Книги — MLOps

EN
Generative AI on Kubernetes: Operationalizing Large Language Models

Generative AI on Kubernetes: Operationalizing Large Language Models

A

Roland Huß, Daniele Zonca

AI и 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 и 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 и 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 и 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 и ML
RU
Машинное обучение. Паттерны проектирования

Машинное обучение. Паттерны проектирования

A

Валлиаппа Лакшманан, Сара Робинсон, Майкл Мунн

IT-менеджмент
RU
Практическое введение в основные библиотеки и фреймворки Python (с примерами кода)

Практическое введение в основные библиотеки и фреймворки Python (с примерами кода)

B

Мурат Дурмус

Языки программирования
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 и ML
RU
Проектирование систем машинного обучения

Проектирование систем машинного обучения

A

Чип Хьюен (Chip Huyen)

AI и ML
EN
Applied Machine Learning and High-Performance Computing on AWS

Applied Machine Learning and High-Performance Computing on AWS

A

Mani Khanuja, Farooq Sabir, Shreyas Subramanian, Trenton Potgieter

DevOps и Инфраструктура
EN
Distributed Machine Learning Patterns

Distributed Machine Learning Patterns

A

Yuan Tang

AI и ML
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 и 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 и 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 и 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 и 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 и 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

DevOps и Инфраструктура
RU
Azure Machine Learning

Azure Machine Learning

A

Jeff Barnes

DevOps и Инфраструктура
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 и ML
EN
Scalable AI and Design Patterns

Scalable AI and Design Patterns

F

Abhishek Mishra

IT-менеджмент
EN
Practical Machine Learning on Databricks

Practical Machine Learning on Databricks

A

Debu Sinha

AI и ML