BOOKS - PROGRAMMING - Machine Learning Theory and Applications Hands-on Use Cases wit...
Machine Learning Theory and Applications Hands-on Use Cases with Python on Classical and Quantum Machines - Xavier Vasques 2024 PDF Wiley BOOKS PROGRAMMING
ECO~19 kg CO²

2 TON

Views
90633

Telegram
 
Machine Learning Theory and Applications Hands-on Use Cases with Python on Classical and Quantum Machines
Author: Xavier Vasques
Year: 2024
Pages: 510
Format: PDF
File size: 38.9 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Data Science and Machine Learning Applications in Subsurface Engineering
Supervised Machine Learning Optimization Framework and Applications with SAS and R
An Introduction to Optimization With Applications to Machine Learning, 5th Edition
Applications of Deep Machine Learning in Future Energy Systems
Applications of Deep Machine Learning in Future Energy Systems
Data Science and Machine Learning Applications in Subsurface Engineering
Python for Machine Learning: From Fundamentals to Real-World Applications
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems Second Edition (Third Release)
Recent Advances in Logo Detection Using Machine Learning Paradigms Theory and Practice
Recent Advances in Logo Detection Using Machine Learning Paradigms Theory and Practice
Hands-on Application Development using Spring Boot Building Modern Cloud Native Applications by Learning RESTFul API
Fundamentals and Methods of Machine and Deep Learning Algorithms, Tools, and Applications
Introduction to Machine Learning with Applications in Information Security 2nd Edition
No-Code AI Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms
Handbook of Machine Learning for Computational Optimization Applications and Case Studies
Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications
Machine Learning Refined Foundations, Algorithms and Applications. 2nd Edition
No-Code AI Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms
Artificial Intelligence and Machine Learning with R Applications in the Field of Business Analytics
Machine Learning for Materials Discovery Numerical Recipes and Practical Applications
Digital Watermarking for Machine Learning Model: Techniques, Protocols and Applications
Machine Learning for Materials Discovery Numerical Recipes and Practical Applications
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems Second Edition (Early Release)
Hands-on ML Projects with OpenCV Master computer vision and Machine Learning using OpenCV and Python
Introduction to Machine Learning with Security Theory and Practice Using Python in the Cloud, 2nd Edition
The Demand for Life Insurance: Dynamic Ecological Systemic Theory Using Machine Learning Techniques
Hands-On Natural Language Processing with PyTorch 1.x: Build smart, AI-driven linguistic applications using deep learning and NLP techniques
Introduction to Python With Applications in Optimization, Image and Video Processing, and Machine Learning
Metaheuristics for Machine Learning: New Advances and Tools (Computational Intelligence Methods and Applications)
Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata (Statistics and Computing)
Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro
Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Introduction to Python With Applications in Optimization, Image and Video Processing, and Machine Learning
Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases
Machine Learning and Big data Concepts, Algorithms, Tools and Applications
Practical Guide to Machine Learning, NLP, and Generative AI Libraries, Algorithms, and Applications
Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python (English Edition)
Machine Learning for Beginners An Introductory Guide to Learn and Understand Artificial Intelligence, Neural Networks and Machine Learning