Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.

    Big dreams are achievable through steady progress over time.The motivation you need to stick with it for the long haul.The tools necessary for passionate longevity. You can faithfully lead, serve and love others over a lifetime without sacrificing your passion.So many believers want their lives to count, but they are impatient with the slow pace at which goodness grows. Many of us struggle to embrace the faithfulness required to show up day after day after day. In Dream Big, Think Small Manion helps to reveal the joy in the small, seemingly inconsequential actions you take every day. Ultimately, you will learn how small persistent steps lead to tremendous and lasting results. Filled with Manion's trademark inspiring stories and insightful biblical teaching, Dream Big, Think Small challenges you to explore the spiritual prescription of steady faithfulness. Following the principles of perseverance, intentionality, and discipline outlined in this book, you will see lasting and astonishing results in your spiritual health, within your marriage and family, in the quality of your work, and in a more authentic ability to honor God with your life.

    If we don't candidly answer the pertinent questions, we will only paint a false picture.We are standing at a crucial and pivotal point in history. It's time for diversity in AI. This unprecedented technology will affect society as a whole and we need individuals from diverse disciplines and backgrounds to join the discussion. The issues surrounding AI can't be left to a small group of scientists, technologists or business executives to address. Our future and our children's future are at stake.More than ever, we need leaders who will stand on integrity and who will put people first.Do you want to take a glimpse into the future of leadership? The Future of Leadership: Rise of Automation, Robotics and Artificial Intelligence offers the most comprehensive view of what is taking place in the world of AI and emerging technologies, and gives valuable insights that will allow you to successfully navigate the tsunami of technology that is coming our way.

    This work focuses on the maths skills necessary to pass the GMAT, with nearly 300 questions and explanations on subjects such as arithmetic, algebra, geometry and data sufficiency.

    It concentrates on the models of behaviour of the basic economic units, consumers and producers. The main emphasis is on oligopoly, which is the typical market structure of the modern industrial world. In addition, this Second Edition includes a third part covering the three important topics of the theory of factor pricing, general equilibrium theory and welfare theory. The new edition thus covers all the topics usually included in textbooks on price theory.The book is written at an intermediate level, and is designed for undergraduate micro-theory courses. In addition, postgraduate courses, in which micro theory is taught not at too specialized a level, could make use of the text. The author has adopted the verbal approach, with extensive use of diagrams to illustrate the verbal exposition. Mathematical proofs (where necessary) are presented in footnotes, or, when in the text, they are printed in small print so as not to interrupt the main theme.A wealth of features make this textbook unique in both coverage and approach.

    Liam Taylor's death, on 21 February 1991, was to become the first in a string of infanticides carried out by the soon-to-be-notorious 'Angel of Death'. Between February and April 1991, four babies were murdered and another nine attacked. Recounting the emotional turmoil of those parents, the 3-month police investigation, Allitt's motive and accounts from her early life, John Askill and Martyn Sharpe tell a sensitive, at times harrowing, tale of how this 'plain', rather 'ordinary' girl from the small village of Corby Glen became one of Britain's most notorious serial killers.

    Packed with practical, evidence-based advice, it is the indispensable guide to raising a girl who is happy and confident in herself.Free of parental guilt and grounded in research, Raising Girls Who Like Themselves is imbued with the warmth and wit of a mum and dad who are in the same parenting trenches as you, fighting for their daughters’ futures.

    

    It tells the story of two parents from different cultural, linguistic, and ethnic-racial backgrounds who joined to raise their two children with their heritage languages outside their native countries. It also tells the children's story and the way they negotiated three cultures and languages and developed a trilingual identity. It sheds light on how parental support contributed to the children's simultaneous acquisition of three languages in an environment where the main input of the two heritage languages came respectively from the father and from the mother. It addresses the challenges and the unique language developmental characteristics of the two children during their trilingual acquisition process.

    However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art?Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniquesTopics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory Suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book Supplies supplementary course material for students at the associated website, http: //szeliski.org/Book/ Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

    This work serves as an introduction to basic composition skills through systematic integration of paragraph organization, rhetoric, grammar, sentence structure and the writing process.

    An illustration program supports the concepts and theories discussed.

    Winner of a Woman of the Year award from the New York City Chamber of Commerce and the National Organization for Mentally Ill Children, she eloquently recounts a lifetime of taking on seemingly hopeless cases and bringing these children, through painstaking therapy and love, back into the world. Unflinchingly honest, whether dealing with the raw pain of her patients' lives or with Rothenberg's own complex feelings for them, Children with Emerald Eyes explores the landscape of mental illness while never losing sight of the humanity within each patient.

    It is well balanced between theory and practice and covers topics from binary numbers and logic gates to K-maps, variable mapping, counter design etc. Each chapter includes several worked out examples to give studentsa thorough grouding in related design concepts

    The Third Edition of this indispensable guide builds on the success of the previous editions, offering fully updated and expanded advice in an even more accessible format. Good Essay Writing provides answers to the key questions which face students when preparing essays: What do tutors look for when marking essays? What kind of skills will be needed at different course levels? How can inadvertent plagiarism be avoided? What are the protocols for referencing? Good Essay Writing shows students how to approach different types of essay questions, provides detailed guidelines on the various ways of supporting and sustaining key arguments, addresses common worries, and provides extensive use of worked examples including complete essays which are fully analysed and discussed. All of the key points are encapsulated in easy to digest summaries.