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Könyv Machine Learning Design Patterns Sara Robinson

Machine Learning Design Patterns

Solutions to Common Challenges in Data Preparation, Model Building, and Mlops

Szerző: Sara Robinson, Michael Munn
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: O'Reilly Media
Elérhetőség: Beszállítói készleten
Küldés 9-15 napon belül
18 803 Ft
The design patterns in this book capture best practices and solutions to recurring problems in machi...

Információk a könyvről

Szerző
Sara Robinson, Michael Munn
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2020
oldal
400
EAN
9781098115784
ISBN
1098115783
Enbook ID
33025637
Kiadó
O'Reilly Media
Súly
696
Méretek
233 x 177 x 25

Teljes leírás

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.

Érdekelheti

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Deep Learning

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System Design Interview - An insider's guide, Second Edition

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Machine Learning Engineering

Andriy Burkov
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Pattern Recognition and Machine Learning

Christopher M. Bishop
28 409 Ft

Refactoring

Martin Fowler
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Pattern Recognition and Machine Learning

Bishop
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Effective DevOps

Jennifer Davis
14 353 Ft

Essential Math for Data Science

Thomas Nield
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Building Applications with AI Agents

ALBADA MICHAEL
22 723 Ft

Clean Code

Robert C. Martin
19 171 Ft

Practical MLOps

Noah Gift
25 501 Ft

Software Architecture: The Hard Parts

Mark Richards
22 723 Ft

Build a Large Language Model (from Scratch)

Sebastian Raschka
21 608 Ft

Surrounded by Idiots

Thomas Erikson
4 333 Ft

Real Time Multi Object Detection and Tracking Using Deep Learning

Bosco Paul Alapatt
13 454 Ft

Graph Representation Learning

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Object Tracking Using Hybrid Mean Shift & Particle Filter Algorithms

Asad Naeem
23 774 Ft

Pattern Recognition and Tracking Using Correlation Filters

Sharif M a Bhuiyan
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An Introduction to Statistical Learning

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Building Machine Learning Powered Applications

Emmanuel Ameisen
18 803 Ft

Visual Object Tracking with Deep Neural Networks

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Analytic Combinatorics for Multiple Object Tracking

Murat Efe
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Analytical Skills for AI and Data Science

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

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Generative Deep Learning

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

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AI Engineering

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Natural Language Processing with Transformers, Revised Edition

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Hands-On Large Language Models

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Elements of Statistical Learning

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Introducing MLOps

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Game Programming Patterns

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Practical Statistics for Data Scientists

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Machine Learning with PyTorch and Scikit-Learn

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Building Microservices

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Semantic Modeling for Data

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Cloud Native Data-Center Networking

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Digital Image Processing, Global Edition

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Design for How People Think

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Feature Engineering for Machine Learning

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Thoughtful Machine Learning with Python

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Communication Patterns

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Mathematics for Machine Learning

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Designing for Behavior Change

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Articulating Design Decisions

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Deep Learning with Python

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