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Cracking the Machine Learning Code: Technicality or Innovation?

KC Santosh,Rodrigue Rizk,Siddhi K. Bajracharya

Intelligent Technologies and Robotics (R0)

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Langue :English
ISBN :9789819727209
Date de parution :9 mai 2024
Éditeur :Springer Nature Singapore

Marque éditoriale :Springer
Format de fichier :EPUB3
Taille de fichier :30.54 MB
Options de téléchargement :EPUB3 (Adobe DRM)

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Cracking the Machine Learning Code: Technicality or Innovation?

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Résumé

À propos de ce livre

Détails du livre

Détails sur l'accessibilité

Comment lire

Dans cette série

AI, Ethical Issues and Explainability—Applied Biometrics

Active Learning to Minimize the Possible Risk of Future Epidemics

Lectures semblables

Learn AI with Python

Hands-On Neural Networks

Mastering Reinforcement Learning with Python

Introduction to Machine Learning with Python

Machine Learning for Practical Decision Making

Interpretable AI

Data Science Handbook

Explainable Machine Learning in Medicine

Accelerating Discoveries in Data Science and Artificial Intelligence I

Advances in Artificial Intelligence and Data Engineering

Computational Intelligence in Data Science

Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

Advanced Network Technologies and Intelligent Computing

Data Management, Analytics and Innovation

Artificial Intelligence: Theory and Applications

Applied Computing for Software and Smart Systems

Emerging Technologies in Data Mining and Information Security

Data Science and Security

Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery

Synthetic Data for Deep Learning

Emerging Trends in Artificial Intelligence, Data Science and Signal Processing

Deep Sciences for Computing and Communications

Intelligent Computing and Communication

Evolution in Computational Intelligence

Evolutionary Artificial Intelligence

Multi-Strategy Learning Environment

Deep Sciences for Computing and Communications

Data Engineering and Data Science

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Big Data, Machine Learning, and Applications

Advanced Computing

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Intelligent Systems

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