BOOKS - PROGRAMMING - Practical MLOps Operationalizing Machine Learning Models (Early...
Practical MLOps Operationalizing Machine Learning Models (Early Release) - Noah Gift and Alfredo Deza 2021-07-19 Fourth Release EPUB O’Reilly Media BOOKS PROGRAMMING
ECO~19 kg CO²

2 TON

Views
32858

Telegram
 
Practical MLOps Operationalizing Machine Learning Models (Early Release)
Author: Noah Gift and Alfredo Deza
Year: 2021-07-19 Fourth Release
Pages: 573
Format: EPUB
File size: 83,4 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Practical MLOps Operationalizing Machine Learning Models
Practical MLOps Operationalizing Machine Learning Models (Early Release)
Ultimate MLOps for Machine Learning Models Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
Ultimate MLOps for Machine Learning Models Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
Mastering MLOps Architecture From Code to Deployment Manage the production cycle of continual learning ML models with MLOps
Mastering MLOps Architecture From Code to Deployment Manage the production cycle of continual learning ML models with MLOps
Mastering MLOps Architecture: From Code to Deployment: Manage the production cycle of continual learning ML models with MLOps (English Edition)
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps (English Edition)
Operationalizing Machine Learning Pipelines
Simple Machine Learning for Programmers Beginner|s Intro to Using Machine Learning, Deep Learning, and Artificial Intelligence for Practical Applications
Building Machine Learning Systems Using Python Practice to Train Predictive Models and Analyze Machine Learning Results
Serverless Machine Learning with Amazon Redshift ML: Create, train, and deploy machine learning models using familiar SQL commands
Pragmatic Machine Learning with Python Learn How to Deploy Machine Learning Models in Production
Introducing MLOps How to Scale Machine Learning in the Enterprise
Machine Learning Production Systems Engineering Machine Learning Models and Pipelines
MLOps with Ray Best Practices and Strategies for Adopting Machine Learning Operations
MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations
MLOps with Ray Best Practices and Strategies for Adopting Machine Learning Operations
Online Machine Learning: A Practical Guide with Examples in Python (Machine Learning: Foundations, Methodologies, and Applications)
Machine Learning for Data Streams with Practical Examples in MOA (Adaptive Computation and Machine Learning series)
Unsupervised Machine Learning in Python Master Data Science and Machine Learning with Cluster Analysis, Gaussian Mixture Models, and Principal Components Analysis
Ultimate Machine Learning with ML.NET Build, Optimize, and Deploy Powerful Machine Learning Models for Data-Driven Insights with ML.NET, Azure Functions, and Web API
Python Machine Learning Understand Python Libraries (Keras, NumPy, Scikit-lear, TensorFlow) for Implementing Machine Learning Models in Order to Build Intelligent Systems
Machine Learning for Beginners A Practical Guide to Understanding and Applying Machine Learning Concepts
Ultimate Machine Learning with ML.NET: Build, Optimize, and Deploy Powerful Machine Learning Models for Data-Driven Insights with ML.NET, Azure Functions, and Web API (English Edition)
Machine Learning Upgrade A Data Scientist|s Guide to MLOps, LLMs, and ML Infrastructure
Machine Learning Upgrade A Data Scientist|s Guide to MLOps, LLMs, and ML Infrastructure
Continuous Machine Learning with Kubeflow Performing Reliable MLOps with Capabilities of TFX, Sagemaker and Kubernetes
Practical Machine Learning with R and Python Machine Learning in Stereo, Third Edition
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
Machine Learning Design Patterns Solutions to Common Challenges in Data Preparation, Model Building, and MLOps, First Edition
Hands-On Machine Learning with Scikit-Learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
Fundamentals of Machine & Deep Learning A Complete Guide on Python Coding for Machine and Deep Learning with Practical Exercises for Learners (Sachan Book 102)
Google JAX Essentials A quick practical learning of blazing-fast library for Machine Learning and Deep Learning projects
Shallow Learning vs. Deep Learning A Practical Guide for Machine Learning Solutions
Shallow Learning vs. Deep Learning A Practical Guide for Machine Learning Solutions
Practical Automated Machine Learning on Azure Using Azure Machine Learning to Quickly Build AI Solutions, First Edition
Machine Learning with Rust A practical attempt to explore Rust and its libraries across popular Machine Learning techniques
Machine Learning with Rust: A practical attempt to explore Rust and its libraries across popular machine learning techniques