0 ratings
제품번호 #:
142608441
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python Paperback – 25 Feb. 2022
제품번호 #:
142608441
KRW 65925
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from EU
0 ratings
리뷰 작성
재고
EU 스토어에서 가져옴
이 제품은 Ubuy에서 이행되지 않으며 배송에 최소 10일이 소요될 수 있습니다. 이 제품의 배송에 문제가 발생할 경우 주문에서 제품 취소 및 환불이 가능할 수 있습니다.
Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Our Top Logistics Partners
Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
제품 세부 정보
| Publisher | Packt Publishing |
| Publication date | 25 Feb. 2022 |
| Language | English |
| Print length | 770 pages |
| ISBN-10 | 1801819319 |
| ISBN-13 | 978-1801819312 |
| Dimensions | 19.05 x 4.45 x 23.5 cm |
| Country of Origin | This item will be imported from EU |
| What is in the box | Machine Learning with PyTorch... For more details, please check description/product details |
제품 설명
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python Paperback – 25 Feb. 2022
About This Item
Are you looking to delve into the fascinating field of machine learning? Look no further than Machine Learning with PyTorch and Scikit-Learn. This comprehensive guide combines the power of two leading Python libraries, PyTorch and Scikit-Learn, to help you develop and implement cutting-edge machine learning and deep learning models. With a practical and hands-on approach, this book is perfect for beginners and experienced data scientists alike. Whether you're just starting out or looking to expand your knowledge, you'll find valuable insights and techniques to enhance your machine learning skills. PyTorch, known for its flexibility and ease of use, forms the backbone of this book.
You'll learn how to build and train machine learning models using PyTorch's intuitive interface and powerful computational capabilities. Dive into the world of deep learning as you explore neural networks, convolutional networks, recurrent networks, and more. But that's not all – we also bring in the power of Scikit-Learn, another renowned machine learning library. By integrating Scikit-Learn with PyTorch, you'll have access to a wider range of algorithms and frameworks for solving complex real-world problems.
From classification and regression to clustering and dimensionality reduction, this book covers it all. Throughout the book, you'll find practical examples and code snippets that illustrate key concepts and techniques. From building your own machine learning projects to implementing natural language processing and tackling advanced topics, this book will equip you with the skills you need to excel in the field of machine learning. Don't miss out on the opportunity to become a machine learning expert. Get your copy of Machine Learning with PyTorch and Scikit-Learn today and embark on an exciting journey into the world of data science and artificial intelligence.
질문이 있으십니까? 채팅하기
고객 질문 및 답변
-
의문:
What are the essential parts of PyTorch?
답변: The book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. -
의문:
What are the latest trends in deep learning covered in the book?
답변: This new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). -
의문:
Who is the book for?
답변: This book is for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch.
편집 검토
편집 리뷰가 없습니다.
Customer Reviews & Ratings
1 고객 평가
-
5 점
100%
-
4 점
0%
-
3 점
0%
-
2 점
0%
-
1 점
0%
이 제품 리뷰하기
다른 고객들과 의견을 공유하세요.
장점
- Clear and concise explanations
- Hands-on coding examples
- Covers both ML and DL
- Great for beginners and pros
- Up-to-date with latest tools
단점
- Could include more advanced topics.
Product Price History
중요 정보
- 제한 사항: 국제 배송되는 제품의 경우 제조업체 보증이 유효하지 않을 수 있으며, 제조업체 서비스 옵션을 사용하지 못하거나 제품 설명서, 지침 및 안전 경고가 대상 국가 언어로 표시되지 않을 수 있으며, 제품(및 첨부 자료)은 도착 국가 표준, 사양 및 라벨링 요구 사항에 따라 설계되지 않을 수 있으며, 제품은 목적지 국가 전압 및 기타 전기 표준을 준수하지 않을 수 있습니다(가능한 경우 어댑터 또는 변환기 사용 필요). 수령인은 제품을 도착 국가로 합법적으로 수입할 수 있는지 확인할 책임이 있습니다. Ubuy 또는 그 제휴사에서 주문할 때, 수령인은 기록 수입자로서 도착 국가의 모든 법률과 규정을 준수해야 합니다.
- Ubuy는 글로벌 검색 엔진이므로 Ubuy에 나열된 모든 제품이 판매용은 아닙니다. 제품은 수출/무역 규정을 따릅니다.
KRW 65925
이 제품은 Ubuy에서 이행되지 않으며 배송에 최소 10일이 소요될 수 있습니다. 이 제품의 배송에 문제가 발생할 경우 주문에서 제품 취소 및 환불이 가능할 수 있습니다.
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Our Top Logistics Partners
Fastest cross-border delivery
특징 및 장점
- Learn applied machine learning with a solid foundation in theory
- Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices
- Teaches principles allowing you to build models and applications for yourself
- Companion to machine learning with Python
- For developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch