Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Python for Probability, Statistics, and Machine Learning (sách keo gáy bìa mềm)
Thể loại:
Computers - Programming
Năm:2019
In lần thứ:2
Nhà xuát bản:Springer
Ngôn ngữ:english
Trang:395
This textbook, fully updated to feature Python
version 3.7, covers the key ideas that link probability, statistics, and
machine learning illustrated using Python modules. The entire text,
including all the figures and numerical results, is reproducible using
the Python codes and their associated Jupyter/IPython notebooks, which
are provided as supplementary downloads. 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. The update features
full coverage of Web-based scientific visualization with Bokeh Jupyter
Hub; Fisher Exact, Cohen’s D and Rank-Sum Tests; Local Regression,
Spline, and Additive Methods; and Survival Analysis, Stochastic Gradient
Trees, and Neural Networks and Deep Learning. Modern Python modules
like Pandas, Sympy, and Scikit-learn 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 book is suitable
for classes in probability, statistics, or machine learning and
requires only rudimentary knowledge of Python programming.
