Machine learning

Data Analytics: A Small Data Approach is suitable for an introductory data analytics course to help students understand some main statistical learning models.

Data Analytics: A Small Data Approach is suitable for an introductory data analytics course to help students understand some main statistical learning models.

This comprehensive reference text discusses concepts of intelligence communication and automation system in a single volume.

The significant amount of information available in any field requires a systematic and analytical approach to select the most critical information and anticipate major events.

Cyber-Security Threats, Actors, and Dynamic Mitigation provides both a technical and state-of-the-art perspective as well as a systematic overview of the recent advances in different facets of cyber-security.

Cyber-Security Threats, Actors, and Dynamic Mitigation provides both a technical and state-of-the-art perspective as well as a systematic overview of the recent advances in different facets of cyber-security.

Machine learning algorithms hold extraordinary promise, but the reality is that their success depends entirely on the suitability of the data available.

Machine learning algorithms hold extraordinary promise, but the reality is that their success depends entirely on the suitability of the data available.

Cloud computing is an indispensable part of the modern Information and Communication Technology (ICT) systems.

Cloud computing is an indispensable part of the modern Information and Communication Technology (ICT) systems.

The world of cybersecurity and the landscape that it possesses is changing on a dynamic basis.

In the constant battle between human intelligence and machine intelligence, machines are close to surpassing human intelligence.

In the constant battle between human intelligence and machine intelligence, machines are close to surpassing human intelligence.

Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day biologists.

Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day biologists.

Cognitive Computing is a new topic which aims to simulate human thought processes using computers that self-learn through data mining, pattern recognition, and natural language processing.

Digital images have several benefits, such as faster and inexpensive processing cost, easy storage and communication, immediate quality assessment, multiple copying while preserving quality, swift and economical reproduction, and adaptable manipulation.

Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence.

Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence.

Enabling Technologies for Next Generation Wireless Communications provides up-to-date information on emerging trends in wireless systems, their enabling technologies and their evolving application paradigms.

Advances in smart healthcare systems (SHS) and artificial intelligence (AI) domains highlight the need for ICT systems that aim not only to improve human quality of life but improve safety too.

Advances in smart healthcare systems (SHS) and artificial intelligence (AI) domains highlight the need for ICT systems that aim not only to improve human quality of life but improve safety too.

Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers, academicians, students and professionals interested in artificial intelligence (AI), sensor networks and Internet of Things (IoT).

Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers, academicians, students and professionals interested in artificial intelligence (AI), sensor networks and Internet of Things (IoT).

This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexing, template protection, spoofing attack detection, ROI detection, gender classification etc.

This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexing, template protection, spoofing attack detection, ROI detection, gender classification etc.

Since the emergence of contemporary area classifications, population geography has witnessed a renaissance in the area of policy related spatial analysis.

Since the emergence of contemporary area classifications, population geography has witnessed a renaissance in the area of policy related spatial analysis.

Industrial IoT (IIoT) and Industry 4.

With the emergence of Artificial Intelligence (AI) in the business world, a new era of Business Intelligence (BI) has been ushered in to create real-world business solutions using analytics.

With the emergence of Artificial Intelligence (AI) in the business world, a new era of Business Intelligence (BI) has been ushered in to create real-world business solutions using analytics.

This book covers the technology of digital image processing in various fields with big data and their applications.

This book covers the technology of digital image processing in various fields with big data and their applications.

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to research with invaluable image data.

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to research with invaluable image data.

The use of Electronic Health Records (EHR)/Electronic Medical Records (EMR) data is becoming more prevalent for research.

The use of Electronic Health Records (EHR)/Electronic Medical Records (EMR) data is becoming more prevalent for research.

This book describes the uses of different mathematical modeling and soft computing techniques used in epidemiology for experiential research in projects such as how infectious diseases progress to show the likely outcome of an epidemic, and to contribute to public health interventions.

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods.

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods.

Information Security and Optimization maintains a practical perspective while offering theoretical explanations.

Information Security and Optimization maintains a practical perspective while offering theoretical explanations.

Based on interdisciplinary research into "e;Directional Change"e;, a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring and algorithmic trading.

Artificial intelligence (AI) stands out as a transformational technology of the digital age.

Artificial intelligence (AI) stands out as a transformational technology of the digital age.

Using the implementation of a deep learning framework as an example, C++ Template Metaprogramming in Practice: A Deep Learning Framework explains the application of metaprogramming in a relatively large project and emphasizes ways to optimize systems performance.

With the critical role of statistics in the design, conduct, analysis and reporting of clinical trials or observational studies intended for regulatory purposes, numerous guidelines have been issued by regulatory authorities around the world focusing on statistical issues related to drug development.

With the critical role of statistics in the design, conduct, analysis and reporting of clinical trials or observational studies intended for regulatory purposes, numerous guidelines have been issued by regulatory authorities around the world focusing on statistical issues related to drug development.

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book.

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book.