""Get ready to dive into the fundamental concepts of computer science with "Introduction to the Theory of Computation" by Eitan …
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that …
'If you only read one book ... make this it!' L. Hunter Lovins, co-author of Natural Capitalism 'It is time …
Investment Valuation Tools and Techniques for Determining the Value of Any Asset Valuation is at the heart of every investment …
Harness the power of Apple iOS machine learning (ML) capabilities and learn the concepts and techniques necessary to be a …
Deep learning methods are achieving state-of-the-art results on challenging machine learning problems such as describing photos and translating text from …
Complicated many-particle problems abound in nature and in research alike. Plasma physics, statistical physics and condensed matter physics, as primary …
This book will serve as a foundation for a variety of useful applications of graph theory to computer vision, pattern …
1991, 2, 1: 3-28On the basis of a structural-naming reconstruction of scientific knowledge we give a description of the main …
Learn to explore and apply nursing theories with chapters written by the actual theorists themselves! This completely revised and updated …
A Mathematical Introduction to Logic, Second Edition, offers increased flexibility with topic coverage, allowing for choice in how to utilize …
The mathematical theory of contact mechanics is a growing field in engineering and scientific computing. This book is intended as …
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will …
Principles of Econometrics clearly shows why econometrics is necessary and provides you with the ability to utilize basic econometric tools. …
The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations …
The present study has been accepted as a doctoral thesis by the Depart ment of Economics of the Johann Wolfgang …
These notes correspond to a set of lectures given at the Univer sity of Alberta during the spring semester, 1973. …
Innovation and competition are driving analysts and data scientists toward increasingly complex predictive modeling and machine learning algorithms. This complexity …
Table of contents
Radiation is the one agent among all environmental factors which may damage biological systems that is not only easily quantifiable …
Nice book, in great condition and it got in the right place at the right time.
![Interpretable Machine Learning (2019) [Molnar] [9780244768522]](https://s3.refhub.ir/images/thumb/Interpretable_Machine_Learning__2019___Molnar_31477.webp)
