Menu
Rendelés állapotának ellenőrzése
Kapcsolat
Könyv Introducing MLOps Clement Stenac

Introducing MLOps

How to Scale Machine Learning in the Enterprise

Szerző: Clement Stenac, Leo Dreyfus-Schmidt, Kenji Lefevre, Nicolas Omont, Mark Treveil
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: O'Reilly Media
Elérhetőség: Beszállítói készleten
Küldés 9-15 napon belül
18 773 Ft
This book introduces the key concepts of MLOps to help data scientists and application engineers not...

Információk a könyvről

Szerző
Clement Stenac, Leo Dreyfus-Schmidt, Kenji Lefevre, Nicolas Omont, Mark Treveil
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2020
oldal
150
EAN
9781492083290
ISBN
1492083291
Enbook ID
33064586
Kiadó
O'Reilly Media
Súly
340
Méretek
235 x 177 x 14

Teljes leírás

This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time.

Érdekelheti

Introducing MLOps

Mark Treveil
17 960 Ft

Fundamentals of Data Engineering

Joe Reis
22 686 Ft

Designing Machine Learning Systems

Chip Huyen
18 773 Ft

Implementing MLOps in the Enterprise

Yaron Haviv
21 034 Ft

AI Engineering

Chip Huyen
21 191 Ft

Elements of Statistical Learning

Trevor Hastie
33 286 Ft

Python Cookbook

David Beazley
18 499 Ft

SQL Cookbook

Robert de Graaf
18 773 Ft

Learning Serverless

Jason Katzer
18 773 Ft

Kubeflow for Machine Learning

Holden Karau
14 330 Ft

Data Engineering with AWS

Gareth Eagar
24 391 Ft

Practical Statistics for Data Scientists

Andrew Bruce
22 686 Ft

Pattern Recognition and Machine Learning

Bishop
35 010 Ft

Data Pipelines Pocket Reference

James Densmore
8 765 Ft

The Clean Coder

Robert C. Martin
13 962 Ft

Data Warehouse Toolkit, Third Edition - The Definitive Guide to Dimensional Modeling

Ralph Kimball
21 618 Ft

Transformers for Natural Language Processing

Denis Rothman
37 370 Ft

Linux Cookbook

Carla Schroder
18 773 Ft

Building the Data Warehouse 4e

William H. Inmon
17 377 Ft

Stream Processing with Apache Flink

Fabian Hueske
22 686 Ft

Learning Domain-Driven Design

Vlad Khononov
18 773 Ft

Software Architecture: The Hard Parts

Mark Richards
22 686 Ft

Domain-Driven Design

Eric Evans
22 982 Ft

SQL for Data Analysis

Cathy Tanimura
16 852 Ft

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták

Practical MLOps

Noah Gift
25 459 Ft

Machine Learning Design Patterns

Sara Robinson
18 773 Ft

MLOps Engineering at Scale

Carl Osipov
20 038 Ft

Clean Architecture

Robert C. Martin
11 287 Ft

Deep Learning

Ian Goodfellow
39 820 Ft

Building Machine Learning Pipelines

Hannes Hapke
22 686 Ft

Design Patterns

Erich Gamma
18 315 Ft

Essential Math for Data Science

Thomas Nield
18 773 Ft

Engineering MLOps

Emmanuel Raj
9 676 Ft

AI Systems Performance Engineering

Chris Fregly
28 233 Ft

Cloud Native Transformation

Pini Reznik
22 686 Ft

Building Machine Learning Powered Applications

Emmanuel Ameisen
18 773 Ft

Analytical Skills for AI and Data Science

Daniel Vaughan
22 686 Ft

Semantic Modeling for Data

Panos Alexopoulos
25 459 Ft

Advancing into Analytics

George Mount
18 773 Ft

Deep Learning with Python

Francois Chollet
23 853 Ft

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e

GERON AURELIEN
25 459 Ft

Natural Language Processing with Transformers, Revised Edition

Lewis Tunstall
18 773 Ft

Generative Deep Learning

David Foster
22 686 Ft

Generative AI Design Patterns

Hannes Hapke
22 686 Ft

Building Microservices

Sam Newman
22 686 Ft

Stream Processing with Apache Spark

Francois Garillot
19 881 Ft

Learning the Bash Shell 3e

Cameron Newham
12 938 Ft

Unix in A Nutshell 4e

Arnold Robbins
12 938 Ft