Hands-on artificial intelligence for IoT: (Record no. 9926)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01960nam a22002177a 4500 |
| 005 - ΗΜΕΡΟΜΗΝΙΑ ΚΑΙ ΩΡΑ ΤΕΛΕΥΤΑΙΑΣ ΕΝΗΜΕΡΩΣΗΣ | |
| Πεδίο ελέγχου | 20250904134057.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| Πεδίο ελέγχου σταθερού μήκους | s2019 ||||f| |||| 0|eng | |
| 020 ## - ISBN | |
| ISBN | 9783030041106 |
| 040 ## - ΠΗΓΗ ΚΑΤΑΛΟΓΟΓΡΑΦΗΣΗΣ | |
| Φορέας πρωτότυπης καταλογογράφησης | MC Athens Campus Library |
| Γλώσσα καταλογογράφησης | Αγγλικά |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Kapoor, Amita |
| Σχέση | Συγγραφέας |
| 9 (RLIN) | 10094 |
| 245 00 - ΤΙΤΛΟΣ ΚΑΙ ΔΗΛΩΣΗ ΥΠΕΥΘΥΝΟΤΗΤΑΣ | |
| Τίτλος | Hands-on artificial intelligence for IoT: |
| Remainder of title | expert machine learning and deep learning techniques for developing smarter IoT systems |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Birmingham : |
| Name of producer, publisher, distributor, manufacturer | Packt, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2019. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 376 p.: |
| Other physical details | ill.; |
| Διαστάσεις | 24 cm. |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| Τύπος αρχείου | text file |
| Encoding format | |
| Πηγή | rda |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computing |
| 9 (RLIN) | 9851 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence |
| 9 (RLIN) | 9888 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Τύπος τεκμηρίου | Βιβλιοθήκη | Τρέχουσα τοποθεσία | Barcode | Αριθμός εισαγωγής | Ημερομηνία απόκτησης | Ταξιθετικό σύμβολο | Αριθμός αντιτύπου | Κατάσταση απόσυρσης | Κατάσταση χαμένου | Κατάσταση κατεστραμμένου | Μη δανεισμός | Σύνολο δανεισμών | Ημερομηνία τελευταίας εμφάνισης | Η τιμή ισχύει από |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Books | MC Athens Campus Library | MC Athens Campus Library | 9780000098979 | 8052 | 04/09/2025 | 006.3 KAP | 1 | 04/09/2025 | 04/09/2025 |