BOOKS - PROGRAMMING - Algorithmic Aspects of Machine Learning
Algorithmic Aspects of Machine Learning - Ankur Moitra 2018 PDF Cambridge University Press BOOKS PROGRAMMING
ECO~12 kg CO²

1 TON

Views
91858

Telegram
 
Algorithmic Aspects of Machine Learning
Author: Ankur Moitra
Year: 2018
Pages: 158
Format: PDF
File size: 10 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Practical Machine Learning for Data Analysis Using Python
The Comprehensive Guide to Machine Learning Algorithms and Techniques
Machine Learning for Financial Risk Management with Python
Machine Learning Applications From Computer Vision to Robotics
Application of Machine Learning in Slope Stability Assessment
Advanced Techniques in Optimization for Machine Learning and Imaging
Machine Learning Engineering in Action (MEAP Version 4)
Machine Learning Hands-On for Developers and Technical Professionals
Data Analytics in Bioinformatics A Machine Learning Perspective
Biological Pattern Discovery with R Machine Learning Approaches
Machine Learning with Python Cookbook, 2nd Edition
Machine Learning Algorithms Using Scikit and TensorFlow Environments
Machine Learning and IoT Applications for Health Informatics
Societal Impacts of Artificial Intelligence and Machine Learning
Multi-Agent Machine Learning A Reinforcement Approach
Mastering Computer Vision with PyTorch and Machine Learning
Societal Impacts of Artificial Intelligence and Machine Learning
Robust Machine Learning Distributed Methods for Safe AI
Artificial Intelligence and Machine Learning for Smart Community
Genomics at the Nexus of AI, Computer Vision, and Machine Learning
Cloud Native Machine Learning (MEAP Version 5)
Fundamentals of Machine Learning An Introduction to Neural Networks
Distributed Machine Learning Patterns (Final Release)
Hacker|s Guide to Machine Learning with Python
Machine Learning Applications From Computer Vision to Robotics
Feature Engineering for Machine Learning and Data Analytics
Python for AI Applying Machine Learning in Everyday Projects
Artificial Intelligence With an Introduction to Machine Learning, Second Edition
Machine Learning with TensorFlow, 2nd Edition (Final)
Advanced Techniques in Optimization for Machine Learning and Imaging
Practical Simulations for Machine Learning (Early Release)
Computational Formalism: Art History and Machine Learning
Real-Time Cloud Computing and Machine Learning Applications
Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide
Distributed Artificial Intelligence for 5G/6G Communications Frameworks with Machine Learning
Data Analytics and Machine Learning for Integrated Corridor Management
Machine Learning for Email Spam Filtering and Priority Inbox
Machine Learning for the Physical Sciences Fundamentals and Prototyping with Julia
Sustainable Materials The Role of Artificial Intelligence and Machine Learning
Introduction to Statistical and Machine Learning Methods for Data Science