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Data Science in Layman's Terms: Machine Learning [Hardcover] Lincoln, Nicholas
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eBay-Artikelnr.:394724850393
Artikelmerkmale
- Artikelzustand
- Brand
- Nicholas Lincoln
- Style
- ABIS_BOOK
- ISBN
- 9780578575896
Über dieses Produkt
Product Identifiers
Publisher
Lincoln, Nicholas
ISBN-10
0578575892
ISBN-13
9780578575896
eBay Product ID (ePID)
21038523291
Product Key Features
Number of Pages
552 Pages
Language
English
Publication Name
Data Science in Layman's Terms : Machine Learning
Publication Year
2019
Subject
Probability & Statistics / General, Data Processing, Statistics
Type
Textbook
Subject Area
Mathematics, Computers, Business & Economics
Format
Hardcover
Dimensions
Item Height
1.2 in
Item Weight
54.9 Oz
Item Length
11 in
Item Width
8.5 in
Additional Product Features
Intended Audience
Trade
Illustrated
Yes
Synopsis
Machine learning has been one of the fastest growing fields over the last decade. Machines that can learn are becoming a part of our everyday lives. Machines that display intelligence and the ability to learn are powered by mathematics and algorithms. These topics do not have to be difficult. This book teaches a basic understanding of everything related to machine learning, so that beginner or intermediate level data scientists can expand their skills sets, and so that curious intellectuals can gain an understanding of the field. This book provides a complete overview of machine learning. It builds on the information presented by its predecessor, Data Science in Layman's Terms: Statistics. The book strikes a balance between an easy-reading tutorial and a theory intensive textbook, by first presenting the ideas, conceptually, at a high level, and then diving into the details and mathematics. Every chapter is accompanied by practical examples with Python, and R where applicable. The material in the first half of the book is arranged linearly, where each chapter builds on the knowledge of the previous chapters. The second half of the book explores subfields of machine learning, like natural language processing, computer vision, reinforcement learning, and network science. Some of the practical applications you will learn from this book are how to: - Construct a simulated agent that plays games without any instructions, and watch it learn to play on its own. - Apply facial recognition to photos and videos in real time. - Perform market basket analysis and clustering to improve marketing effectiveness or improve a customer's shopping experience. - Identify similar music, using sound alone. - Generate realistic looking anime character faces. - Identify abstract topics in text documents, and analyze how sentiment about different topics changes over time. - Predict pairs of people who might soon connect in a social network, and explore how networks change over time. - Convert scans or images of documents to text. - Learn how to build neural networks with Keras, and how to probe them with TensorBoard to identify how they could be improved. The GitHub repository accompanying this book can be found at: https: //github.com/nlinc1905/dsilt-ml-code, Machine learning has been one of the fastest growing fields over the last decade. This book provides a complete overview of machine learning, so that beginner or intermediate level data scientists can expand their skills sets, and so that curious intellectuals can gain an understanding of the field.
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USA_Liquidation Central
99,5% positive Bewertungen•4.5 Tsd. Artikel verkauft
Angemeldet als gewerblicher Verkäufer
Verkäuferbewertungen (1'218)
- s***2 (197)- Bewertung vom Käufer.Letzter MonatBestätigter KaufExcellent product, it fits great, it was packaged well, it was what was described, great value. A++
- e***v (223)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufThe product , other then needing a magnifying glass to read the instructions , actually is a decent design . Shipping took longer than expected, USPS snail mail.
- s***g (369)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufExcelente producto