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
2218

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:

Get Your Hands Dirty on Clean Architecture A Hands-on Guide to Creating Clean Web Applications with Code Examples in Java
Get Your Hands Dirty on Clean Architecture: A hands-on guide to creating clean web applications with code examples in Java
Machine Learning in Trading: Step by step implementation of Machine Learning models
Deep Machine Learning Complete Tips and Tricks to Deep Machine Learning
Machine Learning in Microservices: Productionizing microservices architecture for machine learning solutions
Python Programming Advanced Applications and Features Object-Oriented Programming, Data Analysis, Artificial Intelligence and Machine Learning with Python
Evolutionary Multi-Task Optimization: Foundations and Methodologies (Machine Learning: Foundations, Methodologies, and Applications)
Mastering ChatGPT and Google Colab for Machine Learning Automate AI Workflows and Fast-Track Your Machine Learning Tasks with the Power of ChatGPT, Google Colab, and Python
Python Machine Learning Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence Using Python Code with Python Tricks
Machine-to-Machine (M2M) Communications Architecture, Performance and Applications
Machine Learning and Optimization for Engineering Design (Engineering Optimization: Methods and Applications)
Mastering Excel VBA and Machine Learning A Complete, Step-by-Step Guide To Learn and Master Excel VBA and Machine Learning From Scratch
Signal Processing and Machine Learning for Brain-Machine Interfaces
Machine Learning with Python Advanced Guide in Machine Learning with Python
Machine Learning with Python 3 in 1 Beginners Guide + Step by Step Methods + Advanced Methods and Strategies to Learn Machine Learning with Python
Machine Learning with Neural Networks An In-depth Visual Introduction with Python Make Your Own Neural Network in Python A Simple Guide on Machine Learning with Neural Networks
Game Theory in Wireless and Communication Networks Theory, Models, and Applications
Abstract Algebra Applications to Galois Theory, Algebraic Geometry, Representation Theory and Cryptography
Machine Learning with Python A Step-By-Step Guide to Learn and Master Python Machine Learning
Machine Learning Master Supervised and Unsupervised Learning Algorithms with Real Examples
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning
Artificial Intelligence and Machine Learning Foundations Learning from experience, 2nd Edition
Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems
Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection
Artificial Intelligence and Machine Learning Foundations Learning from experience, 2nd Edition
Disease Prediction using Machine Learning, Deep Learning and Data Analytics
Disease Prediction using Machine Learning, Deep Learning and Data Analytics
Federated Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Learning TensorFlow.js Powerful Machine Learning in javascript
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)
Machine Learning and Deep Learning in Natural Language Processing
Machine Learning and Deep Learning in Neuroimaging Data Analysis
Machine Learning and Deep Learning in Neuroimaging Data Analysis
Machine Learning and Deep Learning in Natural Language Processing
Statistical Reinforcement Learning Modern Machine Learning Approaches
Distributional Reinforcement Learning (Adaptive Computation and Machine Learning)
Machine Learning - A Journey To Deep Learning With Exercises And Answers
Abstract Algebra With Applications to Galois Theory, Algebraic Geometry, Representation Theory and Cryptography, 3rd edition