Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
Language: English
Published by Packt Publishing, 2022
- Softcover
- Used
Condition: Used - Good
US$ 44.89
Quantity: 1 available
Add to basketItem description from seller
Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Seller Inventory # M01801819319-G
- Title
- Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
- Author
- Raschka, Sebastian
- Publisher
- Packt Publishing
- Publication year
- 2022
- Condition
- good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1801819319
- ISBN 13
- 9781801819312
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch's simple to code framework.
Purchase of the print or Kindle book includes a free eBook in PDF format.
Key Features
- Learn applied machine learning with a solid foundation in theory
- Clear, intuitive explanations take you deep into the theory and practice of Python machine learning
- Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices
Book Description
Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.
Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself.
Why PyTorch?
PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric.
You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, 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).
This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.
What you will learn
- Explore frameworks, models, and techniques for machines to 'learn' from data
- Use scikit-learn for machine learning and PyTorch for deep learning
- Train machine learning classifiers on images, text, and more
- Build and train neural networks, transformers, and boosting algorithms
- Discover best practices for evaluating and tuning models
- Predict continuous target outcomes using regression analysis
- Dig deeper into textual and social media data using sentiment analysis
Who this book is for
If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch.
Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.
Table of Contents
- Giving Computers the Ability to Learn from Data
- Training Simple Machine Learning Algorithms for Classification
- A Tour of Machine Learning Classifiers Using Scikit-Learn
- Building Good Training Datasets – Data Preprocessing
- Compressing Data via Dimensionality Reduction
- Learning Best Practices for Model Evaluation and Hyperparameter Tuning
- Combining Different Models for Ensemble Learning
- Applying Machine Learning to Sentiment Analysis
- Predicting Continuous Target Variables with Regression Analysis
- Working with Unlabeled Data – Clustering Analysis
- Implementing a Multilayer Artificial Neural Network from Scratch
(N.B. Please use the Look Inside option to see further chapters)
"Synopsis" may belong to another edition of this title.
About the Author
Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. As Lead AI Educator at Grid AI, Sebastian plans to continue following his passion for helping people get into machine learning and artificial intelligence.
Yuxi (Hayden) Liu is a Software Engineer, Machine Learning at Google. He is developing and improving machine learning models and systems for ads optimization on the largest search engine in the world.
Vahid Mirjalili is a deep learning researcher focusing on CV applications. Vahid received a Ph.D. degree in both Mechanical Engineering and Computer Science from Michigan State University.
"About the title" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 10 to 20 business days | 10 to 20 business days |
|---|---|---|
| First item | US$ 11.20 | US$ 22.40 |
Payment methods
Store description
**WILLKOMMEN** im AbeBooks Shop von medimops - dein Onlineshop mit der größten Auswahl an Second Hand Büchern. Stöber dich durch über 4 Millionen Artikel und spare bis zu 70 % im Vergleich zum Neupreis. Wir prüfen alle Artikel sorgfältig auf Qualität und Funktionalität. **WELCOME** to the medimop's AbeBooks shop, the online shop with a large range of second-hand books. Browse more than 4 million articles and save up to 70% on the new price. All our articles are quality checked. ** BIENVENUE ** dans la boutique AbeBooks de momox shop! Spécialiste des articles culturels d'occasion, nous vous offrons une gamme diversifiée de livres d'occasion. Découvrez nos offres et économisez jusqu'à 70% du prix neuf! Nous grarantissons tous nos articles en bon état. ** BENVENUTI ** nello shop medimops di AbeBooks, lo shop online per i libri usati. Abbiamo piu´di 4 milioni di articoli e potete risparmiare fino al 70% rispetto al nuovo. Tutti i nostri prodotti sono controllati a mano per garantire la massima qualità. ** BIENVENIDO ** a la tienda de medimops en AbeBooks, la tienda online con una gran oferta de libros de segunda mano. Navegue por más de 4 millones de artículos y ahorre hasta un 70% sobre el precio nuevo. Todos nuestros artículos son de calidad comprobada. …
Seller's business information
momox SE
Schreiberhauer Straße 30
Berlin, Germany 10317
Terms of sale
1. Scope
For all orders via our store on the AbeBooks Marketplace, the following terms and conditions apply. Unless otherwise agreed, the inclusion of any terms and conditions of your own used by you is contradicted.
2. contracting party, conclusion of contract, correction options
The purchase contract is concluded with momox SE.
The subject of the contract is the sale of goods.
If an article is posted by us on AbeBooks, the activation of the offer page on AbeBooks is the binding offer to conclude a contract under the conditions contained in the article page.
The presentation of the products in the online store does not constitute a legally binding offer, but a non-binding online catalog. You have the option to complete the ordering process via the shopping cart system or the buy now function. You can initially place our products in the shopping cart without obligation and correct your entries at any time before submitting your binding order by using the correction tools provided and explained for this purpose in the order process. By clicking the order button you make a binding offer for the goods contained in the shopping cart. By pressing the button "Buy now" an order is automatically created, which will be sent to the delivery address you have provided and for which a payment is made with the specified payment method.
The confirmation of receipt of your order will be sent by e-mail immediately after sending the order. We accept your order within 2 days by us or AbeBooks on our behalf submitting/issuing a declaration of acceptance or shipping confirmation in a separate email or, if applicable, the payment transaction is carried out by the service provider or the selected payment service provider. The time of execution of the payment transaction depends on the respective selected payment method (see under "Payment"). The relevant alternative for you depends on which of the listed events occurs first.
3. contract language, contract text storage
The language(s) available for the conclusion of the contract: German
We store the text of the contract on our systems, which, however, are not accessible to you.
However, you have the possibility to view your last orders via your AbeBooks account. The full text of the contract is not accessible there.
4. delivery conditions
Shipping costs will be added to the indicated product prices. You can find out more about the amount of the shipping costs at the offers.
5. payment
The payment processing is done by AbeBooks. You can pay the invoice amount by credit card.
6. retention of title
The goods remain our property until full payment.
7. transport damage
If goods are delivered with obvious transport damage, please complain about such defects to the deliverer as soon as possible and contact us immediately. Failure to make a complaint or contact us has no consequences for your legal claims and their enforcement, especially your warranty rights. However, they help us to be able to assert our own claims against the carrier or the transport insurance.
8. warranty
The statutory liability for defects shall apply.
Customer service: Phone number: 0049 (0) 30/488288200
9 a.m. to 6 p.m., e-mail: service@momox-shop.uk
9. liability
For claims based on damage caused by us, our legal representatives or vicarious agents, we shall always be liable without limitation - in the event of injury to life, limb or health - in the event of intentional or grossly negligent breach of duty - in the event of warranty promises, insofar as agreed, or - insofar as the scope of application of the Product Liability Act is opened. In the event of a breach of essential contractual obligations, the fulfillment of which is a prerequisite for the proper execution of the contract and the observance of which the contractual partner may regularly rely on (cardinal obligations) due to slight negligence on our part, on the part of our legal representatives or vicarious agents, liability shall be limited to the amount of the damage foreseeable at the time of the conclusion of the contract, the occurrence of which must typically be expected. Otherwise, claims for damages are excluded.
10. dispute resolution
The European Commission provides a platform for online dispute resolution (ODR), which can be found here: https://ec.europa.eu/consumers/odr/. Consumers have the possibility to use this platform for the settlement of their disputes.
To settle disputes arising from a contractual relationship with a consumer or whether such a contractual relationship exists at all, we are obliged to participate in dispute resolution proceedings before a consumer arbitration board. The responsible body is the Universalschlichtungsstelle des Bundes am Zentrum für Schlichtung e.V., Straßburger Straße 8, 77694 Kehl am Rhein, www.verbraucher-schlichter.de. We will participate in a dispute resolution procedure before this body.
11. protection of minors
If your order includes goods whose sale is subject to age restrictions, we ensure that the customer has reached the required minimum age by using a reliable procedure involving a personal identity and age check. The delivery person will hand over the goods only after the age check has been carried out and only to the customer in person.
Delivery to packing stations is not possible in this case.