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Bimbingan Dan Konseling Klasikal Dan Kelompok

Buku “Bimbingan dan Konseling Klasikal dan Kelompok” ini menyajikan panduan komprehensif dalam memahami, merencanakan, merancang, mengimplementasikan, mengevaluasi, dan melaporkan strategi layanan bimbingan klasikal, bimbingan kelompok, dan konseling kelompok di sekolah. Berbasis pendekatan ilmiah dan praktik berbukti, buku ini menguraikan konsep, strategi, serta keterampilan praktis yang diperlukan untuk mendukung perkembangan pribadi, sosial-emosional, akademik, dan karier siswa. Ditulis dengan bahasa yang mudah dipahami, buku ini menjadi referensi penting bagi guru BK, konselor sekolah, mahasiswa, dan praktisi pendidikan yang ingin mengoptimalkan layanan bimbingan dan konseling di lingkungan pendidikan.

Buku “Bimbingan dan Konseling Klasikal dan Kelompok” ini menyajikan panduan komprehensif dalam memahami, merencanakan, merancang, mengimplementasikan, mengevaluasi, dan melaporkan strategi layanan bimbingan klasikal, bimbingan kelompok, ...

Bimbingan Dan konseling Populasi Khusus di Institusi Pendidikan

mudah membuat game augmented realiti(ar) dan virtual reality(vr) dengan unity 3D

pengembangan Aplikasi WEB Menggunakan CODEIGNITER

Konsep dan Implementasi

  • ISBN 13 : 9786024016081
  • Judul : pengembangan Aplikasi WEB Menggunakan CODEIGNITER
  • Sub Judul : Konsep dan Implementasi
  • Pengarang : Moch Kautsar Sophan,  
  • Penerbit : Deepublish
  • Klasifikasi : 005.3
  • Call Number : 005.3 MOC p
  • Bahasa : Indonesia
  • Tahun : 2016
  • Halaman : 197
  • Ketersediaan :
    2020-38314-0005
    Tersedia di Pustaka Kubang Putih - UIN Sjech M. Djamil Djambek Bukittinggi
    2020-38314-0004
    Tersedia di Pustaka Kubang Putih - UIN Sjech M. Djamil Djambek Bukittinggi
    2020-38314-0003
    Tersedia di Pustaka Kubang Putih - UIN Sjech M. Djamil Djambek Bukittinggi
    2020-38314-0002
    Tersedia di Pustaka Kubang Putih - UIN Sjech M. Djamil Djambek Bukittinggi
    2020-38314-0001
    Tersedia di Pustaka Kubang Putih - UIN Sjech M. Djamil Djambek Bukittinggi

Probabilistic Approaches to Recommendations

The importance of accurate recommender systems has been widely recognized by academia and industry, and recommendation is rapidly becoming one of the most successful applications of data mining and machine learning. Understanding and predicting the choices and preferences of users is a challenging task: real-world scenarios involve users behaving in complex situations, where prior beliefs, specific tendencies, and reciprocal influences jointly contribute to determining the preferences of users toward huge amounts of information, services, and products. Probabilistic modeling represents a robust formal mathematical framework to model these assumptions and study their effects in the recommendation process. This book starts with a brief summary of the recommendation problem and its challenges and a review of some widely used techniques Next, we introduce and discuss probabilistic approaches for modeling preference data. We focus our attention on methods based on latent factors, such as mixture models, probabilistic matrix factorization, and topic models, for explicit and implicit preference data. These methods represent a significant advance in the research and technology of recommendation. The resulting models allow us to identify complex patterns in preference data, which can be exploited to predict future purchases effectively. The extreme sparsity of preference data poses serious challenges to the modeling of user preferences, especially in the cases where few observations are available. Bayesian inference techniques elegantly address the need for regularization, and their integration with latent factor modeling helps to boost the performances of the basic techniques. We summarize the strengths and weakness of several approaches by considering two different but related evaluation perspectives, namely, rating prediction and recommendation accuracy. Furthermore, we describe how probabilistic methods based on latent factors enable the exploitation of preference patterns in novel applications beyond rating prediction or recommendation accuracy. We finally discuss the application of probabilistic techniques in two additional scenarios, characterized by the availability of side information besides preference data. In summary, the book categorizes the myriad probabilistic approaches to recommendations and provides guidelines for their adoption in real-world situations.

Pemikiran pembangunan Bung Hatta

Economic and political ideas of Mohammad Hatta, 1902-1980, the first vice president of Indonesia, and its impact on contemporary conditions of economics and politics of Indonesia; collection of articles.

Lembaga Penelitian, Pendidikan dan Penerangan Ekonomi dan Sosial (
Indonesia), Universitas Bung Hatta ... model Islam ini makin jelas kelihatan
sekarang dengan upaya-upaya sistematik oleh gerakan ekonomi Islam yang
dipelopori oleh ...