人工知能と機械学習のためのPythonの基礎
Essentials of Python for Artificial Intelligence and Machine Learning
Synthesis Lectures on Engineering, Science, and Technology
Gupta, Pramod
Bagchi, Anupam
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The authors explore the use of Python's advanced module features and apply them in probability, statistical testing, signal processing, financial forecasting, and various other applications. This includes mathematical operations with array data structures, Data Manipulation, Data Cleaning, machine learning, Data pipeline, probability density functions, interpolation, visualization, and other high-performance benefits using the core scientific packages NumPy, Pandas, SciPy, Sklearn/Scikit learn and Matplotlib.