BOOKS - PROGRAMMING - Introduction to Machine Learning (Adaptive Computation and Mach...
Introduction to Machine Learning (Adaptive Computation and Machine Learning), 4th Edition - Ethem Alpaydin 2020 EPUB The MIT Press BOOKS PROGRAMMING
ECO~23 kg CO²

2 TON

Views
62219

Telegram
 
Introduction to Machine Learning (Adaptive Computation and Machine Learning), 4th Edition
Author: Ethem Alpaydin
Year: 2020
Pages: 712
Format: EPUB
File size: 10 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Python Machine Learning For Beginners An introduction to neural networks and a brief overview of the processes you need to know when programming computers and coding with Python
Practical Automated Machine Learning on Azure Using Azure Machine Learning to Quickly Build AI Solutions, First Edition
Machine Learning with Rust: A practical attempt to explore Rust and its libraries across popular machine learning techniques
Machine Learning with Python Comprehensive Beginner’s Guide to Machine Learning in Python with Exercises and Case Studies
Machine Learning with Rust A practical attempt to explore Rust and its libraries across popular Machine Learning techniques
Python Machine Learning: Leveraging Python for Implementing Machine Learning Algorithms and Applications (2023 Guide)
Introduction to Python: With Applications in Optimization, Image and Video Processing, and Machine Learning (Chapman and Hall CRC The Python Series)
Image Processing and Machine Learning, Volume 2 Advanced Topics in Image Analysis and Machine Learning
Machine Learning for Finance Beginner|s guide to explore machine learning in banking and finance
Machine Learning With Python A Comprehensive Beginners Guide to Learn the Realms of Machine Learning with Python
The Definitive Guide to Machine Learning Operations in AWS Machine Learning Scalability and Optimization with AWS
Machine Learning A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine Learning
Google JAX Essentials A quick practical learning of blazing-fast library for Machine Learning and Deep Learning projects
Introduction to the Theory of Computation
Introduction to Adaptive Arrays, 2nd Edition
Shallow Learning vs. Deep Learning A Practical Guide for Machine Learning Solutions
Shallow Learning vs. Deep Learning A Practical Guide for Machine Learning Solutions
Ultimate Java for Data Analytics and Machine Learning: Unlock Java|s Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j (English Edition)
Ultimate Machine Learning with Scikit-Learn Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and Unlock Deeper Insights Into Machine Learning
Ultimate Machine Learning with Scikit-Learn Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and Unlock Deeper Insights Into Machine Learning
Ultimate Machine Learning with Scikit-Learn Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and Unlock Deeper Insights Into Machine Learning
Machine Learning For Beginners Step-by-Step Guide to Machine Learning, a Beginners Approach to Artificial Intelligence, Big Data, Basic Python Algorithms, and Techniques for Business (Practical Exampl
Python Machine Learning: Everything You Should Know About Python Machine Learning Including Scikit Learn, Numpy, PyTorch, Keras And Tensorflow With Step-By-Step Examples And PRACTICAL Exercises
Ultimate Java for Data Analytics and Machine Learning Unlock Java|s Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j
Ultimate Java for Data Analytics and Machine Learning Unlock Java|s Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j
Artificial Intelligence What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future
Machine Learning Infrastructure and Best Practices for Software Engineers: Take your machine learning software from a prototype to a fully fledged software system
Ultimate Machine Learning with Scikit-Learn: Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and Unlock … Into Machine Learning (English Editi
Adaptive Learning and the Human Condition
Machine Learning in Python Hands on Machine Learning with Python Tools, Concepts and Techniques
Machine Learning with Python Advanced and Effective Strategies Using Machine Learning with Python Theories
Cracking The Machine Learning Interview 225 Machine Learning Interview Questions with Solutions
Machine Learning For Beginners A Comprehensive Beginners Guide To Machine Learning, No Experience Required!
Machine Learning Step-by-Step Guide To Implement Machine Learning Algorithms with Python
Mastering Classification Algorithms for Machine Learning: Learn how to apply Classification algorithms for effective Machine Learning solutions (English Edition)
Computation and Simulation for Finance An Introduction with Python
Introduction to the Theory of Computation, 3rd Edition
Computation and Simulation for Finance An Introduction with Python
An Introduction to Self-adaptive Systems A Contemporary Software Engineering Perspective
Machine Learning With Python Programming 2023 A Beginners Guide The Definitive Guide to Mastering Machine Learning in Python and a Problem-Guide Solver to Creating Real-World Intelligent Systems