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| Resource | Type | Best For | | :--- | :--- | :--- | | | Video Series (YouTube) | Visual learners | | Russell & Norvig (Çeviri) | Translated PDF | Theoretical depth | | İhsan Ömür Bucak - YSA Notes | Free PDF (Akademik) | Neural Networks only | yapay zeka vasif nabiyev pdf
Nabiyev’in eseri, yapay zekayı sadece teorik bir kavram olarak değil, doğadan esinlenen çözüm yöntemleri ve somut algoritmalar bütünü olarak ele alır. Kitabın öne çıkan bazı ana başlıkları şunlardır: | | Deep Learning architectures | Convolutional Neural
| Theme | Typical contents | |-------|------------------| | | Overview of supervised/unsuper‑supervised methods, model training, evaluation metrics. | | Deep Learning architectures | Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers, and their Turkish‑language applications. | | Natural Language Processing (NLP) for Turkish | Tokenization, word‑embeddings, sentiment analysis, text generation. | | Computer Vision in Turkish contexts | Image classification, object detection, facial‑recognition datasets from Turkey. | | Ethical & Legal aspects | Data privacy under KVKK (Turkish Personal Data Protection Law), bias mitigation, AI governance. | | Case studies / Applications | Smart‑city projects, health‑care diagnostics, agricultural monitoring, e‑commerce recommendation systems. | | | Ethical & Legal aspects | Data
If you have legally obtained a PDF of Vasif Nabiyev’s Yapay Zeka, avoid passive reading. Here is a study methodology:
However, the future learner should use Nabiyev as of their education. After mastering the PDF, you must move to modern English resources for Deep Learning and Generative AI. But for the fundamentals— Temel yapay zeka kavramları —Vasif Nabiyev is irreplaceable.
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