Books — MLOps

EN
Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms

Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms

A

Pavan Kumar Narayanan

AI and ML
EN
Practical Generative AI: From Concept to Deployment: Building and Deploying Ethical AI-Powered Solutions

Practical Generative AI: From Concept to Deployment: Building and Deploying Ethical AI-Powered Solutions

A

Pramod Singh, James McKeone

AI and ML
EN
Generative AI on Kubernetes: Operationalizing Large Language Models

Generative AI on Kubernetes: Operationalizing Large Language Models

A

Roland Huß, Daniele Zonca

AI and ML
EN
Learning AutoML: Automating ML Pipelines with AutoGluon, Leading Frameworks, and Real-World Integration

Learning AutoML: Automating ML Pipelines with AutoGluon, Leading Frameworks, and Real-World Integration

A

Kerem Tomak

AI and ML
EN
Machine Learning Platform Engineering: Build an internal developer platform for ML and AI systems

Machine Learning Platform Engineering: Build an internal developer platform for ML and AI systems

A

Benjamin Tan Wei Hao, Shanoop Padmanabhan, Varun Mallya

AI and ML
EN
The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions

The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions

A

Marco Scutari, Mauro Malvestio

AI and ML
EN
Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps

Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps

A

Suhas Pote

AI and ML
EN
Machine Learning System Design: With End-to-End Examples

Machine Learning System Design: With End-to-End Examples

A

Valerii Babushkin, Arseny Kravchenko

AI and ML
RU
Building Machine Learning Applications: From Idea to Product

Building Machine Learning Applications: From Idea to Product

A

Эммануэль Амейзен

AI and ML
RU
A Practical Introduction to Essential Python Libraries and Frameworks (with Code Examples)

A Practical Introduction to Essential Python Libraries and Frameworks (with Code Examples)

B

Мурат Дурмус

AI and ML
EN
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

A

Chip Huyen

AI and ML
RU
Machine Learning System Design

Machine Learning System Design

A

Чип Хьюен (Chip Huyen)

AI and ML
EN
Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development

Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development

A

Richard D Avila, Imran Ahmad

AI and ML
EN
TensorFlow in Action

TensorFlow in Action

A

Thushan Ganegedara

AI and ML
RU
Python and DevOps: The Key to Linux Automation

Python and DevOps: The Key to Linux Automation

A

Ной Гифт, Кеннеди Берман, Альфредо Деза, Григ Георгиу

DevOps and Infrastructure
EN
Designing Deep Learning Systems: A Guide for Software Engineers

Designing Deep Learning Systems: A Guide for Software Engineers

A

Chi Wang, Donald Szeto, Yan Xue

AI and ML
EN
MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations

A

Hien Luu, Max Pumperla, Zhe Zhang

AI and ML
EN
LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production

LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production

A

Paul Iusztin, Maxime Labonne

AI and ML
EN
Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

A

Hannes Hapke, Catherine Nelson

AI and ML
EN
Essentials of Python for Artificial Intelligence and Machine Learning

Essentials of Python for Artificial Intelligence and Machine Learning

A

Pramod Gupta, Anupam Bagchi

AI and ML
EN
Deploy Machine Learning Models to Production: With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform

Deploy Machine Learning Models to Production: With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform

A

Pramod Singh

AI and ML
EN
MLOps Lifecycle Toolkit: A Software Engineering Roadmap for Designing, Deploying, and Scaling Stochastic Systems

MLOps Lifecycle Toolkit: A Software Engineering Roadmap for Designing, Deploying, and Scaling Stochastic Systems

A

Dayne Sorvisto

AI and ML
EN
Practical Machine Learning on Databricks

Practical Machine Learning on Databricks

A

Debu Sinha

AI and ML
RU
Machine Learning Pipeline Development. Automating Model Lifecycles with TensorFlow

Machine Learning Pipeline Development. Automating Model Lifecycles with TensorFlow

A

Хапке Х., Нельсон К.

AI and ML