Suchergebnisse - Supervised Machine Learning with Python

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1101

Machine vision : theory, algorithms, practicalities

Davies, E. R.

3. ed.

Amsterdam : Elsevier [u.a.], 2005

Buch

1102

PySpark Cookbook : Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python

Lee, Denny (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2018

E-Book

1103

The Deep Learning with PyTorch Workshop : Build deep neural networks and artificial intelligence applications with PyTorch

Saleh, Hyatt (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2020

E-Book

1104

Machine-learning points at endoscopic, quality of life, and olfactory parameters as outcome criteria for endoscopic paranasal sinus surgery in chronic rhinosinusitis

Lötsch, Jörn (Verfasser)

Journal of Clinical Medicine. - Basel : MDPI, 2012-. - Online-Ressource. - ISSN 2077-0383. - Band 10, Heft 18 (2021), Seite 1-26, Artikel-ID: 4245

E-Artikel

1105

Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

Meints, Willem (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2019

E-Book

1106

Accelerate Deep Learning Workloads with Amazon SageMaker : Train, deploy, and scale deep learning models effectively using Amazon SageMaker

Dabravolski, Vadim (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2022

E-Book

1107

Pandas Cookbook : Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

Petrou, Theodore (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2017

E-Book

1108

Deep reinforcement learning in action

Brown, Brandon (Verfasser)

Video edition

[Place of publication not identified] : Manning Publications, 2020

Film

1109

Deep reinforcement learning in action

Zai, Alexander (Verfasser)

[First edition]

[Shelter Island, New York] : Manning Publications, 2020

eAudiobook

1110

Reinforcement Learning in Motion

Tabor, Phil (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Manning Publications, 2019

Film

1111

The Unsupervised Learning Workshop

Jones, Aaron (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2020

E-Book

1112

Deep Learning with PyTorch : A practical approach to building neural network models using PyTorch

Subramanian, Vishnu (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2018

E-Book

1113

Deep Learning Crash Course

Zeigermann, Oliver (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Manning Publications, 2019

Film

1114

Grokking Deep Learning in Motion

Carnes, Beau (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Manning Publications, 2019

Film

1115

Neural Networks with R : Smart models using CNN, RNN, deep learning, and artificial intelligence principles

Ciaburro, Giuseppe (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2017

E-Book

1116

Hands-On Vision and Behavior for Self-Driving Cars : Explore visual perception, lane detection, and object classification with Python 3 and OpenCV 4

Venturi, Luca (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2020

E-Book

1117

The Unsupervised Learning Workshop : Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions

Jones, Aaron (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2020

E-Book

1118

Practical guide to applied conformal prediction in Python : learn and apply the best uncertainty frameworks to your industry applications

Manokhin, Valery (Verfasser)

1st edition

Birmingham, UK : Packt Publishing Ltd., 2023

E-Book

1119

Practical Guide to Applied Conformal Prediction in Python : Learn and apply the best uncertainty frameworks to your industry applications

Manokhin, Valery (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2023

E-Book

1120

Predictive Analytics with TensorFlow : Implement deep learning principles to predict valuable insights using TensorFlow

Karim, Md (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2017

E-Book

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