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Machine Learning for Computer Scientists and Data Analysts: From an Applied Pers
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eBay item number:388645757773
Item specifics
- Condition
- ISBN-13
- 9783030967581
- Type
- NA
- Publication Name
- NA
- ISBN
- 9783030967581
- Book Title
- Machine Learning for Computer Scientists and Data Analysts : from an Applied Perspective
- Publisher
- Springer International Publishing A&G
- Item Length
- 9.3 in
- Publication Year
- 2023
- Format
- Trade Paperback
- Language
- English
- Illustrator
- Yes
- Genre
- Computers, Technology & Engineering, Science
- Topic
- General, Electronics / Circuits / General, Electronics / General, Cybernetics
- Item Weight
- 25.5 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xv, 458 Pages
About this product
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
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
Item description from the seller
Seller feedback (1,055,747)
- c***a (121)- Feedback left by buyer.Past monthVerified purchaseThe seller was very responsive and answered me on a timely matter. The product itself came in its packaging and was new, not used at all. The packaging was not beat up or anything, safely delivered to my mailbox. No mix ups and zero stress with delivery. The price for the product is completely understandable for the product. I really appreciate the seller and I am very happy to have purchased through this seller. Completely trustable!
- w***i (875)- Feedback left by buyer.Past monthVerified purchaseAbsolutely Wonderful Seller!! Terrific Item As Described!!! Great Service and Communication!! Shipped In Waterproof Packaging!! I Received Item In About One Week!! Very Pleased With Seller! I Will Buy From This Seller Again!!
- e***_ (17)- Feedback left by buyer.Past 6 monthsVerified purchaseSeller 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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