BOOKS - NETWORK TECHNOLOGIES - Learning Techniques for the Internet of Things
Learning Techniques for the Internet of Things - Praveen Kumar Donta, Abhishek Hazra, Lauri Loven 2024 PDF | EPUB Springer BOOKS NETWORK TECHNOLOGIES
ECO~15 kg CO²

1 TON

Views
6030

Telegram
 
Learning Techniques for the Internet of Things
Author: Praveen Kumar Donta, Abhishek Hazra, Lauri Loven
Year: 2024
Pages: 334
Format: PDF | EPUB
File size: 31.7 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Python Machine Learning Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning
Hands-On Q-Learning with Python: Practical Q-learning with OpenAI Gym, Keras, and TensorFlow
Learning Decorative Stitches - the Art of Shirring and Smocking (Learning Series Book 11)
Learning and Not Learning in the Heritage Language Classroom: Engaging Mexican-Origin Students
Binary Representation Learning on Visual Images Learning to Hash for Similarity Search
Artificial Intelligence and Machine Learning Foundations Learning from experience, 2nd Edition
Artificial Intelligence and Machine Learning Foundations Learning from experience, 2nd Edition
e-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning
Machine Learning Master Supervised and Unsupervised Learning Algorithms with Real Examples
Enneagram: Visible Learning and Deep Learning Book for Highly Sensitive Person
Binary Representation Learning on Visual Images Learning to Hash for Similarity Search
Binary Representation Learning on Visual Images: Learning to Hash for Similarity Search
Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection
Connected Science: Strategies for Integrative Learning in College (Scholarship of Teaching and Learning)
Action Learning in Schools: Reframing Teachers| Professional Learning and Development
Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)
Silent Moments in Education: An Autoethnography of Learning, Teaching, and Learning to Teach
Disease Prediction using Machine Learning, Deep Learning and Data Analytics
Shake Up Learning: Practical Ideas to Move Learning from Static to Dynamic
Active Learning Spaces: New Directions for Teaching and Learning, Number 137
Service Learning in Grades K-8: Experiential Learning That Builds Character and Motivation
Federated Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Disease Prediction using Machine Learning, Deep Learning and Data Analytics
Learning TensorFlow.js Powerful Machine Learning in javascript
Building Intelligent Systems Using Machine Learning and Deep Learning Security, Applications and Its Challenges
Python AI Programming Navigating fundamentals of ML, Deep Learning, NLP, and reinforcement learning in practice
Risk Modeling Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Python AI Programming: Navigating fundamentals of ML, deep learning, NLP, and reinforcement learning in practice
Python AI Programming Navigating fundamentals of ML, Deep Learning, NLP, and reinforcement learning in practice
Building Intelligent Systems Using Machine Learning and Deep Learning Security, Applications and Its Challenges
Transformative Learning through Creative Life Writing: Exploring the self in the learning process by Celia Hunt (2013-08-18)
Leveraging the ePortfolio for Integrative Learning: A Faculty Guide to Classroom Practices for Transforming Student Learning
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)
Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
Statistical Reinforcement Learning Modern Machine Learning Approaches
Design for Learning: User Experience in Online Teaching and Learning
STEM Learning Is Everywhere:: Summary of a Convocation on Building Learning Systems