Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in …
Genetic Programming IV: Routine Human-Competitive Machine Intelligence presents the application of GP to a wide variety of problems involving automated …
This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with …
Maximize your NLP capabilities while creating amazing NLP projects in PythonAbout This BookLearn to implement various NLP tasks in PythonGain …
Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you …
Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python …
Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text …
Data fusion problems arise frequently in many different fields. This book provides a specific introduction to data fusion problems using …
Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural …
Over the last decade, text as data methods have exploded in popularity in the social sciences, digital humanities, and industry. …
An accessible and up-to-date treatment featuring the connection between neural networks and statisticsA Statistical Approach to Neural Networks for Pattern …
In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering: …
This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent …
This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of …
This book brings together the two disparate worlds of computational text analysis and biology and presents some of the latest …
Explore IoT, data analytics, and machine learning to solve cyber-physical problems using the latest capabilities of managed services such as …
Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary …
Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring …
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, …
Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. …
Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The …
This book is for practitioners, not for those seeking a deeper understanding of data mining. It both makes and delivers …
This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, …
The cross-entropy (CE) method is one of the most significant developments in stochastic optimization and simulation in recent years. This …
Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow. Key Features Build …
Key FeaturesDive deeper into data mining with Python – don't be complacent, sharpen your skills!From the most common elements of …
Discover the world of Artificial Intelligence (AI) and Machine Learning (ML) through the lens of Microsoft Excel with our comprehensive …
This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and …
Go beyond the basics and build complete applications using the Rust programming language, updated for Rust 2021 edition. The applications …
This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the …
Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and …
Pattern Recognition Algorithms for Data Mining covers the topic of data mining from a pattern recognition perspective. This unique book …