Machine Learning for Beginners: A Math Guide to Mastering Deep Learning and Business Application. Understand How Artificial Intelligence, Data Science, and Neural Networks Work Through Real Examples by Hack Samuel
Author:Hack, Samuel [Hack, Samuel]
Language: eng
Format: epub
Published: 2020-03-29T16:00:00+00:00
The equation of a polynomial will look like the linear equation, with the difference being that there will be some polynomial expression attached to one or more of our X values. For example:
Y = mX2+b
The effect that X has on Y changes exponentially as the value for X changes.
Support Vector Regression . This is another important tool for data scientists and one that you should familiarize yourself with. It is most commonly used in case classification. The idea here is to find a line through a space that separates data points into different classes. Support Vector Regression is another type of supervised learning. Its also used for regression analysis. It is a type of binary classification technique not related to probability.
Download
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
AI & Machine Learning | Bioinformatics |
Computer Simulation | Cybernetics |
Human-Computer Interaction | Information Theory |
Robotics | Systems Analysis & Design |
Algorithms of the Intelligent Web by Haralambos Marmanis;Dmitry Babenko(8264)
Test-Driven Development with Java by Alan Mellor(6409)
Data Augmentation with Python by Duc Haba(6310)
Principles of Data Fabric by Sonia Mezzetta(6087)
Learn Blender Simulations the Right Way by Stephen Pearson(5949)
Hadoop in Practice by Alex Holmes(5946)
Microservices with Spring Boot 3 and Spring Cloud by Magnus Larsson(5833)
Jquery UI in Action : Master the concepts Of Jquery UI: A Step By Step Approach by ANMOL GOYAL(5791)
RPA Solution Architect's Handbook by Sachin Sahgal(5226)
Big Data Analysis with Python by Ivan Marin(5192)
Life 3.0: Being Human in the Age of Artificial Intelligence by Tegmark Max(5111)
The Infinite Retina by Robert Scoble Irena Cronin(4916)
Pretrain Vision and Large Language Models in Python by Emily Webber(4168)
Functional Programming in JavaScript by Mantyla Dan(4025)
Infrastructure as Code for Beginners by Russ McKendrick(3925)
The Age of Surveillance Capitalism by Shoshana Zuboff(3920)
WordPress Plugin Development Cookbook by Yannick Lefebvre(3628)
Embracing Microservices Design by Ovais Mehboob Ahmed Khan Nabil Siddiqui and Timothy Oleson(3441)
Applied Machine Learning for Healthcare and Life Sciences Using AWS by Ujjwal Ratan(3417)
