Product description: Machine Learning in Python for Everyone
This publication is intended for anyone who knows at least a little Python and wants to learn Machine Learning (ML). Mathematical issues are presented in a minimal way, while more attention is paid to the concepts and practical principles of implementing their assumptions. Thus, in Machine Learning in Python for Everyone you will find components of learning systems, classification and regression techniques, or feature engineering to transform data into useful form.
Who is this book for?
- For Python enthusiasts
- For those who already have experience with the Python programming language
- For those who want to improve their programming skills
- For those interested in new technologies
- For complete novices in the field of machine learning
The development of artificial intelligence
Artificial intelligence and machine learning are developing with extraordinary dynamism. They are finding more and more diverse applications in all industries. In fact, a new era has already begun. It is hard to resist the impression that this almost technological singularity will soon become a complementary part of everyone's life. The spectacular progress of AI is connected with the achievements in the broadly defined computer hardware and software industry. The languages used to create its systems include R, C, C++, Fortran and Go, but the most popular choice invariably remains Python.
AI for everyone
Knowledge of specialized libraries and tools enables the creation of learning systems (machine learning, deep learning) even for people who do not have extensive knowledge of automation. Seemingly complex topics such as graph models, neural networks, and deep networks combined with advanced methods are presented here in a descriptive and accessible manner. Thoughtful and short subsections of the publication Machine Learning... present always what the title promises.
About the author
Author M. E. Fenner teaches computer science and mathematics to adults. He is interested in science and life sciences in the broadest sense - he has conducted research on machine learning, bioinformatics, and computer systems security. He has also worked on security analysis of software repositories, amino acid modeling, and microscopy data analysis.
- Author: Mark E. Fenner
- Original title: Machine Learning with Python for Everyone
- Publisher: Helion SA
- Year of publication: 2020
- Number of pages: 544
- ISBN: 978-83-283-6425-7