Search And Find Objects And Patterns

Overview This diploma course covers all aspects you need to know to become a successful Data Scientist. Content - Getting Started with Data Science - Data Analytic Thinking - Business Problems and Data Science Solutions - Introduction to Predictive Modeling: From Correlation to Supervised Segmentation - Fitting a Model to Data - Overfitting and Its Avoidance - Similarity, Neighbors, and Clusters Decision Analytic Thinking I: What Is a Good Model? - Visualizing Model Performance - Evidence and Probabilities - Representing and Mining Text - Decision Analytic Thinking II: Toward Analytical Engineering - Other Data Science Tasks and Techniques - Data Science and Business Strategy - Machine Learning: Learning from Data with Your Machine. - And much more Duration 6 months Assessment The assessment will take place on the basis of one assignment at the end of the course. Tell us when you feel ready to take the exam and we’ll send you the assignment questions. Study material The study material will be provided in separate files by email / download link.

This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a general overview of the terms and approaches used broadly in data science, and provides detailed information on the underlying theories, models, and application scenarios. Divided into three main parts, it addresses what data science is; how and where it is used; and how it can be implemented using modern open source software. The book offers an essential guide to modern data science for all students, practitioners, developers and managers seeking a deeper understanding of how various aspects of data science work, and of how they can be employed to gain a competitive advantage.

Find out why thousands have turned to Ivor Horton for learning Java Ivor Horton's approach is teaching Java is so effective and popular that he is one of the leading authors of introductory programming tutorials, with over 160,000 copies of his Java books sold. In this latest edition, whether you're a beginner or an experienced programmer switching to Java, you'll learn how to build real-world Java applications using Java SE 7. The author thoroughly covers the basics as well as new features such as extensions and classes; extended coverage of the Swing Application Framework; and he does it all in his unique, highly accessible style that beginners love. Provides a thorough introduction to the latest version of the Java programming language, Java SE 7 Introduces you to a host of new features for both novices and experienced programmers Covers the basics as well as new language extensions and classes and class methods Guides you through the Swing Application Framework for creating Swing apps Uses numerous step-by-step programming examples to guide you through the development process There's no better way to get thoroughly up to speed on the latest version of Java than with Ivor Horton's latest, comprehensive guide.

Are you a researcher struggling to mine and make sense of a mountain of fashion data? Are you interested in learning about how digital methods and tools could enhance your research? Have you thought about ways to spark and engage in academic conversations on social media? Have you wondered how digital technologies are internationalizing the field of fashion and textile studies? Digital Research Methods in Fashion and Textile Studies presents the reader with a variety of digital methodologies to help build skills in searching for, analyzing, and discussing vintage design, photography, and writing on fashion, as well as historic and ethnographic dress and textile objects themselves. Each chapter focuses upon a different method, problem, or research site, including: - Maximalism and mixed-methods approaches to research - Searching large databases effectively - Pattern recognition and visual searching. - Critical reading, use, and citation of social media texts - Digital ethnography and shopping as research - Data visualization and mapping - Images in the public domain From advanced undergraduates and postgraduate students working on research projects to veteran professionals in fashion and textile history and beyond, everyone can benefit from a diverse set of fresh approaches to conducting and disseminating research. In the current age of instant gratification, with users snapping and posting images from runway shows long before the clothes will ever appear instores, the world of fashion is increasingly digital and fast-paced. Research on fashion is, too. Digital Research Methods in Fashion and Textile Studies will help you keep up in this rapidly changing world.

This book and its sister volumes, i.e., LNCS vols. 3610, 3611, and 3612, are the proceedings of the 1st International Conference on Natural Computation (ICNC 2005), jointly held with the 2nd International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2005, LNAI vols. 3613 and 3614) from 27 to 29 August 2005 in Changsha, Hunan, China.

This book is the only text of its kind to cover the area of neuropsychological testing of persons without vision or with limited vision. A thorough survey of the existing instruments for assessment of the blind is provided, with reviews of those assessments to help clinicians identify effective tools for assessment work with this population. In addition, new assessment instruments are presented, with instructions for how to administer these assessments and reproducible materials for clinician use. These instruments have been found to be psychometrically sound, with reliability and validity data, collected from over 500 adults, described. Specific case examples in chapters make the process of assessment come alive and allow procedures to be easily understandable. After reading this book, clinicians will be prepared to provide assessments for the visually impaired in the areas of:*Vocation*Academics*Personality*Intelligence, both Verbal and Non-Verbal*Neuropsychology*Executive Functioning*Spatial Ability*Memory, both Verbal and Non-Verbal*Special clinical populations, including those with low birthweight, with a new pervasive developmental disorder definedClassic tests are updated and new tests introduced to represent the cutting edge of assessment of individuals with vision issues. Readers will be equipped to administer a variety of assessments, including:*Tactual Formboard Test (Stoelting Catalog #)*Pattern of Search Test (Stoelting Catalog #)*Adapted Token Test*Auditory Cancellation Test*Michigan Mathematics Test for the Blind*Rey Auditory Verbal Learning Test*Haptic Intelligence Scale Subtests, adapting popular cognitive subtests for use as tactile-based assessmentsThis book is the comprehensive guide for neuropsychological assessment of those without vision or limited vision!

An Active Learning Approach to Teaching the Main Ideas in Computing Explorations in Computing: An Introduction to Computer Science and Python Programming teaches computer science students how to use programming skills to explore fundamental concepts and computational approaches to solving problems. Tbook gives beginning students an introduction to

This proceedings volume contains 52 technical research papers on multidatabases, distributed DB, multimedia DB, object-oriented DB, real-time DB, temporal DB, deductive DB, and intelligent user interface. Some industrial papers are also included.