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About Machine Learning Mathematics: Explore Deep Learning Using Data Science
<p>Machine learning is the way of the future – and breaking into this highly profitable and ever-changing industry is an excellent opportunity to advance your career or company. This tutorial contains clear, easy-to-understand explanations of the essential principles behind machine learning, ranging from mathematics and statistical concepts to the programming behind them.</p><p><br></p><p>This Guide is a very effective tool for understanding this fantastic technology, with a broad variety of thorough information covering machine learning models, neural networks, statistics, and much more.</p><p><br></p><p>Inside, you'll find</p><p>Learn the Fundamental Concepts of Machine Learning Algorithms and Their Importance in Resolving Contemporary Business Problems.</p><p>Recognize the Four Basic Types of Machine Learning Algorithms</p><p>Learn about "Statistical Learning," a Descriptive Statistics-Based Machine Learning Algorithm.</p><p>Dive into the Design and Implementation of Six of the Most Popular Supervised and Unsupervised Machine.</p><p>Learning Algorithms, including Linear Regression, Logistic Regression, and More.</p><p>Learn Everything There Is to Know About Neural Networks and Data Pipelines.</p><p>Master the Concept of "General Learning Setting," a Basic of Machine Learning Development</p><p>Overview of the Fundamentals, Importance, and Applications of Data Science, as well as Specifics on the "Team Data Science Process" Lifecycle</p><p>And Much More!....</p></br></br>
Detailed Information
| Author: | Smart, Jackson |
|---|---|
| Publication Year: | 2021 |
| Pages: | 102 |
| Language: | other |
| File Size: | 2.0193 |
| Format: | |
| Price: | FREE |
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