Electronic Books

Total Books: 1 - 20 /29

A First Course in Statistical Inference

Offers a modern and accessible introduction to Statistical Inference, the science of inferring key information from data. ...

AI and IoT for smart city applications / Vincenzo Piuri, Rabindra Nath Shaw, Ankush Ghosh, Rabiul Islam

Provides a valuable combination of relevant research works on developing smart city ecosystem from the artificial intelligence ...

Advance Concepts of Image Processing and Pattern Recognition : Effective Solution for Global Challenges / Narendra Kumar, Celia Shahnaz, Krishna Kumar, Mazin Abed Mohammed, Ram Shringar Raw

Explains the important concepts and principles of image processing to implement the algorithms and techniques to discover ...

Advances in Big Data Analytics: Theory, Algorithms and Practices / Yong Shi

Provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed ...

Artificial Intelligence with Python / Teik Toe Teoh, Zheng Rong

Introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. ...

Automated Machine Learning

This book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions ...

Big Data: An Art of Decision Making / Eglantine Schmitt

Manipulating and processing masses of digital data is never a purely technical activity. It requires an interpretative and ...

Data Journeys in the Sciences

This groundbreaking, book analyses and compares data practices across several fields through the analysis of specific cases ...

Data Science and Data Analytics : Opportunities and Challenges / Amit Kumar Tyagi

Gives the concept of data science, tools, and algorithms that exist for many useful applications Provides many challenges ...

Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets / Maria Cristina Mariani, Osei Kofi Tweneboah, Maria Pia Beccar-Varela

Delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various ...

Data Science on the Google Cloud Platform : Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning / Valliappa Lakshmanan

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build ...

Data Science-Based Full-Lifespan Management of Lithium-Ion Battery : Manufacturing, Operation and Reutilization

This book comprehensively consolidates studies in the rapidly emerging field of battery management. The primary focus is ...

Deep Learning with PyTorch Lightning: Build and train high-performance artificial intelligence and self-supervised models using Python / Kunal Sawarkar, Dheeraj Arremsetty

You’ll learn how to configure PyTorch Lightning on a cloud platform, understand the architectural components, and explore ...

Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems / Yusuf Aytas

Provides expert guidance and valuable insights on getting the most out of Big Data systems. Helps readers understand how ...

Driving digital transformation through data and AI : a practical guide to delivering data science and machine learning products / Alexander Borek, Nadine Prill

Explains how to build the organizational capability to deliver Data and AI products and drive immediate business results ...

Earth Observation Open Science and Innovation

The digital transformation is revolutionizing our ability to monitor our planet and transforming the way we access, process ...

Introduction to Data Systems

Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. ...

Introduction to Scientific Programming with Python

This book offers an initial introduction to programming for scientific and computational applications using the Python programming ...

Kernel Methods for Machine Learning with Math and Python : 100 Exercises for Building Logic / Joe Suzuki

Addresses the fundamentals of kernel methods for machine learning by considering relevant math problems and building Python ...

Machine Learning : The Basics / Alexander Jung

Approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...

Total Books: 1 - 20 /29