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Pattern Recognition

R Deep Learning Projects

R is a popular programming language used by statisticians and mathematicians for statistical analysis, and is popularly used for deep learning. Deep Learning, as we all know, is one of the trending topics today, and is finding practical applications in a lot of domains.This book demonstrates end-to-end implementations of five re...

Deep Learning for Computer Vision with Python (1.2.1)

Welcome to the ImageNet Bundle of Deep Learning for Computer Vision with Python, the final volume in the series. This volume is meant to be the most advanced in terms of content, covering techniques that will enable you to reproduce results of state-of-the-art publications, papers, and talks. To help keep this work organized, I'...

Deep Learning for Computer Vision with Python (1.10)

Welcome to the Practitioner Bundle of Deep Learning for Computer Vision with Python! Thisvolume is meant to be the next logical step in your deep learning for computer vision educationafter completing the Starter Bundle.At this point, you should have a strong understanding of the fundamentals of parameterizedlearning, neural net...

Neural Networks with R

Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning.This book explains the niche aspects of neural networking and provides you with foundation to get s...

Pattern recognition: introduction, features, classifiers and principles

The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, ...

Создаем нейронную сеть

Эта книга представляет собой введение в теорию и практику создания нейронных сетей. Она предназначена для тех, кто хочет узнать, что такое нейронные сети, где они применяются и как самому создать такую сеть, не имея опыта работы в данной области. Автор простым и понятным языком объясняет теоретические аспекты, знание которых нео...

Python Machine Learning (2nd)

Key FeaturesSecond edition of the bestselling book on Machine LearningA practical approach to key frameworks in data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningGet to know the best practices to improve and optimize your machine learning system...

Mastering Machine Learning with Spark 2.x

Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorialAbout This BookProcess and analyze big data in a distributed and scalable wayWrite sophisticated Spark pipelines that incorporate elaborate extractionBuild and use regression models to predict fligh...