BOOKS - PROGRAMMING - Design of Intelligent Applications using Machine Learning and D...
Design of Intelligent Applications using Machine Learning and Deep Learning Techniques - Ramchandra S. Mangrulkar, Antonis Michalas, Narendra M. Shekokar, Meera Narvekar, Pallavi V. Chavan 2021 PDF CRC Press BOOKS PROGRAMMING
ECO~18 kg CO²

1 TON

Views
59137

Telegram
 
Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Author: Ramchandra S. Mangrulkar, Antonis Michalas, Narendra M. Shekokar, Meera Narvekar, Pallavi V. Chavan
Year: 2021
Pages: 447
Format: PDF
File size: 21,7 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Machine Learning Hybridization and Optimization for Intelligent Applications
Machine Learning Hybridization and Optimization for Intelligent Applications
Intelligent Systems Modeling and Simulation III Artificial Intelligent, Machine Learning, Intelligent Functions and Cyber Security
Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing Theoretical Basics, Applications, and Challenges
Fusion of Machine Learning Paradigms: Theory and Applications (Intelligent Systems Reference Library Book 236)
Building Intelligent Systems Using Machine Learning and Deep Learning Security, Applications and Its Challenges
Building Intelligent Systems Using Machine Learning and Deep Learning Security, Applications and Its Challenges
Emerging Trends in Intelligent and Interactive Systems and Applications: Proceedings of the 5th International Conference on Intelligent, Interactive … in Intelligent Systems and Computing, 1304)
Ultimate Robotics Programming with ROS 2 and Python Design, Develop, and Implement Intelligent Robotics Applications with Advanced Navigation, Simulation, and Computer Visionfor Mobile and Industrial
Layered Design for Ruby on Rails Applications: Discover practical design patterns for maintainable web applications
Getting Started with SharePoint Framework (SPFx) Design and Build Engaging Intelligent Applications Using SharePoint Framework
Intelligent Data Analysis for Biomedical Applications Challenges and Solutions (Intelligent Data-Centric Systems Sensor Collected Intelligence)
Linear Algebra And Optimization With Applications To Machine Learning - Volume II Fundamentals of Optimization Theory with Applications to Machine Learning
Python Machine Learning Understand Python Libraries (Keras, NumPy, Scikit-lear, TensorFlow) for Implementing Machine Learning Models in Order to Build Intelligent Systems
Machine-to-Machine (M2M) Communications Architecture, Performance and Applications
Machine Learning and Optimization for Engineering Design (Engineering Optimization: Methods and Applications)
Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python
Implementing Design Patterns in C# 11 and .NET 7 Learn how to design and develop robust and scalable applications using design patterns, 2nd Edition
Hands-On System Design Learn System Design, Scaling Applications, Software Development Design Patterns with Real Use-Cases
Hands-On System Design Learn System Design, Scaling Applications, Software Development Design Patterns with Real Use-Cases
Intelligent Network Management and Control Intelligent Security, Multi-criteria Optimization, Cloud Computing, Internet of Vehicles, Intelligent Radio
Intelligent Prognostics for Engineering Systems with Machine Learning Techniques
Intelligent Networks Principles and applications
Revolutionary Applications of Intelligent Drones
Machine Learning With Python Programming 2023 A Beginners Guide The Definitive Guide to Mastering Machine Learning in Python and a Problem-Guide Solver to Creating Real-World Intelligent Systems
Machine Learning With Python Programming 2023 A Beginners Guide The Definitive Guide to Mastering Machine Learning in Python and a Problem-Guide Solver to Creating Real-World Intelligent Systems
Platform and Model Design for Responsible AI: Design and build resilient, private, fair, and transparent machine learning models
Applied Machine Learning and High-Performance Computing on AWS: Accelerate the development of machine learning applications following architectural best practices
Online Machine Learning: A Practical Guide with Examples in Python (Machine Learning: Foundations, Methodologies, and Applications)
Machine Learning for Materials Discovery: Numerical Recipes and Practical Applications (Machine Intelligence for Materials Science)
Artificial Intelligence and Machine Learning An Intelligent Perspective of Emerging Technologies
Artificial Intelligence and Machine Learning An Intelligent Perspective of Emerging Technologies
Intelligent Systems and Applications in Computer Vision
Learning Automata and Their Applications to Intelligent Systems
Intelligent Systems and Applications in Computer Vision
Semantic Technologies for Intelligent Industry 4.0 Applications
Data-Driven Systems and Intelligent Applications
Data-Driven Systems and Intelligent Applications
Intelligent Optimization Principles, Algorithms and Applications