Claims Browser

The book provides the ability to build real-world computer vision solutions using PyTorch.

"🔵Build solutions for real-world computer vision problems using PyTorch."

The book enables understanding of various neural network architectures, including image classification, object detection, segmentation, generative adversarial networks, transformers, and diffusion models.

"🟣Understand the inner workings of various neural network architectures and their implementation, including image classification, object detection, segmentation, generative adversarial networks, transformers, and diffusion models."

The 4th edition of Artificial Intelligence: A Modern Approach covers deep learning, transfer learning, multi-agent systems, robotics, natural language processing, causality, and more.

"UPDATED 4th edition of this classic AI textbook [1166 pages] now covers Deep Learning, Transfer Learning, multi-agent systems, robotics, NLProc, causality & much more!"

Transfer learning enables machine learning systems to leverage auxiliary data and models to solve target problems with small amounts of data.

"It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small amount of data available."

The book implements core reasoning methods from scratch rather than using black-box library calls.

"The book is especially useful because it implements the core methods from scratch rather than treating them as black-box library calls."

The book 'AI Agents in Action' has been updated with a second edition.

"New! Updated! 2nd Edition!"

The main topics in agentic AI engineering include reasoning loops, core components, system prompt and tool design, and building single- and multi-agent systems in Python.

"Main Topics: • How autonomous systems differ from automation • Reasoning loops and core components • Designing system prompts and tools • Building single- and multi-agent systems in Python"

Agentic AI engineering is about designing, building, and prompting LLM-based agents for systems that reason and act autonomously and are ready for real-world deployment.

"Agentic AI Engineering for Systems that Reason and Act Autonomously – Design, Build, and Prompt LLM-Based Agents for Real-World Deployment"

RAG-enhanced applications can be implemented using Streamlit.

"Implement a RAG-enhanced application using Streamlit"

Vector-based bot detection can be used for cybersecurity.

"Use vector-based bot detection for cybersecurity"

Log prediction can be implemented for next-generation observability.

"Implement log prediction for next-generation observability"

Vector search can detect and mask personally identifiable information (PII).

"Detect and mask personally identifiable information"

Vector search can be used to optimize performance.

"Optimize performance by harnessing the capabilities of vector search"

Vector Search for Practitioners with Elastic is a toolkit for building NLProc solutions for search, observability, and security.

"Vector Search for Practitioners with Elastic — A toolkit for building NLProc solutions for search, observability, and security"

The book covers topics from introduction to OpenSearch to installation, data ingestion, querying, visualization, security, and performance optimization, with practical examples and tutorials for hands-on learning.

"Starting with an introduction to OpenSearch, you’ll get to grips with the key features before delving into essential topics such as installing OpenSearch, ingesting data, crafting queries, visualizing results, ensuring security, and optimizing performance. Each concept is accompanied by practical examples and tutorials, allowing you to grasp the material through hands-on experience."

The book was written by distinguished AWS Solutions Architects and combines deep technical expertise with practical, hands-on knowledge for implementing OpenSearch in real-world scenarios.

"Written by distinguished AWS Solutions Architects Jon Handler, Ph.D., a former search engine developer, Prashant Agrawal, a search specialist, and Soujanya Konka, an expert in large-scale data migrations, this guide brings together deep technical expertise with practical, hands-on knowledge of implementing OpenSearch in real-world scenarios."

Derived from Elasticsearch as a fork, OpenSearch offers a community-driven, Apache 2.0-licensed solution for data-intensive applications, along with OpenSearch Dashboards for data visualization and exploration.

"Derived from Elasticsearch as a fork, it offers a community-driven, Apache 2.0-licensed solution for data-intensive applications, along with OpenSearch Dashboards for data visualization and exploration."

OpenSearch is an open-source search and analytics suite that provides scalable full-text search, real-time application monitoring, log analytics, security analytics, and vector database capabilities.

"OpenSearch is an open-source search and analytics suite that provides scalable full-text search, real-time application monitoring, log analytics, security analytics, and vector database capabilities."