BOOKS - PROGRAMMING - Mathematical Analysis of Machine Learning Algorithms
Mathematical Analysis of Machine Learning Algorithms - Tong Zhang 2023 PDF Cambridge University Press BOOKS PROGRAMMING
ECO~18 kg CO²

1 TON

Views
81641

Telegram
 
Mathematical Analysis of Machine Learning Algorithms
Author: Tong Zhang
Year: 2023
Pages: 469
Format: PDF
File size: 10.1 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Network Science Analysis and Optimization Algorithms for Real-World Application
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
Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning
Deep Learning for Finance Creating Machine & Deep Learning Models for Trading in Python
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
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
Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences, Fourteenth Edition
Essays on Fourier Analysis in Honor of Elias M. Stein (PMS-42) (Princeton Mathematical Series, 45)
Spectral Analysis of Economic Time Series. (PSME-1) (Princeton Studies in Mathematical Economics)
Higher Mathematics for Engineering Students: Part 1, Linear Algebra and Fundamentals of Mathematical Analysis
Learn Autonomous Programming with Python Utilize Python|s capabilities in Artificial Intelligence, Machine Learning, Deep Learning and robotic process automation
Learn Autonomous Programming with Python Utilize Python|s capabilities in Artificial Intelligence, Machine Learning, Deep Learning and robotic process automation
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)
Machine Learning and Deep Learning in Computational Toxicology (Computational Methods in Engineering and the Sciences)
Annals of Discrete Mathematics, Volume 25: Analysis and Design of Algorithms for Combinatorial Problems
An Elementary Approach to Design and Analysis of Algorithms (Primers in Electronics and Computer Science)
Easy Learning Data Structures & Algorithms Python 3 Data Structures and Algorithms Guide in Python
Information Theory, Inference, and Learning Algorithms
Deep Learning for 3D Vision Algorithms and Applications
Federated Learning From Algorithms to System Implementation
Federated Learning From Algorithms to System Implementation
Learning Algorithms Through Programming and Puzzle Solving
Various Deep Learning Algorithms in Computational Intelligence
Applied Learning Algorithms for Intelligent IoT
Rage Inside the Machine The Prejudice of Algorithms, and How to Stop the Internet Making Bigots of Us All
Machine Vision Inspection Systems Machine Learning-Based Approaches (Machine Vision Inspection Systems, Volume 2)
Analyzing Mathematical Patterns - Detection & Formulation Inductive Approach To Recognition, Analysis And Formulations
Analyzing Mathematical Patterns - Detection & Formulation Inductive Approach To Recognition, Analysis And Formulations
Recent Advances in Mathematical Analysis: Celebrating the 70th Anniversary of Francesco Altomare (Trends in Mathematics)
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)
Learn Autonomous Programming with Python: Utilize Python|s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation (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
Probability and Computing Randomization and Probabilistic Techniques in Algorithms and Data Analysis, 2nd Edition
Inside Deep Learning Math, Algorithms, Models
A Human|s Guide to Machine Intelligence How Algorithms Are Shaping Our Lives and How We Can Stay in Control