BOOKS - PROGRAMMING - Applied Learning Algorithms for Intelligent IoT
Applied Learning Algorithms for Intelligent IoT - Pethuru Raj Chelliah, Usha Sakthivel, Susila Nagarajan 2021 PDF CRC Press BOOKS PROGRAMMING
ECO~15 kg CO²

1 TON

Views
84205

Telegram
 
Applied Learning Algorithms for Intelligent IoT
Author: Pethuru Raj Chelliah, Usha Sakthivel, Susila Nagarajan
Year: 2021
Pages: 369
Format: PDF
File size: 22,7 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Inside Deep Learning Math, Algorithms, Models
Machine Learning Toolbox for Social Scientists Applied Predictive Analytics with R
Applied Psycholinguistics: An introduction of the psychology of language learning and teaching (Heritage)
Machine Learning Toolbox for Social Scientists: Applied Predictive Analytics with R
Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras
Machine Learning Step-by-Step Guide To Implement Machine Learning Algorithms with Python
Deep Reinforcement Learning for Reconfigurable Intelligent Surfaces and UAV Empowered Smart 6G Communications
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing Use Cases and Emerging Challenges
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing Use Cases and Emerging Challenges
Inside Deep Learning Math, Algorithms, Models (MEAP)
Learning Algorithms A Programmer|s Guide to Writing Better Code
Evolutionary Deep Learning: Genetic algorithms and neural networks
Multimodal Scene Understanding Algorithms, Applications and Deep Learning
Algorithms and Discrete Applied Mathematics: 9th International Conference, CALDAM 2023, Gandhinagar, India, February 9-11, 2023, Proceedings (Lecture Notes in Computer Science)
Easy Learning Data Structures & Algorithms C++ Graphic Data Structures & Algorithms
Deep Learning Applications and Intelligent Decision Making in Engineering (Advances in Computational Intelligence and Robotics)
Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing Theoretical Basics, Applications, and Challenges
Practical Reinforcement Learning: Develop self-evolving, intelligent agents with OpenAI Gym, Python and Java
Design and Deploy Microsoft Defender for IoT: Leveraging Cloud-based Analytics and Machine Learning Capabilities
Design and Deploy Microsoft Defender for IoT Leveraging Cloud-based Analytics and Machine Learning Capabilities
Design and Deploy Microsoft Defender for IoT Leveraging Cloud-based Analytics and Machine Learning Capabilities
Emerging Trends in Intelligent and Interactive Systems and Applications: Proceedings of the 5th International Conference on Intelligent, Interactive … in Intelligent Systems and Computing, 1304)
Fundamentals and Methods of Machine and Deep Learning Algorithms, Tools, and Applications
Machine Learning Refined Foundations, Algorithms and Applications. 2nd Edition
Bioinformatics Algorithms an Active Learning Approach, Vol. 1 (2nd edition)
Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and Engineers
Bioinformatics Algorithms an Active Learning Approach, Vol. 2 (2nd edition)
Vectorization A Practical Guide to Efficient Implementations of Machine Learning Algorithms
Computer Vision Principles, Algorithms, Applications, Learning 5th Edition
Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Learning Algorithms A Programmer’s Guide to Writing Better Code (Early Release)
Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification
Evolutionary Deep Learning Genetic algorithms and neural networks (MEAP)
Machine Learning Safety (Artificial Intelligence: Foundations, Theory, and Algorithms)
Fusion of Machine Learning Paradigms: Theory and Applications (Intelligent Systems Reference Library Book 236)
Practical Automated Machine Learning on Azure Using AutoML to Build and Deploy Intelligent Solutions (Early Release)
Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics
Practical Guide to Machine Learning, NLP, and Generative AI Libraries, Algorithms, and Applications
Guide to Competitive Programming Learning and Improving Algorithms Through Contests, 3rd Edition