Tutorials, Books, Teaching Materials, and Lecture Notes For Students and Scientists
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Karol Grudziński
Contents
- Books, Book drafts, etc. on Artificial Intelligence, Machine Learning and Data Mining
Introduction to Machine Learning (AN EARLY DRAFT OF A PROPOSED TEXTBOOK BY NILS. J. NILSSON)
Wprowadzenie do Modelowania Predykcyjnego (betaandbit.github.io)
- Video Materials on Artificial Intelligence, Machine Learning, and Data Mining
Caltech Machine Learning Course
Lectures on Artificial Intelligence by Professor Dasgupta
Lecture 01 on Artificial Intelligence by Prof. Dasgupta - Introduction
Lecture 02 on Artificial Intelligence by Prof. Dasgupta - Problem Solving by Search
Lecture 03 on Artificial Intelligence by Prof. Dasgupta - Searching with Costs
Lecture 04 on Artificial Intelligence by Prof. Dasgupta- Informed State Space Search
Lecture 05 on Artificial Intelligence by Prof. Dasgupta - Heuristic Search : A* and Beyond
Lecture 06 on Artificial Intelligence by Prof. Dasgupta - Problem Reduction Search: AND/OR Graphs
Lecture 07 on Artificial Intelligence by Prof. Dasgupta - Searching Game Trees
Lecture 09 on Artificial Intelligence by Prof. Dasgupta - First Order Logic
Lecture 10 on Artificial Intelligence by Prof. Dasgupta - Inference in First Order Logic
Lecture 11 on Artificial Intelligence by Prof. Dasgupta - Resolution - Refutation Proofs
Lecture 12 on Artificial Intelligence by Prof. Dasgupta - Resolution Refutation Proofs
Lecture 13 on Artificial Intelligence by Prof. Dasgupta - Logic Programming : Prolog
Lecture 14 on Artificial Intelligence by Prof. Dasgupta - Prolog Programming
Lecture 15 on Artificial Intelligence by Prof. Dasgupta - Prolog: Exercising Control
Lecture 16 on Artificial Intelligence by Prof. Dasgupta - Additional Topics
Lecture 17 on Artificial Intelligence by Prof. Dasgupta - Introduction to Planning
Lecture 18 on Artificial Intelligence by Prof. Dasgupta - Partial Order Planning
Lecture 19 on Artificial Intelligence by Prof. Dasgupta - GraphPLAN and SATPlan
Lecture 20 on Artificial Intelligence by Prof. Dasgupta - SATPlan
Lecture 21 on Artificial Intelligence by Prof. Dasgupta - Reasoning Under Uncertainity
Lecture 22 on Artificial Intelligence by Prof. Dasgupta - Bayesian Networks
Lecture 23 on Artificial Intelligence by Prof. Dasgupta - Reasoning with Bayes Networks
Lecture 24 on Artificial Intelligence by Prof. Dasgupta - Reasoning with Bayes Networks (Contd.)
Lecture 25 on Artificial Intelligence by Prof. Dasgupta - Reasoning Under Uncertainity - Issues
Lecture 26 on Artificial Intelligence by Prof. Dasgupta - Learning: Decision Trees
Lecture 27 on Artificial Intelligence by Prof. Dasgupta - Learning: Neural Networks
Lecture 28 on Artificial Intelligence by Prof. Dasgupta - Backpropagation Learning
- Tutorials, Journals and Ebook Sites, Digital Press and Digital Library Links
http://adobe.com/products/digitaleditions/index.html (Adobe Digital Editions)
http://digital.library.upenn.edu/books/ (The online books page)
http://www.doaj.org (Directory of Open Access Journals)
http://www.intechopen.com (New!)
http://wbn.edu.pl/ (Wirtualna Biblioteka Nauki)