BOOKS - PROGRAMMING - Lie Group Machine Learning
Lie Group Machine Learning - Fanzhang Li 2019 PDF de Gruyter BOOKS PROGRAMMING
ECO~19 kg CO²

2 TON

Views
37477

Telegram
 
Lie Group Machine Learning
Author: Fanzhang Li
Year: 2019
Pages: 533
Format: PDF
File size: 14 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Learn AI with Python Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn
Agricultural Informatics Automation Using the IoT and Machine Learning (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)
Learning Google Cloud Vertex AI: Build, deploy, and manage machine learning models with Vertex AI (English Edition)
Machine Learning With Python 3 books in 1 Hands-On Learning for Beginners+An in-Depth Guide Beyond the Basics+A Practical Guide for Experts
Quantum AI Machine Learning and Deep Learning for Everyone A Beginners Guide to Unlocking Business Opportunities by Leveraging the power of AI in Quantum Age
Artificial Intelligence For Business How Your Company Can Make More Profit with Machine Learning, Data Science, Big Data, and Deep Learning
Quantum AI Machine Learning and Deep Learning for Everyone A Beginners Guide to Unlocking Business Opportunities by Leveraging the power of AI in Quantum Age
Artificial Intelligence 4 books in 1 AI For Beginners + AI For Business + Machine Learning For Beginners + Machine Learning And Artificial Intelligence
Learning Pandas 2.0: A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals
Machine Learning For Beginners Guide Algorithms Supervised & Unsupervsied Learning. Decision Tree & Random Forest Introduction
Deep Learning for Finance Creating Machine & Deep Learning Models for Trading in Python
Learning Google Cloud Vertex AI Build, deploy, and manage machine learning models with Vertex AI
Learning Google Cloud Vertex AI Build, deploy, and manage machine learning models with Vertex AI
Human-in-the-Loop Machine Learning Active learning, annotation and human-computer interaction (MEAP)
Deep Learning for Finance Creating Machine & Deep Learning Models for Trading in Python
Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning
From Machine Learning To Deep Learning
Learn AI with Python: Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras
Learn Autonomous Programming with Python Utilize Python|s capabilities in Artificial Intelligence, Machine Learning, Deep Learning and robotic process automation
Python Programming The Crash Course for Python – Learn the Secrets of Machine Learning, Data Science Analysis and Artificial Intelligence. Introduction to Deep Learning for Beginners
Deep Learning and AI Superhero Mastering TensorFlow, Keras, and PyTorch Advanced Machine Learning and AI, Neural Networks, and Real-World Projects (Mastering the AI Revolution)
Learn Autonomous Programming with Python Utilize Python|s capabilities in Artificial Intelligence, Machine Learning, Deep Learning and robotic process automation
Machine Learning and Deep Learning in Computational Toxicology (Computational Methods in Engineering and the Sciences)
Grokking Algorithms Simple and Effective Methods to Grokking Deep Learning and Machine Learning
Python Programming The Crash Course for Python Projects – Learn the Secrets of Machine Learning, Data Science Analysis and Artificial Intelligence. Introduction to Deep Learning for Beginners
Machine Vision Inspection Systems Machine Learning-Based Approaches (Machine Vision Inspection Systems, Volume 2)
Learn Autonomous Programming with Python: Utilize Python|s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation (English Edition)
Practical Mathematics for AI and Deep Learning: A Concise yet In-Depth Guide on Fundamentals of Computer Vision, NLP, Complex Deep Neural Networks and Machine Learning (English Edition)
Supervised Machine Learning with Python: A Comprehensive guide to Supervised Learning for 2024
Supervised Machine Learning with Python A Comprehensive guide to Supervised Learning for 2024
Supervised Machine Learning with Python A Comprehensive guide to Supervised Learning for 2024
Python Programming, Deep Learning 3 Books in 1 A Complete Guide for Beginners, Python Coding for AI, Neural Networks, & Machine Learning, Data Science/Analysis with Practical Exercises for Learners
Learning ACT for Group Treatment: An Acceptance and Commitment Therapy Skills Training Manual for Therapists
Learning OpenCV 5 Computer Vision with Python, Fourth Edition: Tackle computer vision and machine learning with the newest tools, techniques and algorithms
Machine Learning Techniques and Analytics for Cloud Security (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)
Machine Learning: The New AI
Machine Learning
MACHINE LEARNING
Machine Learning The New AI
Python Programming, Deep Learning: 3 Books in 1: A Complete Guide for Beginners, Python Coding for AI, Neural Networks, and Machine Learning, Data Science Analysis … Learners (Python Programming