English | 2021 | ASIN: B09P7Q5HYP | 102 Pages | AZW PDF EPUB | 5 MB
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.
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.
Inside, you’ll find
Learn the Fundamental Concepts of Machine Learning Algorithms and Their Importance in Resolving Contemporary Business Problems.
Recognize the Four Basic Types of Machine Learning Algorithms
Learn about “Statistical Learning,” a Descriptive Statistics-Based Machine Learning Algorithm.
Dive into the Design and Implementation of Six of the Most Popular Supervised and Unsupervised Machine.
Learning Algorithms, including Linear Regression, Logistic Regression, and More.
Learn Everything There Is to Know About Neural Networks and Data Pipelines.
Master the Concept of “General Learning Setting,” a Basic of Machine Learning Development
Overview of the Fundamentals, Importance, and Applications of Data Science, as well as Specifics on the “Team Data Science Process” Lifecycle
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