Machine Learning and Its Application: A Quick Guide for Beginners

[LeeAndro]

English | 2022 | ISBN: ‎ 1681089424 | 360 pages | True PDF | 22.01 MB

Machine Learning and Its Application: A Quick Guide for Bners aims to cover most of the core topics required for study in machine learning curricula included in university and college courses.​

The textbook introduces readers to central concepts in machine learning and artificial intelligence, which include the types of machine learning algorithms and the statistical knowledge required for devising relevant computer algorithms. The book also covers advanced topics such as deep learning and feature eeering.

Key features:
- 8 organized chapters on core concepts of machine learning for learners
- Accessible text for bners unfamiliar with complex mathematical concepts
- Introductory topics are included, including supervised learning , unsupervised learning , reinforcement learning and predictive statistics
- Advanced topics such as deep learning and feature eeering provide additional information
- Introduces readers to python programming with examples of code for understanding and practice
- Includes a summary of the text and a dedicated section for references

Machine Learning and Its Application: A Quick Guide for Bners is an essential book for students and learners who want to understand the basics of machine learning and equip themselves with the knowledge to write algorithms for intelligent data processing applications.



DOWNLOAD

https://1dl.net/7kwytk3v8xzr/QejVuPbG_Machine_Learning_and_Its_Application_A_Quick_Guide_for_Beginners.rar.html