Adaptive Big Data Pipelines /

Kaydedildi:

Detaylı Bibliyografya
Yazar:	Orozco Gómez Serrano, Aldo (autor)
Materyal Türü:	Tez Kitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Guadalajara, México : edición de autor, 2020
Konular:	Líneas de Transmisión de Datos - > Tema Principal Transmisión de Datos Big Data Proceso Electrónico de Datos Tecnologías de Comunicación e Información Aprendizaje Automático (Inteligencia Artificial) Inteligencia Artificial Ingeniería Computacional
Online Erişim:	Ver documento en línea
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller: Adaptive Big Data Pipelines /

Hızlı Bakış
Machine Learning for Big Data Analysis /
Hızlı Bakış
Ingesta y modelado de datos de aerolíneas mediante un pipeline utilizando tecnología disponible en la nube /
Hızlı Bakış
Machine Intelligence, Big Data Analytics, and IoT in Image Processing : Practical Applications /
Hızlı Bakış
Big Data Challenges : Society, Security, Innovation and Ethics /
Hızlı Bakış
Autoencoders para manejo de clases desbalanceadas en problemas de propensión de compra /
Hızlı Bakış
Feature Engineering for Machine Learning and Data Analytics /
Hızlı Bakış
Big Data and Machine Learning in Quantitative Investment /
Hızlı Bakış
Recommendation System for Issues Found in R&D /
Hızlı Bakış
Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics : Concepts, Methodologies, Tools and Applications /
Hızlı Bakış
Machine Learning Design Patterns /
Hızlı Bakış
Big Data Analytics with Spark : A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing /
Hızlı Bakış
Feature Engineering Made Easy : Identify Unique Features From Your Dataset in Order to Build Powerful Machine Learning Systems /
Hızlı Bakış
Diseño de un sistema de recomendación usando algoritmos de aprendizaje máquina /
Hızlı Bakış
Feature Engineering for Machine Learning : Principles and Techniques for Data Scientists /
Hızlı Bakış
Feature Engineering for Machine Learning : Principles and Techniques for Data Scientists /
Hızlı Bakış
Machine Learning Upgrade : A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure /
Hızlı Bakış
Cognitive Intelligence and Big Data in Healthcare /
Hızlı Bakış
Statistical and Machine-Learning Data Mining : Techniques for Better Predictive Modeling and Analysis of Big Data /
Hızlı Bakış
Statistical and Machine-Learning Data Mining : Techniques for Better Predictive Modeling and Analysis of Big Data /
Hızlı Bakış
Statistical and Machine-Learning Data Mining : Techniques for Better Predictive Modeling and Analysis of Big Data /
Hızlı Bakış
Desarrollo de una red neuronal artificial para la predicción de velocidad y flujo del tráfico /
Hızlı Bakış
Big Data con Python : recolección, almacenamiento y proceso /
Hızlı Bakış
String Processing and Information Retrieval : 21st International Symposium, SPIRE 2014, Ouro Preto, Brazil, October 20-22, 2014 : Proceedings /
Hızlı Bakış
Data Science in Practice /