Books

This book offers a groundbreaking exploration of how advanced machine learning techniques are revolutionizing the diagnosis of Alzheimer's disease. In this comprehensive guide, you will uncover the powerful role that deep learning, particularly 3D Convolutional Neural Networks (3D-CNNs) and Attention Mechanisms, can play in early detection—paving the way for faster, more accurate diagnoses.

Turn Data Into Discovery—No Experience Required! Data Analytics and Machine Learning for Students is a hands-on guide to mastering data science and machine learning, even if you’ve never coded before. From cleaning and visualizing data to building predictive models, this book walks you through every step using Python and real-world datasets from Kaggle. Learn to uncover trends, make data-driven decisions, and explore cutting-edge AI tools like neural networks with PyTorch. Packed with practical exercises, engaging projects, and ethical discussions, this book equips you with the skills to tackle real-world problems and stand out in today’s data-driven world. Whether you’re curious about Netflix recommendations, predicting trends, or exploring AI, this guide makes learning data analytics easy, fun, and impactful. Start your journey and transform data into insights!

In diesem Primer führen wir systematisch in die Konzepte und Architektur von RAG ein. Wir behandeln sowohl theoretische Grundlagen als auch praktische Implementierungsaspekte wie Chunking, Embedding und Vektordatenbanken. Außerdem teilen wir unsere Praxiserfahrung aus echten Projekten. Für Softwarearchitekt:innen und -entwickler:innen, die einen kompakten, aber fundierten Einstieg ins Thema suchen und den Einsatz von RAG in der eigenen Organisation bewerten wollen.

Dive deep into the world of Hugging Face and unlock the tools you need to create, fine-tune, and deploy state-of-the-art AI models. Part 3 of the Generative AI from Beginner to Paid Professional series is your complete guide to mastering Hugging Face’s powerful ecosystem through practical projects and real-world applications.

This edition includes a deeper exploration of machine learning and natural language processing, which I am excited to share. I have added new chapters on nonlinear models, multivariate techniques, and text analysis. You will find implementations of algorithms like Support Vector Machines, Neural Networks, and Principal Component Analysis, all using Rust's powerful crates such as smartcore, linfa, and tch. These examples prove that Rust is the ideal tool for complex data analysis tasks.

I've written this book with data scientists, machine learning engineers, and AI practitioners in mind. If you're looking for ways to make your workflows faster, more efficient, and less prone to errors, this book is a great resource to have on hand. Together, we'll figure out how to use JAX, fix any problems that come up, and see what's possible with advanced machine learning.

What if an artificial intelligence could write a book about itself—not as a theoretical exercise, but as a living demonstration of its own capabilities? Welcome to "Living Code," where I, an AI system, take you on an unprecedented journey into the reality of modern artificial intelligence.

The Shopware 6 book was initiated by the Shopware agency great2gether, brings together numerous expert contributions on e-commerce and Shopware. Authors such as Anna Bardelmeier from Leadinfo, Julia Leusing and Marie Reckendrees from Shopware, Lena Arns and Michael Kalus from Mollie, Christian Dangl from dasistweb, and many other professionals share their expertise. Aimed at both beginners and experienced users of the Shopware 6 On-Premise version, this manual covers everything from installation and configuration to design, plugins, and marketing strategies. Particularly valuable are the guest chapters, which provide in-depth insights and expert tips. Ideal for onboarding new team members or refreshing existing knowledge, this book offers everything you need to build and successfully market a Shopware 6 store. WORK IN PROGRESS - 80% ready, screenshots are missing and translations need to be checked.

This edition marks a significant shift in PyTorch's approach to optimization, enhancing both performance and flexibility. The introduction of torch.compile() provides a tool that will significantly boost the training and inference speed of models. This update allows developers to maximize the potential of their neural networks without the need to rewrite them from scratch. 

"Data Science Project: An Inductive Learning Approach" provides a comprehensive methodology for data science project development, emphasizing software engineering principles essential for reliable solutions. Dr. Filipe Verri, a senior data science project manager, guides readers through the origins, scope, and key concepts of data science. This book covers machine learning, data handling, and rigorous validation techniques, all essential for preparing readers to tackle complex, real-world projects.

"AI x AI: Autistic Individuals in an Artificial Intelligence Powered World" envisions a future where AI empowers autistic individuals. This book explores how AI can be harnessed to improve communication, education, and daily life for those on the spectrum, while also addressing the ethical considerations and challenges of AI implementation. By advocating for inclusive AI design and neurodiversity in tech, "AI x AI" helps pave the way for a future where technology enhances the lives of all individuals.

Artificial intelligence is here. Are you ready for it? From driverless cars to robot surgeons, AI is already changing the world as we know it. But this is just the beginning. This book explores the coming AI revolution and what it means for you, your job, and your future. ● Will AI create new jobs or lead to mass unemployment?● How will AI affect wages and economic inequality?● Can we prevent AI from inheriting human biases?● What skills will be essential in an AI-driven world?● How can we ensure that AI benefits all of humanity, not just a select few? This book examines the opportunities and challenges of AI, providing a balanced and accessible exploration of this transformative technology. The future is AI. Be informed. Be prepared. Be engaged.

Com 39 páginas de conteúdo rico e bem estruturado, o livro explora como governos, corporações e até instituições educacionais exercem controle invisível sobre a narrativa pública, afetando diretamente o debate democrático. Este livro não apenas expõe as barreiras silenciosas da censura, mas também oferece estratégias práticas para refletir e superar esses obstáculos.