Makine Öğrenmesi
90% of respondents would recommend this to a friend
GEL 36
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Machine Learning is a brilliantly written gem that pushes the limits of imagination from Howey, who is considered one of the masters of modern science fiction literature.
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What Stands Out
Product Details
| Yayu0131ncu0131 | u0130thaki Yayu0131nlaru0131 |
| Yayu0131nlanma Tarihi | 11 Au011fustos 2022 |
| Basku0131 | 1. |
| Dil | Tu00fcrku00e7e |
| Basku0131 Uzunluu011fu | 376 sayfa |
| ISBN-10 | 6258327281 |
| ISBN-13 | 978-6258327281 |
| Boyutlar | 13.5 x 21 cm |
Who Should Buy?
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Students in AI
Ideal for students who are studying machine learning and need a professional paper cover for presentations.
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Researchers
Perfect for researchers submitting papers to conferences or journals, providing a sleek and scholarly first impression.
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Educators
Great for educators who want to present instructional materials or academic papers in a visually appealing format.
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Casual Users
Not suitable for individuals who require simple or informal documents without the need for professional presentation.
Product Description
Makine Öğrenmesi
Customer Questions & Answers
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Question:
What themes are explored in Machine Learning?
Answer: The book delves into themes like artificial intelligence, parallel universes, and alien invasion. -
Question:
Is prior knowledge of the WOOL series needed to enjoy this book?
Answer: No, Machine Learning includes stories that stand alone while also enriching the WOOL universe. -
Question:
Who is the author of Machine Learning?
Answer: The book is written by Hugh Howey, a celebrated author in the science fiction genre.
Hugh Howey Format: Kağıt Kapak Editorial Review
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GEL 36
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Features & Benefits
- Explore an extraordinary collection of science fiction and fantasy stories.
- Featuring works from bestselling author Hugh Howey, known for the WOOL series.
- Includes new stories set in the iconic WOOL universe.
- Accompanied by engaging epilogues providing insights into each story.
- Perfect for fans of thought-provoking and imaginative narratives.
- A must-read that evokes nostalgia akin to a lost Twilight Zone season.
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