Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Pytho
Assembling a rich and diverse range of research studies on the role of plurilingualism across a wide variety of teaching and learning settings, this book supports teacher reflection and action in prac
Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era. It is u
The abundance of data and the rise of new quantitative and statistical techniques have led to a promising area: data analytics. In education and learning, big data analytics is being used to enhance t
The third edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish betw
While graphs are often the most natural way to represent the connections among data, the complexity of large graphs makes them conceptually difficult and computationally expensive to explore, query, a
Annotated Instructor's Edition contains solutions and other information appearing on an overprint of the student pages. Teaching method instructions are included as well as teaching tips, instructions
"This book is an introduction to numerical methods for students in engineering. It covers solution of equations, interpolation and data fitting, solution of differential equations, eigenvalue problems
Computational systems biology unifies the mechanistic approach of systems biologywith the data-driven approach of computational biology. Computational systems biology aims todevelop algorithms that un
Learning to perform complex action strategies is an important problem in the fields of artificial intelligence, robotics, and machine learning. Filled with interesting new experimental results, Learni
Python for Rookies is designed to help students learn how to program. Using the Python language as a tool, the approach taken teaches students the fundamentals of programming and re-enforces good
Learning to perform complex action strategies is an important problem in the fields of artificial intelligence, robotics and machine learning. Presenting interesting, new experimental results, "Learni
Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book vir
Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for th
This book addresses recent advances in mining, learning, and analysis of big volume of medical images. The book presents taxonomies, trends and issues such as veracity in distributive, dynamic, and di
Find out how Math Workshops engage students and increase learning. This practical book from bestselling author Dr. Nicki Newton explains why Math Workshops are effective and gives you step-by-step ins
There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive
This book introduces readers to the current status of smart learning in China by providing extensive and accurate data from different contexts of smart learning. In particular, it investigates smart l
This book constitutes the refereed post-conference proceedings of the International Conference on Machine Learning and Intelligent Communications, MLICOM 2016, held in Shanghai, China in August 2016.
Host family math nights at your elementary school! These events are a great way to get parents engaged in their children’s education and to promote math learning outside of the classroom. In this prac
Host family math nights at your elementary school! These events are a great way to get parents engaged in their children’s education and to promote math learning outside of the classroom. In this prac
Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and f
This book offers practical tools in Python to students of innovation, as well as competitive intelligence professionals, to track new developments in science, technology, and innovation. The book will
