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Więcej informacji o Machine Learning with Python for PC, Raspberry Pi, and Maixduino

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Opis

Most people are increasingly confronted with the applications of Artificial Intelligence (AI). Music or video ratings, navigation systems, shopping advice, etc. are based on methods that can be attributed to this field.The term Artificial Intelligence was coined in 1956 at an international conference known as the Dartmouth Summer Research Project. One basic approach was to model the functioning of the human brain and to construct advanced computer systems based on this. Soon it should be clear how the human mind works. Transferring it to a machine was considered only a small step. This notion proved to be a bit too optimistic. Nevertheless, the progress of modern AI, or rather its subspecialty called Machine Learning (ML), can no longer be denied.In this book, several different systems will be used to get to know the methods of machine learning in more detail. In addition to the PC, both the Raspberry Pi and the Maixduino will demonstrate their capabilities in the individual projects. In addition to applications such as object and facial recognition, practical systems such as bottle detectors, person counters, or a "talking eye" will also be created.The latter is capable of acoustically describing objects or faces that are detected automatically. For example, if a vehicle is in the field of view of the connected camera, the information "I see a car!" is output via electronically generated speech. Such devices are highly interesting examples of how, for example, blind or severely visually impaired people can also benefit from AI systems.

Szczegóły książki

Kategoria Książki po angielsku Technology, engineering, agriculture Electronics & communications engineering Electronics engineering

• Pełny tytuł: Machine Learning with Python for PC, Raspberry Pi, and Maixduino
• Autor: Günter Spanner
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 247
• EAN: 9783895765025
• ID: 38962744
• Wydawca: Elektor-Verlag
• Waga: 434 g
• Wymiary: 16 × 172 × 15 mm
• Data wydania: 14. April 2022

Ulubione w innej kategorii

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