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Hasil Pencarian

Ditemukan 3 dokumen yang sesuai dengan query
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Camus, Albert, 1913-1960
New York: Alfred A. Knopf, 1969
848.914 03 CAM n
Buku Teks SO  Universitas Indonesia Library
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Mohamad Irfan Rustandi
"ABSTRAK

Produk “Made in China masih menjad kontroversi dalam hal kepercayaan konsumen. Persepsi masyarakat akan china diyakini mempengaruhi persepsi konsumen terhadap produk China itu sendiri. Tujuan dari skripsi ini adalah untuk melihat pengaruh perubahan China dalam bidang politik, ekonomi, dan teknologi dalam 10 tahun teraki, dan hubungannya dengan niat konsumen untuk membeli notebook “Made In China”. Ada enam hipotesis yang dapat diturunkan dari tiga kondisi yang kemudian hipotesis diuji menggunakan analisis regresi. Hasil penelitian empiris menunjukan penurunan pelanggaran terhadap hak-hak buruh, stereotip produk biaya rendah, peningkatan kualitas produk,dan peningkatan kemajuan teknologi memang memiliki dampak yang signifikan terhadap niat beli untuk notebook “Made in China”.


ABSTRACT

The “Made in China” products are still being a controversy in terms of consumer’s trust for buying the products. The China’s images as a country are believed influencing the consumer’s perception toward Chinese products. The purpose of this paper is to see the influence of China’s changes in political, economic, and technological conditions in the past 10 years to purchasing intention for notebooks “made in china”. There are six hypotheses that can be derived from those three conditions, which then the hypotheses are tested by using regression analysis. The results of the empirical research show a decrease of violation toward labor rights, the stereotype of low cost product, the improvement of product quality, and the increase of technological advancement do have significant impact on purchase intention for notebook “made in China”.

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Fakultas Ekonomi dan Bisnis Universitas Indonesia, 2014
S56589
UI - Skripsi Membership  Universitas Indonesia Library
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Unpingco, José
"This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. All the figures and numerical results are reproducible using the Python codes provided. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes, thereby connecting theoretical concepts to concrete implementations. Detailed proofs for certain important results are also provided. Modern Python modules like Pandas, Sympy, Scikit-learn, Tensorflow, and Keras are applied to simulate and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, and regularization. Many abstract mathematical ideas, such as convergence in probability theory, are developed and illustrated with numerical examples.
This updated edition now includes the Fisher Exact Test and the Mann-Whitney-Wilcoxon Test. A new section on survival analysis has been included as well as substantial development of Generalized Linear Models. The new deep learning section for image processing includes an in-depth discussion of gradient descent methods that underpin all deep learning algorithms. As with the prior edition, there are new and updated *Programming Tips* that the illustrate effective Python modules and methods for scientific programming and machine learning. There are 445 run-able code blocks with corresponding outputs that have been tested for accuracy. Over 158 graphical visualizations (almost all generated using Python) illustrate the concepts that are developed both in code and in mathematics. We also discuss and use key Python modules such as Numpy, Scikit-learn, Sympy, Scipy, Lifelines, CvxPy, Theano, Matplotlib, Pandas, Tensorflow, Statsmodels, and Keras.
This book is suitable for anyone with an undergraduate-level exposure to probability, statistics, or machine learning and with rudimentary knowledge of Python programming."
Switzerland: Springer Cham, 2019
e20510997
eBooks  Universitas Indonesia Library