BOOKS - PROGRAMMING - Machine Learning Refined Foundations, Algorithms and Applicatio...
Machine Learning Refined Foundations, Algorithms and Applications. 2nd Edition - Jeremy Watt, Reza Borhani, Aggelos Katsaggelos 2020 PDF Cambridge University Press BOOKS PROGRAMMING
ECO~19 kg CO²

2 TON

Views
44074

Telegram
 
Machine Learning Refined Foundations, Algorithms and Applications. 2nd Edition
Author: Jeremy Watt, Reza Borhani, Aggelos Katsaggelos
Year: 2020
Pages: 594
Format: PDF
File size: 20,5 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Machine Learning with Python Foundations and Applications ML, Volume 1
Machine Learning for Healthcare Systems Foundations and Applications
Grokking Algorithms Simple and Effective Methods to Grokking Deep Learning and Machine Learning
Machine Learning Algorithms in Depth (Final Release)
Mathematics for Machine Learning A Deep Dive into Algorithms
Easily Practical Machine Learning Algorithms with Python
Machine Learning Algorithms in Depth (Final Release)
Machine Learning Algorithms Using Scikit and TensorFlow Environments
Introduction to Algorithms for Data Mining and Machine Learning
The Comprehensive Guide to Machine Learning Algorithms and Techniques
The Comprehensive Guide to Machine Learning Algorithms and Techniques
Machine Learning Algorithms Using Scikit and TensorFlow Environments
A Brief Introduction to Machine Learning for Engineers (Foundations and Trends(r) in Signal Processing)
Fundamentals and Methods of Machine and Deep Learning Algorithms, Tools, and Applications
Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and Engineers
Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification
Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Vectorization A Practical Guide to Efficient Implementations of Machine Learning Algorithms
Practical Guide to Machine Learning, NLP, and Generative AI Libraries, Algorithms, and Applications
Machine Learning for Signal Processing Data Science, Algorithms, and Computational Statistics
Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms
Machine Learning and Big data Concepts, Algorithms, Tools and Applications
Genetic Algorithms and Machine Learning for Programmers Create AI Models and Evolve Solutions
Learning OpenCV 5 Computer Vision with Python, Fourth Edition: Tackle computer vision and machine learning with the newest tools, techniques and algorithms
A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples). (Artificial Intelligence Book 1)
Simple Machine Learning for Programmers Beginner|s Intro to Using Machine Learning, Deep Learning, and Artificial Intelligence for Practical Applications
Machine Learning for Beginners A Complete and Phased Beginner’s Guide to Learning and Understanding Machine Learning and Artificial Intelligence Algoritms
Unsupervised Domain Adaptation: Recent Advances and Future Perspectives (Machine Learning: Foundations, Methodologies, and Applications)
Machine Learning for Business How to Build Artificial Intelligence through Concepts of Statistics, Algorithms, Analysis, and Data Mining
Machine Learning for Healthcare Systems: Foundations and Applications (River Publishers Series in Computing and Information Science and Technology)
Machine Learning The Ultimate Beginners Guide For Neural Networks, Algorithms, Random Forests and Decision Trees Made Simple
Python Machine Learning The Ultimate Guide for Beginners to Machine Learning with Python, Programming and Deep Learning, Artificial Intelligence, Neural Networks, and Data Science
Mastering OpenCV with Python Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Machine Learning Mastery A Comprehensive Guide to Unlocking the Power of Artificial Intelligence from Theory to Application, Master the Techniques and Algorithms that Drive AI Innovation
Machine Learning Mastery: A Comprehensive Guide to Unlocking the Power of Artificial Intelligence from Theory to Application, Master the Techniques and Algorithms that Drive AI Innovation
Machine Learning Mastery A Comprehensive Guide to Unlocking the Power of Artificial Intelligence from Theory to Application, Master the Techniques and Algorithms that Drive AI Innovation
Quantum Computing and Artificial Intelligence Training Machine and Deep Learning Algorithms on Quantum Computers
Quantum Machine Learning Quantum Algorithms and Neural Networks