Wil je zeker zijn dat je cadeautjes op tijd onder de kerstboom liggen? Onze winkels ontvangen jou met open armen. Nu met extra openingsuren op zondag!
- Afhalen na 1 uur in een winkel met voorraad
- Gratis thuislevering in België vanaf € 30
- Ruim aanbod met 7 miljoen producten
Wil je zeker zijn dat je cadeautjes op tijd onder de kerstboom liggen? Onze winkels ontvangen jou met open armen. Nu met extra openingsuren op zondag!
- Afhalen na 1 uur in een winkel met voorraad
- Gratis thuislevering in België vanaf € 30
- Ruim aanbod met 7 miljoen producten
Machine Learning Q and AI
30 Essential Questions and Answers on Machine Learning and AI
Sebastian Raschka
Paperback | Engels
€ 67,45
+ 134 punten
Omschrijving
Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field. If you're ready to venture beyond introductory concepts and dig deeper into machine learning, deep learning, and AI, the question-and-answer format of Machine Learning Q and AI will make things fast and easy for you, without a lot of mucking about. Born out of questions often fielded by author Sebastian Raschka, the direct, no-nonsense approach of this book makes advanced topics more accessible and genuinely engaging. Each brief, self-contained chapter journeys through a fundamental question in AI, unraveling it with clear explanations, diagrams, and hands-on exercises. WHAT'S INSIDE: FOCUSED CHAPTERS: Key questions in AI are answered concisely, and complex ideas are broken down into easily digestible parts. WIDE RANGE OF TOPICS: Raschka covers topics ranging from neural network architectures and model evaluation to computer vision and natural language processing. PRACTICAL APPLICATIONS: Learn techniques for enhancing model performance, fine-tuning large models, and more. You'll also explore how to:
- Manage the various sources of randomness in neural network training
- Differentiate between encoder and decoder architectures in large language models
- Reduce overfitting through data and model modifications
- Construct confidence intervals for classifiers and optimize models with limited labeled data
- Choose between different multi-GPU training paradigms and different types of generative AI models
- Understand performance metrics for natural language processing
- Make sense of the inductive biases in vision transformers If you've been on the hunt for the perfect resource to elevate your understanding of machine learning, Machine Learning Q and AI will make it easy for you to painlessly advance your knowledge beyond the basics.
- Manage the various sources of randomness in neural network training
- Differentiate between encoder and decoder architectures in large language models
- Reduce overfitting through data and model modifications
- Construct confidence intervals for classifiers and optimize models with limited labeled data
- Choose between different multi-GPU training paradigms and different types of generative AI models
- Understand performance metrics for natural language processing
- Make sense of the inductive biases in vision transformers If you've been on the hunt for the perfect resource to elevate your understanding of machine learning, Machine Learning Q and AI will make it easy for you to painlessly advance your knowledge beyond the basics.
Specificaties
Betrokkenen
- Auteur(s):
- Uitgeverij:
Inhoud
- Aantal bladzijden:
- 264
- Taal:
- Engels
Eigenschappen
- Productcode (EAN):
- 9781718503762
- Verschijningsdatum:
- 16/04/2024
- Uitvoering:
- Paperback
- Formaat:
- Trade paperback (VS)
- Afmetingen:
- 176 mm x 234 mm
- Gewicht:
- 498 g
Alleen bij Standaard Boekhandel
+ 134 punten op je klantenkaart van Standaard Boekhandel
E-BOOK ACTIE
Beoordelingen
We publiceren alleen reviews die voldoen aan de voorwaarden voor reviews. Bekijk onze voorwaarden voor reviews.