Introduction to Python for Scientific Computing: Probability, Statistics, and Machine Learning!
NTS publishes specialized books in science and engineering. This is an announcement for the book "Python for Scientific and Technical Computing: Probability, Statistics, and Machine Learning." The book can be ordered directly from our company website. [Overview] ■ Make the most of Python's scientific computing tools! (Scipy, Sympy, Pandas) ■ Advanced statistical methods (Maximum Likelihood Estimation, Bayesian Estimation, Bootstrap Method, etc.) ■ Applications related to machine learning (Decision Trees, Logistic Regression, Support Vector Machines, Dimensionality Reduction, Ensemble Learning, etc.) ■ Methods for simulating and visualizing machine learning concepts (Numpy, Scipy, Sympy, Pandas, Scikit-learn, etc.) *For more details, please refer to the PDF materials or feel free to contact us.
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basic information
Main Table of Contents ■ Chapter 1: Introduction to Python for Scientific Computing ■ Chapter 2: Probability ■ Chapter 3: Statistics ■ Chapter 4: Machine Learning *For more details, please refer to the PDF document or feel free to contact us.*
Price information
List price: 6,000 yen (excluding tax)
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For more details, please refer to the PDF document or feel free to contact us.
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NTS selects reliable information from the overwhelming amount of information through seminars, publications, and literature information activities, and conveys it to the next generation. From abundance to certainty—that is the philosophy of NTS's activities.
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