AP Computer Science a Premium: Prep Book with 6 Practice Tests + Comprehensive Review + Online Practice (2026) (Barron's AP Prep), 13th Edition by Roselyn Teukolsky, Carman Chris
English | March 3rd, 2026 | ISBN: 9798349700354 | 456 pages | True EPUB | 30.89 MB
Be prepared for exam day with Barron's. Trusted content from AP experts!

AMMAZZA!: Culinary Adventures from New York to Italy and Back Again (A Cookbook)
English | 2026 | ISBN: 1668068710 | 443 pages | True EPUB | 331.84 MB
The long-awaited cookbook from four-time James Beard Award nominee Chef Hillary Sterling, featuring over 100 seasonal recipes showcasing the delicious dishes that have earned her acclaim at the helm of Ci Siamo, Danny Meyer's "flat-out fantastic" (The New York Times) restaurant.

AI-driven Healthcare Innovations: Applications in Neurology and Medicine (ISTE Invoiced)
English | 2026 | ISBN: 1836690967 | 395 pages | True PDF | 4.64 MB
AI-driven Healthcare Innovations presents a timely and authoritative exploration of how artificial intelligence (AI) is transforming modern clinical practices and medical research. Positioned at the intersection of healthcare, data science and computational intelligence, this book provides a comprehensive context for understanding the growing role of AI in diagnosis, treatment and decision-making within neurology and broader medical domains.

AI-Ready PostgreSQL 18: Building Intelligent Data Systems with Transactions, Analytics, and Vectors
English | 2026 | ISBN: 1806028478 | 660 pages | True EPUB | 132.09 MB
Developing intelligent applications that integrate AI, analytics, and transactional capabilities using the latest release of the world's most popular open-source database

AI-Ready Data Blueprints: From Raw Data to AI-Driven Innovation
English | 2026 | ISBN: 9798341631793 | 293 pages | True PDF,EPUB | 16.16 MB
Companies innovating with generative AI understand that having the right data foundation is critical for success and profitability. To best position themselves for long-term success, organizations must prioritize investments in data and AI governance. AI-Ready Data Blueprints is your map to connecting data strategy, GenAI, and ethical practices to build and scale truly effective solutions.

AI-Driven Entrepreneurship: Strategies for Financial Success in Startups and Economies
English | 2026 | ISBN: 9798898812973 | 259 pages | True PDF,EPUB | 14.97 MB
AI-Driven Entrepreneurship: Strategies for Financial Success in Startups and Economies explores how AI enhances innovation, optimizes operations, strengthens risk management, and drives economic development across both emerging and advanced markets.

AI-Driven Computational Engineering for Sustainable Development
English | 2026 | ISBN: 9815324047 | 292 pages | True PDF,EPUB | 15.53 MB
AI-Driven Computational Engineering for Sustainable Development explores the convergence of Artificial Intelligence (AI), Natural Language Processing (NLP), and computational engineering in shaping the transition toward Industry 5.0. The book focuses on human-centric, sustainable, and data-driven approaches that enhance collaboration between humans and machines while improving productivity and environmental outcomes.

AI-Assisted Statistics for Data Scientists 50+ Essential Concepts Using R and Python, 3rd Edition
English | 2026 | ISBN: 9798341666283 | 508 pages | True PDF,EPUB | 22.7 MB
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The third edition of this popular guide expands its practical foundations in R and Python into the modern AI toolkit, with new chapters on neural networks, deep learning, and large language models. Generative AI is integrated throughout, showing how tools such as ChatGPT, Claude, and Gemini work, and how they can support real-world statistical workflows.

AI, Trust and Business Models
English | 2026 | ISBN: 1041144792 | 104 pages | True PDF,EPUB | 7.6 MB
This innovative research monograph explores the nuanced relationship between artificial intelligence, trust dynamics, and value creation in modern organizations.

AI for Time Series: Volume 2: Building Robust and Generalizable Models
English | 2026 | ISBN: 1041018703 | 316 pages | True PDF | 60.01 MB
This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advance algorithms that are transforming time series analysis across industries. The authors highlight the use AI models, particularly those based on deep learning, to study the sequence of data points collected at successive points in time. In the study of the use of AI for general time series analysis, readers are introduced to a recent important model like TimesNet, which has set new benchmarks for general time series analysis.