Cargando…

MLOps chronicles 11-2021 /

Learn to build a DevOps Environment, then convert it into a multiple platform experience with AWS Cloud Shell and AWS Cloud 9. Finally use Amazon ECR to deploy containers to AWS App Runner. Also learn to use GCP Cloud Run as well as AWS Sagemaker. Follow along will reading the best-selling book Prac...

Descripción completa

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Formato:	Electrónico Video
Idioma:	Inglés
Publicado:	[Place of publication not identified] : Pragmatic AI Solutions, [2021]
Edición:	[First edition].
Temas:	Machine learning > Computer programs. Apprentissage automatique > Logiciels. 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

MLOps Engineering at Scale /
por: Osipov, Carl
Publicado: (2022)

Engineering MLOps : rapidly build, test, and manage production-ready machine learning life cycles at scale /
por: Raj, Emmanuel
Publicado: (2021)

Doing MLOps live talk and demo /
Publicado: (2021)

MLOps with Hugging Face Spaces, Gradio and Github Actions /
Publicado: (2022)

Kicking the tires on MLOps framework MLRun /
Publicado: (2021)

Beginning MLOps with MLFlow : deploy models in AWS SageMaker, Google Cloud, and Microsoft Azure /
por: Alla, Sridhar, et al.
Publicado: (2021)

Enterprise MLOps Interviews.
Publicado: (2022)

MLOps packaging : HuggingFace and Docker.
Publicado: (2022)

Practical MLOps : operationalizing machine learning models /
por: Gift, Noah
Publicado: (2021)

MLOps masterclass : theory to DevOps to Cloud-native to AutoML /
Publicado: (2022)

MLOps maturity model /
Publicado: (2021)

Cutting edge MLOps from zero with Hugging Face and OpenAI.
Publicado: (2022)

MLOps talks I want to attend at re:Invent 2021 : /
Publicado: (2021)

Applications of Machine Learning 2021
Publicado: (2021)

Hugging Face for MLOps.
Publicado: (2023)

MLOps for containers with AWS and GCP /
Publicado: (2021)

Deep learning : computer vision for beginners using PyTorch.
Publicado: (2023)

Hands-on machine learning for algorithmic trading bots with Python.
Publicado: (2019)

GANs in Action (Audiobook) /
por: Langr, Jakub, et al.
Publicado: (2019)

GANs in Action /
por: Bok, Vladimir, et al.
Publicado: (2019)

Deep learning on Windows : building deep learning computer vision systems on Microsoft Windows /
por: Amaratunga, Thimira
Publicado: (2021)

Deep learning on Windows : building deep learning computer vision systems on Microsoft Windows /
por: Amaratunga, Thimira
Publicado: (2021)

Python for machine learning : the complete beginner's course.
Publicado: (2021)

Interpretable machine learning with Python : learn to build interpretable high-performance models with hands-on real-world examples /
por: Mas̕s, Serg
Publicado: (2021)

Practical deep learning : a Python-based introduction /
por: Kneusel, Ronald T.
Publicado: (2021)

Machine learning for time series forecasting with Python /
por: Lazzeri, Francesca
Publicado: (2021)

Practical machine learning for streaming data with Python : design, develop, and validate online learning models /
por: Putatunda, Sayan
Publicado: (2021)

Machine learning with R quick start guide : a beginner's guide to implementing machine learning techniques from scratch using R 3.5 /
por: Pastor Sanz, Iván
Publicado: (2019)

Hands-on ensemble learning with Python : build highly optimized ensemble machine learning models using scikit-learn and Keras /
por: Kyriakides, George, et al.
Publicado: (2019)

Machine Learning with scikit-learn quick start guide : classification, regression, and clustering techniques in Python /
por: Jolly, Kevin
Publicado: (2018)

R machine learning projects : implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 /
por: Chinnamgari, Sunil Kumar
Publicado: (2019)

Hyperparameter tuning with Python : boost your machine learning model's performance via hyperparameter tuning.
por: Owen, Louis
Publicado: (2022)

Machine learning : random forest with Python from scratch.
Publicado: (2022)

Data science solutions with Python : fast and scalable models using Keras, Pyspark Mllib, H2O, XGBoost, and scikit-Learn /
por: Tshepo, Chris Nokeri
Publicado: (2022)

Hands-on machine learning with Python : implement neural network solutions with Scikit-learn and PyTorch /
por: Pajankar, Ashwin, et al.
Publicado: (2022)

Causal Inference and Discovery in Python : Unlock the Secrets of Modern Causal Machine Learning with Dowhy, EconML, Pytorch and More /
por: Molak, Aleksander
Publicado: (2023)

R machine learning by example : understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully /
por: Bali, Raghav, et al.
Publicado: (2016)

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

Machine learning using R : a comprehensive guide to machine learning /
por: Ramasubramanian, Karthik, et al.
Publicado: (2017)

Machine Learning for Streaming Data with Python : Rapidly Build Practical Online Machine Learning Solutions Using River and Other Top Key Frameworks /
por: Korstanje, Joos
Publicado: (2022)