Buku “Belajar Machine Learning” karya Rifkie Primartha adalah panduan praktis yang dirancang untuk memperkenalkan konsep dasar, teknik, dan algoritma dalam bidang Machine Learning. Buku ini ditulis dengan bahasa yang sederhana dan mudah dipahami, sehingga cocok bagi pembaca yang memiliki sedikit atau tidak sama sekali pengetahuan tentang Machine Learning. Buku ini mencakup berbagai topik pe…
Kemajuan Generative AI memberikan peluang baru untuk meningkatkan efektivitas dan efisiensi proses belajar mengajar di perguruan tinggi. Teknologi ini dapat dimanfaatkan untuk menciptakan konten pembelajaran yang inovatif, membantu personalisasi pembelajaran, dan mendukung pembelajaran inklusif. Namun disamping itu, Generative AI juga dapat memberikan dampak negatif jika tidak digunakan secara …
This book is one of the most comprehensive and influential references in the field of artificial intelligence (AI). This fourth edition updates and expands the material to reflect the latest developments in AI research and applications, including machine learning, deep learning, natural language processing, robotics, and the ethics and social impacts of AI. The book presents a structured approa…
This book explores how artificial intelligence (AI) can improve the effectiveness and efficiency of modern marketing. The author explains the fundamental concepts of AI relevant to marketers and its various applications in advertising, analytics, content, customer service, e-commerce, email marketing, sales, SEO, and social media. Using the Marketer-to-Machine Scale framework, the book shows pr…
In recent years, the application of artificial intelligence (AI) in several scientific fields, varying from big data handling to medical diagnosis, has drawn significant attention. The use of AI is already present in our daily lives, as exemplified by personalized ads, virtual assistants, autonomous driving, etc. Not surprisingly, AI methodologies have demonstrated impressive results through a…
As artificial intelligence (AI) continues to evolve, its potential role in online mental health therapy is gaining increasing interest. In this study, a quantitative 2x2 factorial experimental design is used to explore how AI transparency, the-ory of change (ToC), therapy style of advice, AI acceptance rate and type of mental health issue influence user perceptions of AI-driven mental health ch…