Python for Scientific Computing: Probability, Statistics, and Machine Learning

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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