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Konstruktifitas Pendidikan Islam Merespon Perkembangan Zaman Information Digital Approach
Kajian dalam buku ini difokuskan pada Guru berkreasi, inovasi pendekatan pada dinamika perkembangan zaman Information Digital Approach, sebagai upaya konstruksi dan aktualisasi pendidikan Islam. Hal ini dimaksudkan agar pendidikan Islam mampu berpartisipasi dan memberikan kontribusi yang signifikan dalam merespon berbagai problem dan tantangan dunia pendidikan di era globalisasi ilmu pengetahuan,teknologi dan seni (ipteks).
Artificial Intelligence : Teori dan Penerapan AI di Berbagai Bidang
Buku "Artificial Intelligence : Teori dan Penerapan AI di Berbagai Bidang" memberikan pemahaman mendalam tentang kecerdasan buatan (AI) dan aplikasinya dalam berbagai sektor. Dimulai dengan pengantar dan sejarah AI, buku ini mengulas konsep dasar, jenis sistem AI, teknik pengolahan data, pembelajaran mesin, jaringan saraf tiruan, algoritma genetika, serta pengolahan bahasa alami dan citra. Bagian khusus membahas etika dan tanggung jawab dalam penggunaan AI, memastikan teknologi ini digunakan secara bijak. Buku ini juga mengeksplorasi penerapan AI dalam bisnis, kesehatan, pendidikan, dan instansi pemerintah. Dengan wawasan tentang masa depan AI dan tren teknologi yang berkembang, buku ini menjadi referensi penting bagi pembaca yang ingin memahami dan memanfaatkan AI untuk meningkatkan efisiensi dan inovasi dalam berbagai bidang.
BUKU AJAR MANAJEMEN PESERTA DIDIK
Buku Ajar Manajemen Peserta Didik ini sebagai buku panduan komprehensif yang mengulas pentingnya manajemen peserta didik dalam mencapai tujuan pembelajaran. Buku ini dapat digunakan oleh pendidik dalam melaksanakan kegiatan pembelajaran khususnya Program Studi Manajemen Pendidikan atau bidang Ilmu terkait lainnya. Buku ini umum dapat digunakan sebagai panduan dan referensi mengajar mata kuliah Manajemen Peserta Didik menyesuaikan Rencana Pembelajaran Semester tingkat Perguruan Tinggi masing-masing. Secara garis besar, buku ajar ini pembahasannya mulai dari Konsep dasar Manajemen Peserta Didik, Perencanaan Manajemen Peserta Didik & Problematika, Penerimaan Peserta Didik Baru & Problematika, K...
Pattern Classification
The first edition, published in 1973, has become a classicreference in the field. Now with the second edition, readers willfind information on key new topics such as neural networks andstatistical pattern recognition, the theory of machine learning,and the theory of invariances. Also included are worked examples,comparisons between different methods, extensive graphics, expandedexercises and computer project topics. An Instructor's Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment.
Citizenship Curriculum in Asia and the Pacific
Based on case studies of 11 societies in the world’s most dynamic region, this book signals a new direction of study at the intersection of citizenship education and the curriculum. Following their successful volume, Citizenship Education in Asia and the Pacific: Concepts and Issues (published as No. 14 in this series), the editors, widely regarded as leaders in the field in the Asia-Pacific region, have gone beyond broad citizenship education frameworks to examine the realities, tensions and pressures that influence the formation of the citizenship curriculum. Chapter authors from different societies have addressed two fundamental questions: (1) how is citizenship education featured in th...
Neural Network Methods for Natural Language Processing
Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
Teaching Critical Thinking in Psychology
Teaching Critical Thinking in Psychology features currentscholarship on effectively teaching critical thinking skills at alllevels of psychology. Offers novel, nontraditional approaches to teaching criticalthinking, including strategies, tactics, diversity issues, servicelearning, and the use of case studies Provides new course delivery formats by which faculty cancreate online course materials to foster critical thinking within adiverse student audience Places specific emphasis on how to both teach and assesscritical thinking in the classroom, as well as issues of widerprogram assessment Discusses ways to use critical thinking in courses ranging fromintroductory level to upper-level, including statistics andresearch methods courses, cognitive psychology, and capstoneofferings
The World of Learning 2001
First published in 2000. Routledge is an imprint of Taylor & Francis, an informa company.
Robust Motion Detection in Real-Life Scenarios
This work proposes a complete sensor-independent visual system that provides robust target motion detection. First, the way sensors obtain images, in terms of resolution distribution and pixel neighbourhood, is studied. This allows a spatial analysis of motion to be carried out. Then, a novel background maintenance approach for robust target motion detection is implemented. Two different situations are considered: a fixed camera observing a constant background where objects are moving; and a still camera observing objects in movement within a dynamic background. This distinction lies on developing a surveillance mechanism without the constraint of observing a scene free of foreground elements for several seconds when a reliable initial background model is obtained, as that situation cannot be guaranteed when a robotic system works in an unknown environment. Other problems are also addressed to successfully deal with changes in illumination, and the distinction between foreground and background elements.
