ENGLISH

Essentials of Python for Artificial Intelligence and Machine Learning

By Pramod Gupta , Anupam Bagchi

Book information

Publisher
Springer
Year
2023
ISBN
9783031437243, 9783031437250
Language
english
Format
PDF
Filesize
18 MB (19086795 bytes)
Series
Synthesis Lectures on Engineering, Science, and Technology
Pages
524\524
Orientation
portrait
Paginated
yes
Scanned
no
Time added
2024-02-23 20:13:17

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 the industry on using Python for AI and ML. Deployment on a cloud infrastructure is described in detail (with code) to emphasize real scenarios.

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