Cargando…

Building effective data science infrastructure in 30 minutes /

Ville will demonstrate how to develop and deploy a production-grade ML application on the fly, using tips and techniques presented in his book, Effective Data Science Infrastructure.

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Formato:	Electrónico Video
Idioma:	Inglés
Publicado:	[Shelter Island, New York] : Manning Publications Co., [2021]
Edición:	[First edition].
Temas:	Machine learning. Computer network architectures. Apprentissage automatique. Réseaux d'ordinateurs > Architectures. Webcast Instructional films. Internet videos. Nonfiction films. Films de formation. Films autres que de fiction. Vidéos sur Internet.
Acceso en línea:	Texto completo (Requiere registro previo con correo institucional)

Ejemplares similares

Random search and reproducibility for neural architecture search /
Publicado: (2019)

Learn Keras for deep neural networks : a fast-track approach to modern deep learning with Python /
por: Moolayil, Jojo
Publicado: (2019)

Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots /
por: Ayyadevara, V. Kishore
Publicado: (2019)

Automating DevOps for machine learning /
Publicado: (2019)

Hands-on neural networks with TensorFlow 2.0 : train, model and deploy the neural networks into your systems using the power of TensorFlow 2.0 /
por: Galeone, Paolo
Publicado: (2019)

Keras 2.x projects : 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras /
por: Ciaburro, Giuseppe
Publicado: (2018)

Effective enterprise architecture /
Publicado: (2019)

Deep learning : a visual approach /
por: Glassner, Andrew S.
Publicado: (2021)

The TensorFlow Workshop /
por: Moocarme, Matthew, et al.
Publicado: (2021)

Dataset shift in machine learning /
Publicado: (2009)

Data science and machine learning : (theory and projects) A to Z.
Publicado: (2021)

Go Machine Learning Projects : Eight Projects Demonstrating End-To-end Machine Learning and Predictive Analytics Applications in Go.
por: Chew, Xuanyi
Publicado: (2018)

TensorFlow shen du xue xi ke cheng : shen du shen jing wang luo zai ji qi xue ren wu de ying yong.
Publicado: (2017)

Live-coding a machine learning model from scratch /
Publicado: (2019)

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

Practical machine learning : tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques /
por: Gollapudi, Sunila
Publicado: (2016)

Practical machine learning : tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques /
por: Gollapudi, Sunila
Publicado: (2016)

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

Machine learning : hands-on for developers and technical professionals /
por: Bell, Jason (Computer scientist)
Publicado: (2015)

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

Accelerate machine learning with a unified analytics architecture : deploy machine learning models in minutes, not months /
por: Epstein, Ben, et al.
Publicado: (2022)

Deep learning with TensorFlow /
Publicado: (2018)

Generative Adversarial Networks Projects : Build Next-Generation Generative Models Using TensorFlow and Keras.
por: Ahirwar, Kailash
Publicado: (2019)

Playing with GANs : building, coding, and modifying deep learning GAN models.
Publicado: (2021)

Shen du xue xi : nei hang ren de zuo fa = Deep learning : a practitioner's approach /
por: Patterson, Josh (Consultant), et al.
Publicado: (2019)

Generative adversarial networks projects : build next-generation generative models using TensorFlow and Keras /
por: Ahirwar, Kailash
Publicado: (2019)

ML at Twitter : a deep dive into Twitter's timeline /
Publicado: (2019)

Deep learning projects using TensorFlow 2 : neural network development with Python and Keras /
por: Silaparasetty, Vinita
Publicado: (2020)

Data science algorithms in a week : top 7 algorithms for scientific computing, data analysis, and machine learning /
por: Natingga, Dávid
Publicado: (2018)

Data science algorithms in a week : top 7 algorithms for scientific computing, data analysis, and machine learning /
por: Natingga, Dávid
Publicado: (2018)

Hardware architectures for deep learning /
Publicado: (2020)

Introduction to computer vision with TensorFlow : using convolutional neural networks and TensorFlow to solve computer vision tasks /
Publicado: (2017)

Hands-on neural networks with Keras : design and create neural networks using deep learning and artificial intelligence principles /
por: Purkait, Niloy
Publicado: (2019)

Deep learning with PyTorch Lightning : build and train high-performance artificial intelligence and self-supervised models using Python /
por: Sawarkar, Kunal, et al.
Publicado: (2021)

Machine learning in action /
por: Harrington, Peter
Publicado: (2012)

Grokking deep learning /
por: Trask, Andrew W.
Publicado: (2019)

Advanced applied deep learning : convolutional neural networks and object detection /
por: Michelucci, Umberto
Publicado: (2019)

The applied TensorFlow and Keras workshop.
por: Chadha, Harveen Singh, et al.
Publicado: (2020)

Getting started with deep learning /
por: Patterson, Josh (Consultant), et al.
Publicado: (2018)

Hands-on generative adversarial networks with Keras : your guide to implementing next-generation generative adversarial networks /
por: Valle, Rafael, 1985-
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_po36bmoihierqm0pi6lp520ncq