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베스트셀러: 최근 일주일간 가장 많이 판매된 도서입니다.

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1.  
 
Machine Learning with PyTorch and Scikit-Learn : Develop machine learning and deep learning models with Python (Paperback)
Sebastian Raschka | Packt Publishing
59,000원(0% 할인 / 1,770원)
2.  
 
GraphRag Mastering Guide: A Pathway to Connecting Knowledge and Artificial Intelligence for Tech Developers (Paperback)
William Deckman | Independently Published
27,280원(18% 할인 / 1,370원)
3.  
 
Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs (Paperback)
Ben Auffarth | Packt Publishing
36,000원(0% 할인 / 1,080원)
4.  
 
LLM Engineer's Handbook : Master the art of engineering large language models from concept to production (Paperback)
Paul Iusztin | Packt Publishing
49,000원(0% 할인 / 1,470원)

5.  
 
Industrial Internet of Things: An Introduction (Paperback)
Silky Goel | Bentham Science Publishers
89,500원(18% 할인 / 4,480원)
6.  
 
Introduction to LLMs for Executives: Revolutionize Your Business with LLMs for Success (Paperback)
Prema B | Independently Published
30,340원(18% 할인 / 1,520원)
7.  
 
Understanding the Artificial Intelligence Revolution (Hardcover, 1)
Shalom Lappin | CRC Press
223,860원(18% 할인 / 11,200원)
8.  
 
Understanding the Artificial Intelligence Revolution (Paperback, 1)
Shalom Lappin | CRC Press
42,880원(18% 할인 / 2,150원)

9.  
 
Neural Networks and Deep Learning with Python a Practical Approach (Paperback)
Emmimal P. Alexander | Independently Published
91,020원(18% 할인 / 4,560원)
10.  
 
Applied Deep Learning on Graphs: Leverage graph data for business applications using specialized deep learning architectures (Paperback)
Lakshya Khandelwal | Packt Publishing
75,830원(18% 할인 / 3,800원)
11.  
 
Mastering Knowledge Graphs for LLMs: Building Smarter RAG Pipelines (Paperback)
Mathias Sandgreen | Independently Published
25,770원(18% 할인 / 1,290원)
12.  
 
Practical C++ Machine Learning: Hands-on strategies for developing simple machine learning models using C++ data structures and libraries (Paperback)
Anais Sutherland | GitforGits
106,170원(18% 할인 / 5,310원)

13.  
 
A Generative Journey to AI: Mastering the foundations and frontiers of generative deep learning (English Edition) (Paperback)
Toni Ramchandani | BPB Publications
66,510원(10% 할인 / 2,000원)
14.  
 
Building LLMs with LangChain: Master prompt engineering, chaining, and agent development for advanced LLM applications (Paperback)
Martin Dunagan | Independently Published
25,780원(18% 할인 / 1,290원)
15.  
 
AI 2041: Visions of the Future: Exploring the Impact of Artificial Intelligence on Society, Technology, and Humanity (Paperback)
Himanshoo Jaiswal | Independently Published
15,330원(18% 할인 / 770원)
16.  
 
Artificial Intelligence Basic Concepts: Includes AI Glossary (Paperback)
Luis Ayala | Independently Published
30,320원(18% 할인 / 1,520원)

17.  
 
C# And Net 6: Modern Cross-Platform Development (Paperback)
Oliver Lucas | Independently Published
24,090원(18% 할인 / 1,210원)
18.  
 
LangChain LLM: A Hands-On Guide to Building and Deploying Large Language Model Applications (Paperback)
Morgan Devline | Independently Published
47,310원(18% 할인 / 2,370원)
19.  
 
Intelligent Systems for Human Health and Well-Being (Paperback)
Antonio Di Tecco | Ditecco.It
108,150원(18% 할인 / 5,410원)
20.  
 
Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems (Paperback, 1)
Deepshikha Agarwal | CRC Press
83,920원(18% 할인 / 4,200원)

21.  
 
How to Build Self-Driving Cars From Scratch, Part 2: A Step-by-Step Guide to Creating Autonomous Vehicles With Python (Paperback)
Bolakale Aremu | AB Publisher LLC
60,660원(18% 할인 / 3,040원)
22.  
 
Generative AI on Google Cloud with LangChain: Design scalable generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud (Paperback)
Leonid Kuligin | Packt Publishing
68,240원(18% 할인 / 3,420원)
23.  
 
Deep Learning: Advanced Network Engineering (Paperback)
Dengsheng Zhang | Independently Published
59,140원(18% 할인 / 2,960원)
24.  
 
使用 Python 进行人工智能和深度学习: 每行代码# (Paperback)
Steven Dascoli | PublishDrive
51,950원(18% 할인 / 2,600원)

25.  
 
Deep Learning with JavaScript: Building Neural Networks with TensorFlow.js and Brain.js (Paperback)
Andrew Davis | Independently Published
49,110원(18% 할인 / 2,460원)
26.  
 
PyTorch LLM: Train, Fine-Tune, and Deploy Large Language Models for Real-World Applications (Paperback)
Charles Sprinter | Independently Published
27,300원(18% 할인 / 1,370원)
27.  
 
Java Programming For Machine Learning With Weka And MOA: A Hands-On Beginner's Guide to Machine Learning, Data Mining, and Predictive Analytics using (Paperback)
Alex Caldwell | Independently Published
30,340원(18% 할인 / 1,520원)
28.  
 
Statistics with Rust, Second Edition: Explore rust programming and its powerful crates across data science, machine learning and NLP projects (Paperback, 2)
Keiko Nakamura | GitforGits
106,170원(18% 할인 / 5,310원)

29.  
 
Coding with ChatGPT and Other LLMs: Navigate LLMs for effective coding, debugging, and AI-driven development (Paperback)
Vincent Austin Hall | Packt Publishing
68,240원(18% 할인 / 3,420원)
30.  
 
End-to-End Differentiable Architecture: Zero-Shot Learning with Infinite Modalities (Paperback)
Jamie Flux | Independently Published
60,660원(18% 할인 / 3,040원)
31.  
 
End-to-End Differentiable Architecture: Engineering Synthetic Creativity via Generative Neural Models (Paperback)
Jamie Flux | Independently Published
60,660원(18% 할인 / 3,040원)
32.  
 
Humanlike: The AI Transformation (Paperback)
Victor Del Rosal | Independently Published
21,150원(18% 할인 / 1,060원)

33.  
 
End-to-End Differentiable Architecture: Pioneering Self-Evolving Networks through Meta-Learning (Paperback)
Jamie Flux | Independently Published
60,660원(18% 할인 / 3,040원)
34.  
 
Digital Defence : Harnessing the Power of Artificial Intelligence for Cybersecurity and Digital Forensics (Hardcover)
Kumar, Ahlad | CRC Press
152,940원(18% 할인 / 7,650원)
35.  
 
Google JAX Cookbook: Perform machine learning and numerical computing with combined capabilities of TensorFlow and NumPy (Paperback)
Zephyr Quent | GitforGits
106,170원(18% 할인 / 5,310원)
36.  
 
Retrieval-Augmented Generation (TypeScript) (Paperback)
Finbarrs Oketunji | Independently Published
104,210원(18% 할인 / 5,220원)

37.  
 
Langchain Langraph: A Step-by-Step Guide to Agent and Multi-Agent Workflows (Paperback)
James Wiglow | Independently Published
25,770원(18% 할인 / 1,290원)
38.  
 
AI for Beginners Made Easy: From Generative Art to Machine Learning - Boost Your Skills & Productivity with Hands-On Exercises in Just One Week (Paperback)
Joseph K. Terry | Independently Published
22,730원(18% 할인 / 1,140원)
39.  
 
Retrieval-Augmented Generation (Paperback)
Finbarrs Oketunji | Independently Published
104,210원(18% 할인 / 5,220원)
40.  
 
Data Science Through R. Unsupervised Learning: Classification and Segmentation (Paperback)
E. Z夾iga | Independently Published
45,490원(18% 할인 / 2,280원)

41.  
 
Ciencia de Datos Con R. Aprendizaje Supervisado: Modelos Univariantes de Series Temporales. Modelos Arimax (Paperback)
E. Z夾iga | Independently Published
45,490원(18% 할인 / 2,280원)
42.  
 
Ciencia de Datos Con R. Aprendizaje Supervisado: Modelos Univariantes de Series Temporales. Modelos Deterministas (Paperback)
E. Z夾iga | Independently Published
45,490원(18% 할인 / 2,280원)
43.  
 
Ciencia de Datos a Trav? de R. Aprendizaje No Supervisado: Clasificaci? Y Segmentaci? (Paperback)
E. Z夾iga | Independently Published
45,490원(18% 할인 / 2,280원)
44.  
 
Ciencia de Datos Con R. Aprendizaje Supervisado: Clasificaci? (Paperback)
E. Z夾iga | Independently Published
45,490원(18% 할인 / 2,280원)

45.  
 
Generative Adversarial Networks and Deep Learning : Theory and Applications (Paperback)
Roshani Raut | Chapman and Hall/CRC
102,580원(18% 할인 / 5,130원)
46.  
 
Techniques and Tools for Artificial Intelligence. Automatic Time Series Forecasting Via R (Paperback)
E. Z夾iga | Independently Published
45,490원(18% 할인 / 2,280원)
47.  
 
Learning PyTorch 2.0, Second Edition: Utilize PyTorch 2.3 and CUDA 12 to experiment neural networks and deep learning models (Paperback, 2)
Matthew Rosch | GitforGits
113,750원(18% 할인 / 5,690원)
48.  
 
Oddly Horrifying AI: Disturbing images roaming through artificial minds (Paperback)
Elara Lys Mercier | Independently Published
37,840원(18% 할인 / 1,900원)

49.  
 
Mastering Deep Learning with PyTorch a Practical Guide: Build Advanced Neural Networks and AI Models Using Dynamic Computation Graphs (Paperback)
Thompson Carter | Independently Published
37,900원(18% 할인 / 1,900원)
50.  
 
Machine Learning with Python: Scikits, TensorFlow, and Keras for Predictive Modeling. (Paperback)
Tommie McBride | Independently Published
40,940원(18% 할인 / 2,050원)