bBuild strong foundation of machine learning algorithms In 7 days./bh2About This Book/h2ulliGet to know seven algorithms for your data science needs in this concise, insightful guide/liliEnsure you're confident in the basics by learning when and where to use various data science algorithms/lili...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Natingga, David (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Birmingham Packt Publishing Limited 2017
Ausgabe:	1
Schlagworte:	COMPUTERS / Programming / Algorithms COMPUTERS / Intelligence (AI) &amp Semantics
Zusammenfassung:	bBuild strong foundation of machine learning algorithms In 7 days./bh2About This Book/h2ulliGet to know seven algorithms for your data science needs in this concise, insightful guide/liliEnsure you're confident in the basics by learning when and where to use various data science algorithms/liliLearn to use machine learning algorithms in a period of just 7 days/li/ulh2Who This Book Is For/h2This book is for aspiring data science professionals who are familiar with Python and have a statistics background. It is ideal for developers who are currently implementing one or two data science algorithms and want to learn more to expand their skill set.h2What You Will Learn/h2ulliFind out how to classify using Naive Bayes, Decision Trees, and Random Forest to achieve accuracy to solve complex problems/liliIdentify a data science problem correctly and devise an appropriate prediction solution using Regression and Time-series/liliSee how to cluster data using the k-Means algorithm/liliGet to know how to implement the algorithms efficiently in the Python and R languages/li/ulh2In Detail/h2Machine learning applications are highly automated and self-modifying, and they continue to improve over time with minimal human intervention as they learn with more data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed that solve these problems perfectly. Data science helps you gain new knowledge from existing data through algorithmic and statistical analysis.This book will address the problems related to accurate and efficient data classification and prediction. Over the course of 7 days, you will be introduced to seven algorithms, along with exercises that will help you learn different aspects of machine learning. You will see how to pre-cluster your data to optimize and classify it for large datasets. You will then find out how to predict data based on the existing trends in your datasets.This book covers algorithms such as: k-Nearest Neighbors, Naive Bayes, Decision Trees, Random Forest, k-Means, Regression, and Time-series.
Beschreibung:	1 Online-Ressource (210 Seiten)
ISBN:	9781787282742