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This book is suitable for anyone with an undergraduate-level exposure to probability, statistics, or machine learning and with rudimentary knowledge of Python programming.
#Probabilitas dan statistika ebook download manual#
We also discuss and use key Python modules such as Numpy, Scikit-learn, Sympy, Scipy, Lifelines, CvxPy, Theano, Matplotlib, Pandas, Tensorflow, Statsmodels, and Keras. ILMU EKONOMI 201 Matematika Ekonomi dan Bisnis RINGKASAN Ebook Slides Solution Manual Chiang Catatan Kuliah I SOAL UJIAN 202 Matematika Ekonomi I RINGKASAN Ebook Solution Manual Chiang Catatan Kuliah II 203 Matematika Ekonomi II Download 204 Statistika Ekonomi dan Bisnis RINGKASAN Ebook 205 Statistika Lanjutan RINGKASAN Overview Statistika (Download) Probability Concept (Download.
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Over 158 graphical visualizations (almost all generated using Python) illustrate the concepts that are developed both in code and in mathematics.
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There are 445 run-able code blocks with corresponding outputs that have been tested for accuracy.
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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. The new deep learning section for image processing includes an in-depth discussion of gradient descent methods that underpin all deep learning algorithms. A new section on survival analysis has been included as well as substantial development of Generalized Linear Models. This updated edition now includes the Fisher Exact Test and the Mann-Whitney-Wilcoxon Test. Many abstract mathematical ideas, such as convergence in probability theory, are developed and illustrated with numerical examples. 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. Detailed proofs for certain important results are also 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.
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All the figures and numerical results are reproducible using the Python codes provided.
#Probabilitas dan statistika ebook download serial#
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