Libros sobre el tema "MACHINE LEARNING TOOL"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores mejores libros para su investigación sobre el tema "MACHINE LEARNING TOOL".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore libros sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Houser, David Allan. Machine learning as a quality improvement tool. Ottawa: National Library of Canada, 1996.
Buscar texto completoBuilding intelligent agents: An apprenticeship multistrategy learning theory, methodology, tool and case studies. San Diego: Academic Press, 1998.
Buscar texto completoKhosrowpour, Mehdi y Information Resources Management Association. Machine learning: Concepts, methodologies, tools and applications. Hershey, PA: Information Science Reference, 2012.
Buscar texto completoEibe, Frank y Hall Mark A, eds. Data mining: Practical machine learning tools and techniques. 3a ed. Burlington, MA: Morgan Kaufmann, 2011.
Buscar texto completoMachine learning: A probabilistic perspective. Cambridge, MA: MIT Press, 2012.
Buscar texto completoCastiello, Maria Elena. Computational and Machine Learning Tools for Archaeological Site Modeling. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88567-0.
Texto completoPardalos, Panos M., Stamatina Th Rassia y Arsenios Tsokas, eds. Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84459-2.
Texto completoWitten, I. H. Data mining: Practical machine learning tools and techniques with Java implementations. San Francisco, Calif: Morgan Kaufmann, 2000.
Buscar texto completoSrinivasa, K. G., G. M. Siddesh y S. R. Manisekhar, eds. Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2445-5.
Texto completoNational Institute of Standards and Technology (U.S.), ed. Manufacturing technology learning modules: Sharing resources for school outreach. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.
Buscar texto completoTopolsky, Nikolay y Valeriy Vilisov. Methods, models and algorithms in security systems: machine learning, robotics, insurance, risks, control. ru: Publishing Center RIOR, 2021. http://dx.doi.org/10.29039/02072-2.
Texto completoFiebrink, Rebecca A. y Baptiste Caramiaux. The Machine Learning Algorithm as Creative Musical Tool. Editado por Roger T. Dean y Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.23.
Texto completoBuilding Intelligent Agents: An Apprenticeship, Multistrategy Learning Theory, Methodology, Tool and Case Studies. Elsevier Science & Technology Books, 1998.
Buscar texto completoMachine Learning with Python: The Definitive Tool to Improve Your Python Programming and Deep Learning to Take You to the Next Level of Coding and Algorithms Optimization. Independently Published, 2021.
Buscar texto completoWright, Ivy. Machine Learning: Concepts, Tools and Techniques. States Academic Press, 2022.
Buscar texto completoWall, Eric. Python Crash Course: A Beginner's Guide to Master the Basics of Python and Data Science. Learn Coding with This Machine Learning Tool. Discover the Endless Possibilities of Computers and Codes. Independently Published, 2020.
Buscar texto completoPython Crash Course: A Beginner's Guide to Master the Basics of Python and Data Science. Learn Coding with This Machine Learning Tool. Discover the Endless Possibilities of Computers and Codes. Independently Published, 2020.
Buscar texto completoLearn Python : This Book Includes: Crash Course and Coding. a Guide to Master Python, Data Science and Analysis. Advanced Methods to Learn How to Create Codes with This Machine Learning Tool. Independently Published, 2020.
Buscar texto completoYu, Shipeng, Balaji Krishnapuram y R. Bharat Rao. Cost-Sensitive Machine Learning. Taylor & Francis Group, 2019.
Buscar texto completoYu, Shipeng, Balaji Krishnapuram y R. Bharat Rao. Cost-Sensitive Machine Learning. Taylor & Francis Group, 2011.
Buscar texto completoYu, Shipeng, Balaji Krishnapuram y R. Bharat Rao. Cost-Sensitive Machine Learning. Taylor & Francis Group, 2011.
Buscar texto completoJanke, Michael. Learning Computer Numerical Control: Instructor's Guide. Natl Tooling & Machining Assn, 1996.
Buscar texto completoIrma. Machine Learning: Concepts, Methodologies, Tools and Applications. IGI Global, 2011.
Buscar texto completoIRMA. Machine Learning: Concepts, Methodologies, Tools and Applications. Information Science Reference, 2011.
Buscar texto completoChoi, Eunsoo y Minsoo Kang. Machine Learning: Concepts, Tools and Data Visualization. World Scientific Publishing Co Pte Ltd, 2021.
Buscar texto completoIRMA. Machine Learning: Concepts, Methodologies, Tools and Applications. Information Science Reference, 2011.
Buscar texto completoChoi, Eunsoo y Minsoo Kang. Machine Learning: Concepts, Tools and Data Visualization. World Scientific Publishing Co Pte Ltd, 2021.
Buscar texto completoMather, Bob. Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques. Independently Published, 2018.
Buscar texto completoData Mining: Practical Machine Learning Tools and Techniques. Elsevier, 2011. http://dx.doi.org/10.1016/c2009-0-19715-5.
Texto completoData mining : practical machine learning tools and techniques. Morgan Kaufmann, 2017.
Buscar texto completoWitten, Ian H., Eibe Frank, Hall Mark A y Christopher Pal. Data Mining: Practical Machine Learning Tools and Techniques. Elsevier Science & Technology Books, 2016.
Buscar texto completoData Mining: Practical Machine Learning Tools and Techniques. Elsevier Science & Technology Books, 2011.
Buscar texto completoEddaly, Mansour, Patrick Siarry y Bassem Jarboui. Metaheuristics for Machine Learning: New Advances and Tools. Springer, 2022.
Buscar texto completoNagel, Stefan. Machine Learning in Asset Pricing. Princeton University Press, 2021. http://dx.doi.org/10.23943/princeton/9780691218700.001.0001.
Texto completoMurphy, Kevin P. Machine Learning: A Probabilistic Perspective. MIT Press, 2012.
Buscar texto completoMurphy, Kevin P. Machine Learning: A Probabilistic Perspective. MIT Press, 2012.
Buscar texto completoR. Larsen, Kai y Daniel S. Becker. Automated Machine Learning for Business. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190941659.001.0001.
Texto completoEldar, Yonina C., Andrea Goldsmith, Deniz Gündüz y H. Vincent Poor, eds. Machine Learning and Wireless Communications. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781108966559.
Texto completoCastiello, Maria Elena. Computational and Machine Learning Tools for Archeological Site Modeling. Springer International Publishing AG, 2021.
Buscar texto completoComputational and Machine Learning Tools for Archaeological Site Modeling. Springer International Publishing AG, 2023.
Buscar texto completoGéron, Aurélien. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly Media, Incorporated, 2022.
Buscar texto completoHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly Media, 2019.
Buscar texto completoLittle, Max A. Machine Learning for Signal Processing. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198714934.001.0001.
Texto completoEtaati, Leila. Machine Learning with Microsoft Technologies: Selecting the Right Architecture and Tools for Your Project. Apress, 2019.
Buscar texto completoBasuchoudhary, Atin, James T. Bang y Tinni Sen. Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth. Springer, 2017.
Buscar texto completoHands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly Media, 2017.
Buscar texto completoMachine Learning and Big Data: Concepts, Algorithms, Tools and Applications. Wiley & Sons, Limited, John, 2020.
Buscar texto completo