Efficient Implementations Of Machine Vision Algorithms Using A Dynamically Typed Programming Language
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Essentials of Data Science and Analytics
| Author | : Amar Sahay |
| Publisher | : Business Expert Press |
| Total Pages | : 440 |
| Release | : 2021-07-06 |
| Genre | : Business & Economics |
| ISBN | : 1631573462 |
Data science and analytics have emerged as the most desired fields in driving business decisions. Using the techniques and methods of data science, decision makers can uncover hidden patterns in their data, develop algorithms and models that help improve processes and make key business decisions. Data science is a data driven decision making approach that uses several different areas and disciplines with a purpose of extracting insights and knowledge from structured and unstructured data. The algorithms and models of data science along with machine learning and predictive modeling are widely used in solving business problems and predicting future outcomes. This book combines the key concepts of data science and analytics to help you gain a practical understanding of these fields. The four different sections of the book are divided into chapters that explain the core of data science. Given the booming interest in data science, this book is timely and informative.
Artificial Intelligence
| Author | : Lavanya Sharma |
| Publisher | : CRC Press |
| Total Pages | : 265 |
| Release | : 2021-10-28 |
| Genre | : Computers |
| ISBN | : 1000462676 |
Artificial Intelligence: Technologies, Applications, and Challenges is an invaluable resource for readers to explore the utilization of Artificial Intelligence, applications, challenges, and its underlying technologies in different applications areas. Using a series of present and future applications, such as indoor-outdoor securities, graphic signal processing, robotic surgery, image processing, character recognition, augmented reality, object detection and tracking, intelligent traffic monitoring, emergency department medical imaging, and many more, this publication will support readers to get deeper knowledge and implementing the tools of Artificial Intelligence. The book offers comprehensive coverage of the most essential topics, including: Rise of the machines and communications to IoT (3G, 5G). Tools and Technologies of Artificial Intelligence Real-time applications of artificial intelligence using machine learning and deep learning. Challenging Issues and Novel Solutions for realistic applications Mining and tracking of motion based object data image processing and analysis into the unified framework to understand both IoT and Artificial Intelligence-based applications. This book will be an ideal resource for IT professionals, researchers, under or post-graduate students, practitioners, and technology developers who are interested in gaining insight to the Artificial Intelligence with deep learning, IoT and machine learning, critical applications domains, technologies, and solutions to handle relevant challenges.
Implementations and Applications of Machine Learning
| Author | : Saad Subair |
| Publisher | : Springer Nature |
| Total Pages | : 288 |
| Release | : 2020-04-23 |
| Genre | : Technology & Engineering |
| ISBN | : 3030378306 |
This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The book’s GitHub page contains software codes to assist readers in adapting materials and methods for their own use. A wide variety of applications are discussed, including wireless mesh network and power systems optimization; computer vision; image and facial recognition; protein prediction; data mining; and data discovery. Numerous state-of-the-art machine learning techniques are employed (with detailed explanations), including biologically-inspired optimization (genetic and other evolutionary algorithms, swarm intelligence); Viola Jones face detection; Gaussian mixture modeling; support vector machines; deep convolutional neural networks with performance enhancement techniques (including network design, learning rate optimization, data augmentation, transfer learning); spiking neural networks and timing dependent plasticity; frequent itemset mining; binary classification; and dynamic programming. This book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and teachers in the field of machine learning.
Algorithms with JULIA
| Author | : Clemens Heitzinger |
| Publisher | : Springer Nature |
| Total Pages | : 447 |
| Release | : 2022-12-12 |
| Genre | : Mathematics |
| ISBN | : 3031165608 |
This book provides an introduction to modern topics in scientific computing and machine learning, using JULIA to illustrate the efficient implementation of algorithms. In addition to covering fundamental topics, such as optimization and solving systems of equations, it adds to the usual canon of computational science by including more advanced topics of practical importance. In particular, there is a focus on partial differential equations and systems thereof, which form the basis of many engineering applications. Several chapters also include material on machine learning (artificial neural networks and Bayesian estimation). JULIA is a relatively new programming language which has been developed with scientific and technical computing in mind. Its syntax is similar to other languages in this area, but it has been designed to embrace modern programming concepts. It is open source, and it comes with a compiler and an easy-to-use package system. Aimed at students of applied mathematics, computer science, engineering and bioinformatics, the book assumes only a basic knowledge of linear algebra and programming.
Computer Vision Systems
| Author | : James Crowley |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 558 |
| Release | : 2003-03-24 |
| Genre | : Computers |
| ISBN | : 3540009213 |
This book constitutes the refereed proceedings of the Third International Conference on Computer Vision Systems, ICVS 2003, held in Graz, Austria, in April 2003. The 51 revised full papers presented were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on cognitive vision, philosophical issues in cognitive vision, cognitive vision and applications, computer vision architectures, performance evaluation, implementation methods, architecture and classical computer vision, and video annotation.
Cornell University Courses of Study
| Author | : Cornell University |
| Publisher | : |
| Total Pages | : 600 |
| Release | : 1998 |
| Genre | : Universities and colleges |
| ISBN | : |
Doing Data Science in R
| Author | : Mark Andrews |
| Publisher | : SAGE |
| Total Pages | : 576 |
| Release | : 2021-03-31 |
| Genre | : Social Science |
| ISBN | : 1529752698 |
This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually. This book: Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical methods needed to provide the right type and level of analysis their data requires Explores the foundations of data science and breaks down the processes involved, focusing on the link between data science and practical social science skills Introduces R at the outset and includes extensive worked examples and R code every step of the way, ensuring students see the value of R and its connection to methods while providing hands-on practice in the software Provides examples and datasets from different disciplines and locations demonstrate the widespread relevance, possible applications, and impact of data science across the social sciences.
Types and Programming Languages
| Author | : Benjamin C. Pierce |
| Publisher | : MIT Press |
| Total Pages | : 656 |
| Release | : 2002-01-04 |
| Genre | : Computers |
| ISBN | : 9780262162098 |
A comprehensive introduction to type systems and programming languages. A type system is a syntactic method for automatically checking the absence of certain erroneous behaviors by classifying program phrases according to the kinds of values they compute. The study of type systems—and of programming languages from a type-theoretic perspective—has important applications in software engineering, language design, high-performance compilers, and security. This text provides a comprehensive introduction both to type systems in computer science and to the basic theory of programming languages. The approach is pragmatic and operational; each new concept is motivated by programming examples and the more theoretical sections are driven by the needs of implementations. Each chapter is accompanied by numerous exercises and solutions, as well as a running implementation, available via the Web. Dependencies between chapters are explicitly identified, allowing readers to choose a variety of paths through the material. The core topics include the untyped lambda-calculus, simple type systems, type reconstruction, universal and existential polymorphism, subtyping, bounded quantification, recursive types, kinds, and type operators. Extended case studies develop a variety of approaches to modeling the features of object-oriented languages.
Python For Data Analysis
| Author | : Dr.Vidya Santosh Dhamdhere |
| Publisher | : RK Publication |
| Total Pages | : 314 |
| Release | : 2024-07-25 |
| Genre | : Computers |
| ISBN | : 8197781109 |
Python for Data Analysis the essential tools and techniques for data manipulation, cleaning, and analysis in Python. It emphasizes the use of libraries like pandas, NumPy, and Matplotlib to efficiently handle and visualize data. Ideal for analysts and aspiring data scientists, the book provides practical insights, examples, and workflows for handling real-world datasets. Whether for beginners or experienced professionals, it delivers a solid foundation in Python's data analysis ecosystem.
