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Buku ini membahas tentang Kecerdasan buatan (Artificial Intelligence) adalah bidang dalam ilmu komputer yang bertujuan menciptakan sistem atau mesin yang mampu melakukan tugas-tugas yang biasanya memerlukan kecerdasan manusia. AI dapat mencakup berbagai aplikasi, seperti pengolahan bahasa alami, pengenalan wajah, analisis data besar, dan robotika. Teknologi AI mengandalkan algoritma dan model pembelajaran mesin (machine learning) yang memungkinkan sistem untuk belajar dan beradaptasi dari pengalaman atau data yang diberikan. AI semakin berkembang, mengubah cara kita bekerja, berkomunikasi, dan bahkan berpikir. Dalam bidang kesehatan, misalnya, AI dapat digunakan untuk diagnosa penyakit, sementara dalam transportasi, AI memungkinkan kendaraan otonom. Namun, seiring kemajuannya, AI juga memunculkan tantangan etika dan sosial.
Buku ini membahas tentang konsep dasar basis data yang melibatkan pengorganisasian dan penyimpanan informasi dalam struktur yang terstruktur agar mudah diakses, dikelola, dan diperbarui. Basis data biasanya menggunakan sistem manajemen basis data (DBMS) untuk mengelola data secara efisien. Data dalam basis data disusun dalam tabel, yang terdiri dari baris (record) dan kolom (field). Setiap tabel memiliki kunci utama yang unik untuk mengidentifikasi setiap entri. Relasi antar tabel dapat dibentuk melalui kunci asing. Model basis data yang umum digunakan adalah model relasional, yang menyimpan data dalam tabel yang saling terkait. Penggunaan basis data memungkinkan penyimpanan yang terorganisir, mempermudah pencarian informasi, serta mengurangi redundansi dan inkonsistensi data.
This book constitutes the proceedings of the 13th Mexican Conference on Pattern Recognition, MCPR 2021, which was planned to be held in Mexico City, Mexico, in June 2021. The conference was instead held virtually. The 35 papers presented in this volume were carefully reviewed and selected from 75 submissions. They are organized in the following topical sections: artificial intelligence techniques and recognition; pattern recognition techniques; neural networks and deep learning; computer vision; image processing and analysis; and medical applications of pattern recognition.
This book touches on an area seldom explored: the mathematical underpinnings of the relational database. The topic is important, but far too often ignored. This is the first book to explain the underlying math in a way that’s accessible to database professionals. Just as importantly, if not more so, this book goes beyond the abstract by showing readers how to apply that math in ways that will make them more productive in their jobs. What’s in this book will "open the eyes" of most readers to the great power, elegance, and simplicity inherent in relational database technology.
After the glitter settles... Tina Sharma and Dev Arjun''s whirlwind romance made them Bollywood royalty, but beneath the glitz and glamour there''s trouble--Tina is about to demand a divorce! But Dev won''t give in without a fight, so he proposes a deal: play the dutiful wife for two months, then he''ll let her go. Tina is furious! He clearly regrets their shotgun wedding, so why stay together a day longer? But it isn''t the days she should be worried about.... As Dev turns up the heat, Tina may just find herself wishing for a lifetime of pleasure with her devilishly delicious husband!
Motivational Teaching provides a clear overview of the many factors that affect learner motivation and connects each of them to innovative teaching ideas and strategies. • Features over 100 tried and tested teaching ideas, underpinned by the latest research into learner motivation. • Explores how motivation to learn works both on an individual level and within the classroom environment. • Provides insights to enhance motivation through key teaching processes, from choosing materials and designing tasks to closing lessons and giving feedback. • Investigates how teachers can raise learner motivation across a range of ages, abilities, and backgrounds.
This volume explores corporate governance from three perspectives: a traditional economic, a philosophical, and an integrated business ethics perspective. Corporate governance has enjoyed a long tradition in the English-speaking world of management sciences. Following its traditional understanding it is defined as leadership and control of a firm with the aim of securing the long-term survival and viability of that firm. But recent business scandals and financial crises continue to provide ample cause for concern and have all fuelled interest in the ethical aspects. As a result, corporate governance has been criticized by many social groups. Economic sciences have failed to provide a clear definition of the corporate governance concept. Complexity increases if we embed the economic approach of corporate governance in a philosophical context. This book seeks to define the concept by examining its economic, philosophical and business ethics foundations.
We are delighted to introduce the proceedings of the 3rd English Language & Literature International Conference (ELLiC 3). This conference has brought researchers, developers and practitioners around the world who are leveraging and developing the English language education, literature, linguistics, and translation. We strongly believe that this conference provides a good forum for all researchers, developers and practitioners to discuss all scientific aspects that are relevant to Digital Society especially in the above fields. We also expect that the future conference will be as successful and stimulating, as indicated by the contributions presented in this volume