Cargando…

Deep learning for physical scientists: accelerating research with machine learning

Detalles Bibliográficos
Autor principal:	Pyzer-Knapp, Edward O
Lenguaje:	eng
Publicado:	Wiley-Blackwell 2019
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2695127

Ejemplares similares

Accelerating high-energy physics exploration with deep learning
por: Ojika, Dave, et al.
Publicado: (2017)

Introduction to machine learning with Python: a guide for data scientists
por: Müller, Andreas C, et al.
Publicado: (2017)

Feature engineering for machine learning: principles and techniques for data scientists
por: Zheng, Alice, et al.
Publicado: (2018)

Machine learning in accelerator physics: Applications at the CERN Large Hadron Collider
por: Van der Veken, Frederik, et al.
Publicado: (2020)

Artificial intelligence, machine learning, and deep learning
por: Campesato, Oswald
Publicado: (2020)

Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow
por: Raschka, Sebastian, et al.
Publicado: (2017)

Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow 2
por: Raschka, Sebastian, et al.
Publicado: (2019)

Python machine learning case studies: five case studies for the data scientist
por: Haroon, Danish
Publicado: (2017)

Scala machine learning projects: build real-world machine learning and deep learning projects with Scala
por: Karim, Md Rezaul
Publicado: (2018)

Knowledge sharing on deep learning in physics research using VISPA
por: Beer, Max, et al.
Publicado: (2020)

Machine learning meets quantum physics
por: Schütt, Kristof, et al.
Publicado: (2020)

Machine learning research progress
por: Peters, Hannah, et al.
Publicado: (2010)

Deep learning: research and applications
por: Bhattacharyya, Siddhartha, et al.
Publicado: (2020)

Machine learning in chemistry
por: Pyzer-Knapp, Edward O, et al.
Publicado: (2019)

Compact and fast machine learning accelerator for IoT devices
por: Huang, Hantao, et al.
Publicado: (2018)

Learn PySpark: build Python-based machine learning and deep learning models
por: Singh, Pramod
Publicado: (2019)

Matlab deep learning: with machine learning, neural networks and artificial intelligence
por: Kim, Phil
Publicado: (2017)

Machine learning with Python cookbook: practical solutions from preprocessing to deep learning
por: Albon, Chris
Publicado: (2018)

Building machine learning systems with Python: explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow
por: Coelho, Luis Pedro, et al.
Publicado: (2018)

Python natural language processing: explore NLP with machine learning and deep learning techniques
por: Thanaki, Jalaj
Publicado: (2017)

Advanced data analytics using Python: with machine learning, deep learning and NLP examples
por: Mukhopadhyay, Sayan
Publicado: (2018)

Hands-on unsupervised learning with Python: implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
por: Bonaccorso, Giuseppe
Publicado: (2019)

Accelerate Scientific Deep Learning Models on Heterogeneous Computing Platform with FPGA
por: Jiang, Chao, et al.
Publicado: (2020)

Practical machine learning with H2O: powerful, scalable techniques for deep learning and AI
por: Cook, Darren
Publicado: (2017)

Gaussian processes for machine learning
por: Rasmussen, Carl Edward, et al.
Publicado: (2006)

Learning R programming: become an efficient data scientist with R
por: Ren, Kun
Publicado: (2016)

Mastering machine learning with scikit-learn: learn to implement and evaluate machine learning solutions with scikit-learn
por: Hackeling, Gavin
Publicado: (2017)

Effective Amazon machine learning: machine learning in the Cloud
por: Perrier, Alexis
Publicado: (2017)

Learning scikit-learn: machine learning in Python
por: Garreta, Raúl, et al.
Publicado: (2013)

Applied deep learning with Python: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
por: Galea, Alex, et al.
Publicado: (2018)

Building machine learning and deep learning models on Google Cloud Platform: a comprehensive guide for beginners
por: Bisong, Ekaba
Publicado: (2019)

Natural language processing recipes: unlocking text data with machine learning and deep learning using Python
por: Kulkarni, Akshay, et al.
Publicado: (2019)

Deep learning by example: a hands-on guide to implementing advanced machine learning algorithms and neural networks
por: Menshawy, Ahmed
Publicado: (2018)

Generative deep learning: teaching machines to paint, write, compose, and play
por: Foster, David
Publicado: (2019)

Fundamentals of deep learning: designing next-generation machine intelligence algorithms
por: Buduma, Nikhil, et al.
Publicado: (2017)

Machine learning
por: Inge, Roger, et al.
Publicado: (2017)

Machine Learning
por: Mitchell, Tom Michael
Publicado: (1997)

Learn Unity ML-Agents: fundamentals of Unity machine learning : incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games
por: Lanham, Michael
Publicado: (2018)

Scikit-learn: machine learning simplified
por: Garreta, Raúl, et al.
Publicado: (2017)

Mastering machine learning with scikit-learn
por: Hackeling, Gavin
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_lerihtenjvpbh3ub5j38ibae35