Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↑ Price chart
when this has been cheap or pricey

↑ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price Distribution

Price distribution over 42 days • 1 price levels

Days at Price

Price Analysis

Most common price: £54 (42 days, 100.0%)

Price range: £54 - £54

Price levels: 1 different prices over 42 days

Description

AI applications like ChatGPT can seem almost magical. A simple prompt can generate a new poem, or even write code for you. But how does this magic happen? That’s where The StatQuest Illustrated Guide to Neural Networks and AI comes in. This book takes the algorithms, no matter how complicated, and breaks them down into small, bite-sized pieces that are easy to understand. Each concept is clearly illustrated to provide you with an intuition about how the methods work that goes beyond the equations alone. The StatQuest Illustrated Guide does not dumb down the concepts. Instead, it builds you up, so you’re smarter and have a deeper understanding of neural networks and AI. The StatQuest Illustrated Guide to Neural Networks and AI starts with the basics, showing you how a simple neural network fits a shape to data and then builds from there, one step at a time, until you have mastered the concepts behind today’s revolution in AI. Furthermore, putting the theory into practice is easy because each major concept is paired with a PyTorch tutorial that teaches you how to code each neural network from scratch. Here's what people are saying about The StatQuest Illustrated Guide to Neural Networks and AI: This book is a game changer. With simple yet thorough diagrams, useful and relevant code examples, and his usual fun analogies, Starmer one more time manages to demystify the complexity behind neural networks. Topics such as transformers, LSTMs, and attention mechanisms will not be a mystery anymore after reading this gem. - Luis Serrano, Founder and CEO of Serrano Academy and author of Grokking Machine Learning Fellow fans of StatQuest should rejoice for this accessible introduction to some of the most important concepts in AI. It reads like a playful comic that gently and visually guides you along the math that powers today's AI revolution - Jay Alammar, author of The Illustrated Transformer and, with Maarten Grootendorst, Hands-On Large Language Models

Product Specifications

Format: hardcover
ASIN: B0DQXYC14Q
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 06 January 2025
Listed Since: 19 December 2024

Barcode

No barcode data available

It has never been this cheap. We have no record of a lower price.

The StatQuest Illustrated Guide to Neural Networks and AI

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Packt Transformers for NLP - Build and Train AI Models

Packt Transformers for NLP - Deep Learning with Python and PyTorch

Hands-On Artificial Intelligence for Beginners: An introduction to AI concepts, algorithms, and their implementation

Tinker Toddlers Solar System for Kids - Space Science Book

Mastering PyTorch: Build powerful neural network architectures using advanced PyTorch 1.x features

Transformers and Large Language Models: The Definitive Study Guide: From Foundations to Advanced Applications: A Comprehensive Resource for Mastering ... Modern AI: Foundations to Production)

Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion Models

Springer Deep Learning: Concepts and Architectures (866)

Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Python for Natural Language Processing: Programming with NumPy, scikit-learn, Keras, and PyTorch (Cognitive Technologies)

Meta-Learning: Theory, Algorithms and Applications

O'Reilly Hands-On Machine Learning Scikit-Learn and PyTorch

Springer Deep Learning: Concepts and Architectures Book

Neural Networks and Deep Learning: A Textbook

Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models

Manning Math and Architectures of Deep Learning - Python Book

Neural Networks and Deep Learning: A Textbook

Large Language Model Crash Course: Hands on With Python (Mastering Machine Learning)

Python, Deep Learning, and LLMs: A Crash Course for Complete Beginners

Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch

A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and Python

Principles and Labs for Deep Learning

Academic Press AI Assurance - Trustworthy and Ethical AI Book

It has never been this cheap. We have no record of a lower price.

The StatQuest Illustrated Guide to Neural Networks and AI

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Packt Transformers for NLP - Build and Train AI Models

Packt Transformers for NLP - Deep Learning with Python and PyTorch

Hands-On Artificial Intelligence for Beginners: An introduction to AI concepts, algorithms, and their implementation

Tinker Toddlers Solar System for Kids - Space Science Book

Mastering PyTorch: Build powerful neural network architectures using advanced PyTorch 1.x features

Transformers and Large Language Models: The Definitive Study Guide: From Foundations to Advanced Applications: A Comprehensive Resource for Mastering ... Modern AI: Foundations to Production)

Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion Models

Springer Deep Learning: Concepts and Architectures (866)

Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Python for Natural Language Processing: Programming with NumPy, scikit-learn, Keras, and PyTorch (Cognitive Technologies)

Meta-Learning: Theory, Algorithms and Applications

O'Reilly Hands-On Machine Learning Scikit-Learn and PyTorch

Springer Deep Learning: Concepts and Architectures Book

Neural Networks and Deep Learning: A Textbook

Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models

Manning Math and Architectures of Deep Learning - Python Book

Neural Networks and Deep Learning: A Textbook

Large Language Model Crash Course: Hands on With Python (Mastering Machine Learning)

Python, Deep Learning, and LLMs: A Crash Course for Complete Beginners

Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch

A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and Python

Principles and Labs for Deep Learning

Academic Press AI Assurance - Trustworthy and Ethical AI Book