Python Debugging for AI, Machine Learning, and Cloud Computing

Συγγραφείς: Dmitry Vostokov

Resource Type: eBook.

Θέματα: Debugging in computer science--Computer programs, Machine learning--Computer simulation, Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Artificial Intelligence / General, MATHEMATICS / Probability & Statistics / General, COMPUTERS / Distributed Systems / Cloud Computing

Debugging Machine Learning Models with Python : Develop High-performance, Low-bias, and Explainable Machine Learning and Deep Learning Models

Συγγραφείς: Ali Madani

Resource Type: eBook.

Θέματα: Python (Computer program language), Debugging in computer science--Computer programs, Machine learning--Computer simulation

Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition

Practical Simulations for Machine Learning : Using Synthetic Data for AI

Συγγραφείς: Paris Buttfield-Addison, Mars Buttfield-Addison, Tim Nugent, Jon Manning

Resource Type: eBook.

Θέματα: Artificial intelligence--Computer simulation, Machine learning--Computer simulation

Categories: COMPUTERS / Data Science / Machine Learning, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, COMPUTERS / Machine Theory

Analysis of machine learning based LEACH robust routing in the Edge Computing systems

Συγγραφείς: Rajpoot, Vikram, Garg, Lalit, Zahid Alam, M., Sangeeta, Parashar, Vivek, Tapashetti, Pratibhadevi, Arjariya, Tripti

Θεματικοί όροι: Wireless sensor networks, Edge computing -- Case studies, Machine learning -- Computer simulation, Statistical matching

Relation: Rajpoot, V., Garg, L., Alam, M. Z., Parashar, V., Tapashetti, P., & Arjariya, T. (2021). Analysis of machine learning based LEACH robust routing in the Edge Computing systems. Computers & Electrical Engineering, 96, 107574.; https://www.um.edu.mt/library/oar/handle/123456789/108999

Διαθεσιμότητα: https://www.um.edu.mt/library/oar/handle/123456789/108999
https://doi.org/10.1016/j.compeleceng.2021.107574

Assessing the discoverability of variant proteins causing rare forms of paediatric diabetes using proteogenomics

Συγγραφείς: Naidoo, Lorensha

Συνεισφορές: Patterton, Hugh-George, Vaudel, Marc, Stellenbosch University. Faculty of Science. Centre for Bioinformatics & Computational Biology.

Θεματικοί όροι: Diabetes in children -- Genetic aspects, Proteomics -- Data processing, Proteins -- Analysis, Peptides -- Analysis, Spectrum analysis -- Data processing, Machine learning -- Computer simulation, Bayesian statistical decision theory -- Computer simulation, UCTD

Περιγραφή αρχείου: xiv, 143 pages : illustrations; application/pdf

Relation: https://scholar.sun.ac.za/handle/10019.1/134730

Διαθεσιμότητα: https://scholar.sun.ac.za/handle/10019.1/134730

การจัดการวัตถุดิบคงคลังของร้านอาหาร โดยใช้ Porximal policy optimization ; Porximal policy optimization on casual restaurant raw material stock

Συγγραφείς: ณัฐวัฒน์ เอกธรรมนิตย์

Συνεισφορές: วรพล พงษ์เพ็ชร

Θεματικοί όροι: e-Thesis, วัตถุดิบคงคลัง, Machine learning -- Computer simulation, การเรียนรู้ของเครื่อง

Περιγραφή αρχείου: 62 แผ่น; application/pdf

Relation: b212263; https://repository.nida.ac.th/handle/662723737/5539

Διαθεσιμότητα: https://repository.nida.ac.th/handle/662723737/5539
https://doi.org/10.14457/NIDA.the.2020.32

Using machine learning and agent-based simulation to predict learner progress for the South African high school education system

Συγγραφείς: Van den Heever, Maymarie

Συνεισφορές: Venter, Lieschen, Bekker, James, Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering.

Θεματικοί όροι: Education -- South Africa -- Evaluation, Machine learning -- Computer simulation, School improvement programs -- South Africa -- Data processing, Multiagent systems -- South Africa, UCTD

Περιγραφή αρχείου: xii, 120 pages; application/pdf

Relation: https://scholar.sun.ac.za/handle/10019.1/131943

Διαθεσιμότητα: https://scholar.sun.ac.za/handle/10019.1/131943

Integrated feature, neighbourhood, and model optimization for personalised modelling and knowledge discovery : a thesis submitted to Auckland University of Technology in fulfillment of the requirements for the degree of Master of Computer and Information Sciences , 2009

Συγγραφείς: Liang, Wen

Πηγή: Click here to access this resource online.

Θεματικοί όροι: Machine learning. Computer simulation.

Διαθεσιμότητα: http://hdl.handle.net/10292/749

Simulació i modelat d'entorns cloud per a experimentació amb machine learning

Συγγραφείς: Roldán Llinàs, Jordi

Συνεισφορές: Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics, Berral García, Josep Lluís, Gavaldà Mestre, Ricard

Θεματικοί όροι: Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic, Machine learning -- Computer simulation, Cloud Computing, Simulation, Aprenentatge automàtic -- Simulació per ordinador

Περιγραφή αρχείου: application/pdf

Relation: https://hdl.handle.net/2099.1/9581; 65753

Διαθεσιμότητα: https://hdl.handle.net/2099.1/9581

Simulació i modelat d'entorns cloud per a experimentació amb machine learning

Συγγραφείς: Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics, Berral García, Josep Lluís, Gavaldà Mestre, Ricard, Roldán Llinàs, Jordi

Όροι ευρετηρίου: Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic, Machine learning -- Computer simulation, Cloud Computing, Simulation, Aprenentatge automàtic -- Simulació per ordinador, Master thesis (pre-Bologna period)

Σύνδεσμος: https://hdl.handle.net/2099.1/9581