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177628716
Python: Veri Analizi Görselleştirme ve Yapay Zeka
Item #:
177628716
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What Stands Out
Comprehensive Coverage
This book offers a thorough exploration of data analysis, visualization, and artificial intelligence, making it an essential resource for beginners and experienced practitioners alike.
Practical Examples
Packed with real-world examples and practical applications, readers can easily translate theory into practice, enhancing their skillset and understanding of complex concepts.
Updated Content
Published in January 2024, this book includes the latest trends and technologies in data science, ensuring readers stay current in a rapidly evolving field.
Product Details
| Yayu0131ncu0131 | Hiperlink Yayu0131nlaru0131 |
| Yayu0131nlanma Tarihi | 17 Ocak 2024 |
| Basku0131 | 1. |
| Dil | Tu00fcrku00e7e |
| Basku0131 Uzunluu011fu | 406 sayfa |
| ISBN-10 | 6256482654 |
| ISBN-13 | 978-6256482654 |
| Item Weight | 1 lbs (450 grams) |
Who Should Buy?
-
Data Analysts
Ideal for data analysts seeking to enhance their skills in data visualization and artificial intelligence applications.
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Students
Beneficial for students studying data science who require foundational knowledge in Python and visualization techniques.
-
Machine Learning Enthusiasts
Great for enthusiasts wanting to understand the integration of AI and data visualization to build insightful models.
-
Beginners
Not suited for complete beginners who lack any programming experience or prior understanding of data concepts.
Product Description
Python: Veri Analizi Görselleştirme ve Yapay Zeka
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Ayhan Bozkurt Format: Kağıt Kapak Editorial Review
Python: Veri Analizi Görselleştirme ve Yapay Zeka offers a comprehensive look into data analysis and visualization techniques using Python, published by Hiperlink Yayınları on January 17, 2024. This 406-page Turkish language book promises to enhance your understanding of artificial intelligence in data contexts, catering to both beginners and experts alike. Readers have noted its approachable style and practical examples, making complex concepts more digestible. It presents a unique opportunity for those eager to merge programming with insights derived from data, preparing them for advanced applications in the field.
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Pros
- In-depth coverage of data analysis techniques
- Practical examples enhance understanding
- Approachable writing style for beginners
- Focuses on visualizing data effectively
- Covers artificial intelligence applications
Cons
- May not cover some advanced topics in detail
Product Price History
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Features & Benefits
- Comprehensive guide covering Python from beginner to advanced levels.
- Detailed exploration of data analysis using Numpy and Pandas.
- Visualization techniques presented with Matplotlib, Seaborn, Plotly, and Bokeh.
- In-depth applications of AI using Scikit-learn, Gym, TensorFlow, Keras, and Pytorch.
- Hands-on projects that integrate real-world scenarios with learning.
- Ideal for both beginners and experienced developers alike.
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