonomische Auswirkungen von KI-Technologien im Kontext des Data Mining by Brehm, Julia

Sozialökonomische Auswirkungen von KI-Technologien im Kontext des Data Mining

Julia Brehm

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• Author(s): Julia Brehm • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Networking - GeneralStudienarbeit aus dem Jahr 2021 im Fachbereich Informatik - Künstliche Intelligenz, Note: 1,0, AKAD University, ehem. AKAD Fachhochsch...

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Predicting COVID-19 Cases in US Long-Term Care Facilities: An Empirical Study Using Epidemiological Data by Metin Baki

Predicting COVID-19 Cases in US Long-Term Care Facilities: An Empirical Study Using Epidemiological Data

Metin Baki

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• Author(s): Metin Baki • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: GeneralMaster's Thesis from the year 2020 in the subject Health - Nursing Science - Nursing Management, grade: 1.0, language: English, abstract: The focus ...

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Using Data Mining for Facilitating User Contributions in the Social Semantic Web by Maryam Ramezani

Using Data Mining for Facilitating User Contributions in the Social Semantic Web

Maryam Ramezani

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• Author(s): Maryam Ramezani • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Internet - GeneralDoctoral Thesis / Dissertation from the year 2011 in the subject Computer Science - Internet, New Technologies, grade: 1,0, Karlsruh...

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Breast Cancer Classification Using Machine Learning. An Empirical Study by Akor Ugwu

Breast Cancer Classification Using Machine Learning. An Empirical Study

Akor Ugwu

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• Author(s): Akor Ugwu • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Clinical MedicineDiploma Thesis from the year 2020 in the subject Medicine - Diagnostics, grade: 3.55, course: Computer Science, language: English, abstract...

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A study on network intrusion detection using classifiers by Balamurugan Rengeswaran

A study on network intrusion detection using classifiers

Balamurugan Rengeswaran

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• Author(s): Balamurugan Rengeswaran • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Business & Productivity Software - GeneralResearch Paper (undergraduate) from the year 2019 in the subject Computer Science - Applied, VIT...

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Machine Learning. A Guideline for its Usability in Production Systems by Alexander Volz

Machine Learning. A Guideline for its Usability in Production Systems

Alexander Volz

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• Author(s): Alexander Volz • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Engineering (General)Bachelor Thesis from the year 2017 in the subject Engineering - Mechanical Engineering, grade: 1,3, RWTH Aachen University, langua...

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Revolutionizing Cardiac Muscle Detection. Harnessing the Power of Machine Learning by Yenni Rajasekhar

Revolutionizing Cardiac Muscle Detection. Harnessing the Power of Machine Learning

Yenni Rajasekhar

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• Author(s): Yenni Rajasekhar • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: GeneralBachelor Thesis from the year 2023 in the subject Medicine - Biomedical Engineering, language: English, abstract: This analysis explores advan...

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Forest Health Monitoring Using AI and Remote Sensing by Mishra, Rajesh Kumar

Forest Health Monitoring Using AI and Remote Sensing

Rajesh Kumar Mishra, Rekha Agarwal, Divyansh Mishra

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• Author(s): Rajesh Kumar Mishra | Rekha Agarwal | Divyansh Mishra • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Networking - GeneralScientific Study from the year 2025 in the subject Computer Sciences - Artificial Intelligen...

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Stock Market Prediction and Efficiency Analysis using Recurrent Neural Network by Joish Bosco

Stock Market Prediction and Efficiency Analysis using Recurrent Neural Network

Joish Bosco

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• Author(s): Joish Bosco • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Languages - GeneralProject Report from the year 2018 in the subject Computer Science - Technical Computer Science, course: Computer Science, language: Eng...

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Machine Learning in the Growth-at-Risk Context. A Comparison of Predictors by Franz Lennart Wunderlich

Machine Learning in the Growth-at-Risk Context. A Comparison of Predictors

Franz Lennart Wunderlich

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• Author(s): Franz Lennart Wunderlich • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: GeneralMaster's Thesis from the year 2022 in the subject Economics - Other, grade: 1,3, University of Frankfurt (Main), language: English, ab...

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Brain Stroke Prediction using Machine Learning Techniques. A Comparative Study by R. Balamurugan

Brain Stroke Prediction using Machine Learning Techniques. A Comparative Study

R. Balamurugan

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• Author(s): R. Balamurugan • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: GeneralScientific Study from the year 2023 in the subject Computer Science - Bioinformatics, grade: 10, VIT University (VIT), course: Computer Science,...

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Machine Learning Approach to Detect Fraudulent Banking Transactions by Riwaj Kharel

Machine Learning Approach to Detect Fraudulent Banking Transactions

Riwaj Kharel

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• Author(s): Riwaj Kharel • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Artificial Intelligence - GeneralMaster's Thesis from the year 2022 in the subject Computer Sciences - Artificial Intelligence, grade: 3, University of A...

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Big Data Analytics and Machine Learning in Finance: Overview and Application by Miriam Wastl

Big Data Analytics and Machine Learning in Finance: Overview and Application

Miriam Wastl

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• Author(s): Miriam Wastl • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Management - GeneralStudienarbeit aus dem Jahr 2018 im Fachbereich BWL - Unternehmensführung, Management, Organisation, Note: 1,3, Universität Regensburg...

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Adressierung von Datenqualitätsdefekten bei maschinellen Lernverfahren by Wittmann, Matthias

Adressierung von Datenqualitätsdefekten bei maschinellen Lernverfahren

Matthias Wittmann

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• Author(s): Matthias Wittmann • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: GeneralMasterarbeit aus dem Jahr 2022 im Fachbereich BWL - Sonstiges, Note: 1,3, Universität Regensburg, Sprache: Deutsch, Abstract: Welche Methoden...

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Machine Learning-Methoden zur Vorhersage von Kundenabwanderungen im Bankensektor by Anonym

Machine Learning-Methoden zur Vorhersage von Kundenabwanderungen im Bankensektor

Anonym

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• Author(s): Anonym • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Artificial Intelligence - GeneralMasterarbeit aus dem Jahr 2020 im Fachbereich Informatik - Künstliche Intelligenz, Note: 1,0, Universität Ulm, Sprache: Deutsc...

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Methods of Machine Learning and their Application. The Basics of Markov Decision Processes and Reinforcement Learning by Omar Baiazid

Methods of Machine Learning and their Application. The Basics of Markov Decision Processes and Reinforcement Learning

Omar Baiazid

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• Author(s): Omar Baiazid • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: GeneralBachelor Thesis from the year 2021 in the subject Engineering - Computer Engineering, grade: 1,3, Hamburg University of Technology (Embedded Syste...

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Can machine learning models be used to categorize breast cancer stages reliably? by Depper, Marlene

Can machine learning models be used to categorize breast cancer stages reliably?

Marlene Depper

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• Author(s): Marlene Depper • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: GeneralStudienarbeit aus dem Jahr 2020 im Fachbereich Medizin - Sonstiges, Sprache: Deutsch, Abstract: This paper addresses the research question of wh...

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Optimizing Web Search Results for Image. K-means Clustering Algorithm by Priyanka Nandal

Optimizing Web Search Results for Image. K-means Clustering Algorithm

Priyanka Nandal

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• Author(s): Priyanka Nandal • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Languages - GeneralAcademic Paper from the year 2020 in the subject Computer Science - Technical Computer Science, grade: 9.5, language: English, abst...

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Einsatz von Key Performance Indikatoren im Controlling von Data Science Projekten by Tinz, Patrick

Einsatz von Key Performance Indikatoren im Controlling von Data Science Projekten

Patrick Tinz

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• Author(s): Patrick Tinz • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: GeneralStudienarbeit aus dem Jahr 2021 im Fachbereich Informatik - Sonstiges, Note: 1,3, Hochschule Darmstadt, Sprache: Deutsch, Abstract: In dieser Arbe...

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Machine Learning. Welche Potenziale und Hürden hat es? by Akcay, Mecit

Machine Learning. Welche Potenziale und Hürden hat es?

Mecit Akcay

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• Author(s): Mecit Akcay • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: GeneralBachelorarbeit aus dem Jahr 2021 im Fachbereich Ingenieurwissenschaften - Wirtschaftsingenieurwesen, Note: 1,7, Hochschule Albstadt-Sigmaringen; Al...

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A Comprehensive Approach on Sentiment Analysis & Prediction by Manu Banga

A Comprehensive Approach on Sentiment Analysis & Prediction

Manu Banga

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• Author(s): Manu Banga • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Networking - GeneralDocument in the subject Computer Sciences - Artificial Intelligence, language: English, abstract: In today scenario there is abrupt usa...

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Making heart diseases detectable. The invention of an algorithm for systematically predictions by Daniyal Baig

Making heart diseases detectable. The invention of an algorithm for systematically predictions

Daniyal Baig

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• Author(s): Daniyal Baig • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Languages - GeneralResearch Paper (postgraduate) from the year 2020 in the subject Computer Science - Programming, grade: 3, course: Machine learning, la...

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Design, Test und Validierung von Machine Learning-basierten Empfehlungssystemen unter Anwendung der Programmiersprache Python by Gehrmann, Michael

Design, Test und Validierung von Machine Learning-basierten Empfehlungssystemen unter Anwendung der Programmiersprache Python

Michael Gehrmann

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• Author(s): Michael Gehrmann • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Enterprise Applications - GeneralProjektarbeit aus dem Jahr 2019 im Fachbereich Informatik - Angewandte Informatik, Note: 1,7, AKAD University, ehem....

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Development of New Hybrid Models for Prediction of Maximal Oxygen Uptake (VO2max) Using Machine Learning Methods Combined with Feature Selection Algor by Fatih Abut

Development of New Hybrid Models for Prediction of Maximal Oxygen Uptake (VO2max) Using Machine Learning Methods Combined with Feature Selection Algor

Fatih Abut

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• Author(s): Fatih Abut • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: GeneralDoctoral Thesis / Dissertation from the year 2017 in the subject Engineering - Computer Engineering, grade: 100.00/100.00, Çukurova University, lang...

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Big or Smart Data? Recent trends in Data Science for sales and marketing: An empirical analysis of the consumer-packaged goods industry by Julia Ertel

Big or Smart Data? Recent trends in Data Science for sales and marketing: An empirical analysis of the consumer-packaged goods industry

Julia Ertel

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• Author(s): Julia Ertel • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: GeneralBachelor Thesis from the year 2021 in the subject Business economics - Miscellaneous, grade: 1,0, Pforzheim University, language: English, abstract...

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Long Short-Term Memory Networks bei der Renditeprognose. Inwiefern lassen sich die Ergebnisse von Fischer/Krauss (2017) replizieren und nachvollziehen by Meyer, Florian

Long Short-Term Memory Networks bei der Renditeprognose. Inwiefern lassen sich die Ergebnisse von Fischer/Krauss (2017) replizieren und nachvollziehen

Florian Meyer

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• Author(s): Florian Meyer • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Economics - GeneralProjektarbeit aus dem Jahr 2020 im Fachbereich VWL - Finanzwissenschaft, Note: 1,7, Universität Bremen, Sprache: Deutsch, Abstract: D...

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Die Prognosefähigkeit von Machine Learning-Verfahren und Managementschätzungen im Rahmen von finanziellen Unternehmenskennzahlen. Ein Vergleich by Anonymous

Die Prognosefähigkeit von Machine Learning-Verfahren und Managementschätzungen im Rahmen von finanziellen Unternehmenskennzahlen. Ein Vergleich

Anonymous

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• Author(s): Anonymous • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Management - GeneralMasterarbeit aus dem Jahr 2022 im Fachbereich BWL - Controlling, Note: 1,3, Universität Bremen (Lehrstuhl für Allgemeine Betriebswirtsch...

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Machine Learning Asset Valuation by Justus Wiedemann

Machine Learning Asset Valuation

Justus Wiedemann

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₹5,724
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• Author(s): Justus Wiedemann • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Management - GeneralMaster's Thesis from the year 2017 in the subject Business economics - Business Management, Corporate Governance, grade: 1,3, Zep...

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Prediction of Adverse Drug Reaction (ADR) Outcomes with use of Machine Learning. Feed-Forward Artificial Neural Network with Backpropagation by Kamil Szymanski

Prediction of Adverse Drug Reaction (ADR) Outcomes with use of Machine Learning. Feed-Forward Artificial Neural Network with Backpropagation

Kamil Szymanski

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₹5,718
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• Author(s): Kamil Szymanski • Publisher: Grin Verlag • Publisher Imprint: Grin Verlag • BISAC: Networking - GeneralMaster's Thesis from the year 2019 in the subject Computer Sciences - Artificial Intelligence, grade: 88.2, Institute of Technolog...

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