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Scala for Machine Learning, Second Edition
Leverage Scala and Machine Learning to study and construct systems that can learn from dataAbout This Book* Explore a broad variety of data processing, machine learning, and genetic algorithms through diagrams, mathematical formulation, and updated source code in Scala* Take your expertise in Scala programming to the next level by creating and customizing AI applications* Experiment with different techniques and evaluate their benefits and limitations using real-world applications in a tutorial styleWho This Book Is ForIf you're a data scientist or a data analyst with a fundamental knowledge of Scala who wants to learn and implement various Machine learning techniques, this book is for you. ...
Scala for Machine Learning
Are you curious about AI? All you need is a good understanding of the Scala programming language, a basic knowledge of statistics, a keen interest in Big Data processing, and this book!
Introduction to Learning Classifier Systems
This accessible introduction shows the reader how to understand, implement, adapt, and apply Learning Classifier Systems (LCSs) to interesting and difficult problems. The text builds an understanding from basic ideas and concepts. The authors first explore learning through environment interaction, and then walk through the components of LCS that form this rule-based evolutionary algorithm. The applicability and adaptability of these methods is highlighted by providing descriptions of common methodological alternatives for different components that are suited to different types of problems from data mining to autonomous robotics. The authors have also paired exercises and a simple educational LCS (eLCS) algorithm (implemented in Python) with this book. It is suitable for courses or self-study by advanced undergraduate and postgraduate students in subjects such as Computer Science, Engineering, Bioinformatics, and Cybernetics, and by researchers, data analysts, and machine learning practitioners.
Learning Cascading
This book is intended for software developers, system architects and analysts, big data project managers, and data scientists who wish to deploy big data solutions using the Cascading framework. You must have a basic understanding of the big data paradigm and should be familiar with Java development techniques.
Scala:Applied Machine Learning
Leverage the power of Scala and master the art of building, improving, and validating scalable machine learning and AI applications using Scala's most advanced and finest featuresAbout This Book- Build functional, type-safe routines to interact with relational and NoSQL databases with the help of the tutorials and examples provided- Leverage your expertise in Scala programming to create and customize your own scalable machine learning algorithms - Experiment with different techniques; evaluate their benefits and limitations using real-world financial applications - Get to know the best practices to incorporate new Big Data machine learning in your data-driven enterprise and gain future scala...
Studies in Philology
None
Agriculture in the Middle Ages
Explores the cultural framework within which changes in agricultural technology and economic organization occur and the ways in which changes in the social fabric influence attitudes toward rural work and the peasantry.
The Names of the Fallen
Este Libro en un enfoque diferente critica a las instituciones y gobiernos que hicieron posible que este conflicto empezara. Ademas es un sincero homenaje al valor y el sacrificio de los honorables soldados norteamericanos y mienbros de la coalicion que perdieron sus vidas; al pueblo de Iraq que sufrio las horrendas consequencias de la guerra en forma directa.
