Publication:

Essentials of Python for Artificial Intelligence and Machine Learning

Loading...
Thumbnail Image

Abstracts views

10

Views & Download

0

Alternate title
Abstract
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.
Description
Authors
Gupta, Pramod
Bagchi, Anupam
Alternate Authors
Advisor
Place of publication
Cham
Publisher
Springer
Date
2024
Journal ISSN
Volume Title
Keywords
Machine learning , Artificial intelligence , Python , Computer program language
Please use the UNETI DRM to download/borrow digital documents

Link Entity

Person Search Results

Your search returned no results. Having trouble finding what you're looking for? Try putting quotes around it