Essentials of Python for Artificial Intelligence and Machine Learning (Synthesis Lectures on Engineering, Science, and Technology) （2025. xix, 509 S. XIX, 509 p. 163 illus., 148 illus. in color. 240 mm）

Gupta, Pramod/Bagchi, Anupam

SPRINGER, BERLIN; SPRINGER NATURE SWITZERLAND; SPRING（2025発売）

• 製本 Paperback:紙装版/ペーパーバック版
• 商品コード 9783031437274

Full Description

This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). 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. Readers will gain a deep understanding with problem-solving experience on these powerful platforms when dealing with engineering and scientific problems related to Machine Learning and Artificial Intelligence. Several examples of real problems using these techniques are provided along with examples. The authors also focus on the best practices in theindustry on using Python for AI and ML. Deployment on a cloud infrastructure is described in detail (with code) to emphasize real scenarios.

Contents

Introduction.- Statistical Methods and Models.- Python Language Basics.- Introduction to Numpy.- Introduction to Pandas.- Data Manipulation With Pandas.- Data Visualization With Python.- Machine Learning.- Data Pipelines Using Python.- Mlops: Machine Learning Operations.