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Machine Learning for Computer Scientists and Data Analysts: From an Applied Pers

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Características del artículo

Estado
Nuevo: Libro nuevo, sin usar y sin leer, que está en perfecto estado; incluye todas las páginas sin ...
ISBN-13
9783030967581
Type
NA
Publication Name
NA
ISBN
9783030967581

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Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3030967581
ISBN-13
9783030967581
eBay Product ID (ePID)
20061243508

Product Key Features

Book Title
Machine Learning for Computer Scientists and Data Analysts : from an Applied Perspective
Number of Pages
Xv, 458 Pages
Language
English
Topic
General, Electronics / Circuits / General, Electronics / General, Cybernetics
Publication Year
2023
Illustrator
Yes
Genre
Computers, Technology & Engineering, Science
Author
Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Zhiqian Chen
Format
Trade Paperback

Dimensions

Item Weight
25.5 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Dewey Edition
23
Number of Volumes
1 vol.
Dewey Decimal
006.31
Table Of Content
Introduction.- Metadata Extraction and Data Preprocessing.- Data Exploration.- Practice Exercises.- Supervised Learning.- Unsupervised Learning.- Reinforcement Learning.- Model Evaluation and Optimization.- ML in Computer vision - autonomous driving and object recognition.- ML in Health-care - ECG and EEG analysis.- ML in Embedded Systems - resource management.- ML for Security (Malware).- ML in Big-data Analytics.- ML in Recommender Systems.- ML for Ontology Acquisition from Text and Image Data.- Adversarial Learning.- Graph Adversarial Neural Networks.- Graph Convolutional Networks.- Hardware for Machine Learning.- Software Frameworks.
Synopsis
This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to understand the concepts of ML algorithms and enables them to develop the skills necessary to choose an apt ML algorithm for a problem they wish to solve. In addition, this book includes numerous case studies, ranging from simple time-series forecasting to object recognition and recommender systems using massive databases. Lastly, this book also provides practical implementation examples and assignments for the readers to practice and improve their programming capabilities for the ML applications.
LC Classification Number
TK7867-7867.5

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    Book arrived today, 2 days before deadline given by the seller. Well-packaged & in good condition. Price was very competitive, & the book was accurately listed. Great communication. I appreciate the seller getting back to me when I was having trouble tracking the book's delivery progress. Apparently there were 2 different tracking numbers - one in Canada & the other in the U.S., since it was initially shipped from Canada. Thank you very much for your quick response & helpful information.
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    Seller handles a massive inventory so I give them grace on the slow processing and shipping. They were very communicative and prompt with their response when I messaged in asking about it. Book was in good condition as described. Small ding on the page edges which wasn't mentioned, but that's fairly common even at your typical book store. Still a good value and I'd buy from them again.
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    The first item arrived with some damage to the inside back cover, but the seller responded immediately, assuring me they’d provide a replacement, and even told me I could keep the original. They were upfront about a short delay, and gave a clear estimated ship date, and followed up right on time once it shipped. The replacement arrived in perfect condition and exactly as described. I really appreciated their transparency and professionalism. Would definitely buy from them again!