""Unlock the power of statistical learning with "Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning" by Olivier Catoni. This groundbreaking …
This book uncovers the stakes and possibilities of handling pandemic diseases with the help of Computational Intelligence, using cases and …
Elastic Stack, previously known as the ELK stack, is a log analysis solution that helps users ingest, process, and analyze …
Machine learning, the art of creating applications that learn from experience and data, has been around for many years. However, …
"Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. …
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I got this book as part of a short course in AI by Negnevitsky that I attended a while back. …
Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation …
A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them.
Take tiny steps to enter the big world of data science through this interesting guide About This Book - Learn …
Take tiny steps to enter the big world of data science through this interesting guide Key Features • Learn the …
Generative AI can transform your business by streamlining the process of creating text, images, and code. This book will show …
Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets …
R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in …
There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with …
Speech processing addresses various scientific and technological areas. It includes speech analysis and variable rate coding, in order to store …
From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized …
R has been the gold standard in applied machine learning for a long time. Surveys show that it is the …
Learn to build powerful machine learning models quickly and deploy large-scale predictive applicationsAbout This BookDesign, engineer and deploy scalable machine …
CONVERSATIONAL ARTIFICIAL INTELLIGENCEThis book reviews present state-of-the-art research related to the security of cloud computing including developments in conversational AI …
Evolutionary computation includes Genetic Algorithms, Evolutionary Programming, Evolution Strategies, and Genetic Programming. In general any population based, selectionist algorithm that …
Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex …
Key FeaturesGet to know seven algorithms for your data science needs in this concise, insightful guideEnsure you’re confident in the …
The proceedings of ECML/PKDD2003 are published in two volumes: the P- ceedings of the 14th European Conference on Machine Learning …
This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and …
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will …
Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which …
This book introduces Web developers to the advanced topic of machine learning and statistics in a clear and concise way, …
Deep learning doesn't have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such …
The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations …
Advancements in the technology and availability of data sources have led to the `Big Data' era. Working with large data …
Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural …
A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems: …
Machine Learning and Artificial Intelligence in Marketing and Sales explores the ideas, and the statistical and mathematical concepts, behind Artificial …
This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research …
