Machine learning techniques for space weather

Machine learning techniques for space weather

Enregistré dans:

Détails bibliographiques
Auteur principal:	Camporeale, Enrico. (Directeur de la publication)
Autres auteurs:	Wing, Simon. (Directeur de la publication), Johnson, Jay R..
Support:	E-Book
Langue:	Anglais
Publié:	San Diego : Elsevier Science, 2018.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Variability of the Sun and Sun-like Stars: from Asteroseismology to Space Weather
par: Rozelot, Jean-Pierre (1942-....).
Publié: (2018)

Weather for Dummies
par: Cox, John D..

Weather by the Numbers : The Genesis of Modern Meteorology
par: Harper, Kristine C. (19..-....).
Publié: (2008)

Handbook of material weathering
par: Wypych, George (1941-....).
Publié: (2018)

A dictionary of weather
par: Dunlop, Storm.
Publié: (2005)

Weather as Medium : Towards a Meteorological Art
par: Randerson, Janine.
Publié: (2018)

Machine Learning Techniques for Text : Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation
par: Tsourakis, Nikos (19..-....).
Publié: (2022)

Machine learning : expert techniques to tackle complex machine learning problems using Python
par: Thanaki, Jalaj.
Publié: (2018)

Making sense of weather and climate : the science behind the forecasts
par: Denny, Mark W. (1951-....).
Publié: (2017)

Weather Analysis and Forecasting : Applying Satellite Water Vapor Imagery and Potential Vorticity Analysis
par: Georgiev, Christo G..
Publié: (2016)

Machine learning
par: Mueller, John Paul (1958-....).

Applied Machine Learning Explainability Techniques : Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more
par: Bhattacharya, Aditya.
Publié: (2022)

Machine Learning with Python : Design and Develop Machine Learning and Deep Learning Technique using real world code examples
par: Vijayvargia, Abhishek.

Machine learning in Java : helpful techniques to design, build, and deploy powerful machine learning applications in Java
par: Bhatia, AshishSingh.
Publié: (2018)

Graph Machine Learning : Take graph data to the next level by applying machine learning techniques and algorithms
par: Stamile, Claudio (19..-....; chercheur en informatique).
Publié: (2021)

The Effect of UV Light and Weather on Plastics and Elastomers
par: McKeen, Laurence W..
Publié: (2013)

Machine Learning for Imbalanced Data : Tackle imbalanced datasets using machine learning and deep learning techniques
par: Abhishek, Kumar.

Machine Learning and Deep Learning Algorithms : Tools and Techniques Using MATLAB and Python
par: Kumar Pandey, Abhishek.

Machine learning with the Elastic Stack : expert techniques to integrate machine learning with distributed search and analytics
par: Collier, Rich.
Publié: (2019)

Machine learning : theory and applications
par: Govindaraju, Venugopal (1964-....).
Publié: (2013)

Machine learning : the new AI
par: Alpaydin, Ethem.
Publié: (2016)

Machine Learning with R : Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data
par: Lantz, Brett.

Mastering machine learning with scikit-learn : learning to implement and evaluate machine learning solutions with scikit-learn
par: Hackeling, Gavin.
Publié: (2017)

Mastering machine learning with R : advanced machine learning techniques for building smart applications with R 3.5
par: Lesmeister, Cory.
Publié: (2019)

Coollustre, Weather everything, Dramatically different : trois expositions d'Eric Troncy.
Publié: (2003)

Python Machine Learning : Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
par: Raschka, Sebastian.
Publié: (2019)

Machine learning algorithms : popular algorithms for data science and machine learning
par: Bonaccorso, Giuseppe.
Publié: (2018)

Machine Learning in Microservices : Productionizing microservices architecture for machine learning solutions
par: Abouahmed, Mohamed.

Simplified Machine Learning : The essential building blocks for Machine Learning expertise
par: Sharma, Pooja.

Machine Learning with Python : Unlocking AI Potential with Python and Machine Learning
par: Theobald, Oliver.

Machine learning with Spark
par: Dua, Rajdeep.
Publié: (2017)

Statistics for machine learning
par: Dangeti, Pratap.
Publié: (2017)

MATLAB for machine learning
par: Ciaburro, Giuseppe (19..-....).
Publié: (2017)

Practical Machine Learning
par: Gollapudi, Sunila.
Publié: (2016)

Machine learning for the Web
par: Isoni, Andrea.
Publié: (2016)

Optimization for machine learning
par: Sra, Suvrit (1976-....).
Publié: (2011)

Python machine learning
par: Lee, Wei-Meng (19..-....).

Scala for machine learning
par: Nicolas, Patrick R..
Publié: (2017)

Machine learning With Go
par: Whitenack, Daniel.
Publié: (2017)

Mastering machine learning algorithms : expert techniques to implement popular machine learning algorithms and fine-tune your models
par: Bonaccorso, Giuseppe.
Publié: (2018)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1