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Data Science Algorithms in a Week by David Natingga (Paperback, 2017)

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Build strong foundation of machine learning algorithms In 7 days. About This Book * Get to know seven algorithms for your data science needs in this concise, insightful guide * Ensure you're confident in the basics by learning when and where to use various data science algorithms * Learn to use machine learning algorithms in a period of just 7 days Who This Book Is For This 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. What You Will Learn * Find out how to classify using Naive Bayes, Decision Trees, and Random Forest to achieve accuracy to solve complex problems * Identify a data science problem correctly and devise an appropriate prediction solution using Regression and Time-series * See how to cluster data using the k-Means algorithm * Get to know how to implement the algorithms efficiently in the Python and R languages In Detail Machine 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. On completion of the book, you will understand which machine learning algorithm to pick for clustering, classification, or regression and which is best suited for your problem. Style and approach Machine learning applications are highly automated and self-modifying which 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.

Product Identifiers

Publisher
Packt Publishing Limited
ISBN-13
9781787284586
eBay Product ID (ePID)
9046472077

Product Key Features

Author
David Natingga
Publication Name
Data Science Algorithms in a Week
Format
Paperback
Language
English
Subject
Computer Science
Publication Year
2017
Type
Textbook
Number of Pages
210 Pages

Dimensions

Item Height
235mm
Item Width
191mm

Additional Product Features

Title_Author
David Natingga
Country/Region of Manufacture
United Kingdom

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Data Science Algorithms in a Week by David Natingga (Paperback, 2017)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Best Selling in Adult Learning & University

Maps of Meaning: The Architecture of Belief by Jordan B. Peterson (1999, Paperback)

Eduqas GCSE (9-1) Religious Studies Route B: Catholic Christianity and Judaism by Deirdre Cleary, Andrew Barron, Joy White, Patrick Harrison (Paperback, 2017)

Aradale: The Making of a Haunted Asylum by Nathaniel Buchanan, David Waldron, Sharn Waldron (Paperback, 2020)

Silent Spring by Rachel Carson (Paperback, 2000)

Understanding and Treating Chronic Shame: Healing Right Brain Relational Trauma by Patricia A. DeYoung (Paperback, 2021)

Time Management by Peter Quarry (Paperback, 1986)

Save on Adult Learning & University

The Australian Native Bee Hive Book: Keeping Stingless Sugarbag OATH Tim Heard

Netter Atlas of Human Anatomy: Classic Regional Approach

Havard's Nursing Guide to Drugs

George Hrabovsky Leonard Susskind Classical Mechanics (Paperback)

Robert A. Monroe Journeys Out of the Body (Paperback) Journeys Trilogy

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