| |
|
|
 Free Download Foundations of Template-Driven Development: Building Apps Faster with Reusable Templates and AI by Vishal Uttam Mane English | September 8, 2025 | ISBN: N/A | ASIN: B0FQBPDVN1 | 162 pages | EPUB | 3.45 Mb 🚀 Stop reinventing the wheel. Start building smarter.  Free Download Foundations of Structural Biology by Murat Akten English | 2024 | ISBN: 9781984689788 | 366 Pages | True PDF | 24 MB  Free Download Foundations of Linear Algebra for Quantum Theory: Vectors, Matrices, Eigenvalues, and Tensor Products for Quantum Mathematics by Pedro Soares English | September 15, 2025 | ISBN: N/A | ASIN: B0FR9RHNG3 | 79 pages | EPUB | 0.14 Mb Master the Mathematics Behind Quantum Mechanics  Free Download Foundations of Information Systems English | 2025 | ISBN: 9781961584631 | 502 Pages | PDF (True) | 23 MB Foundations of Information Systems is designed to engage students through a combination of practical, real-world applications and thought-provoking scenarios that promote critical thinking and a deeper understanding of core concepts. The pedagogical approach is centered on making information systems relevant to students from an array of backgrounds and career interests. By connecting theory to practice and encouraging students to explore real-world issues, Foundations of Information Systems equips students with the knowledge and skills necessary for success in their academic and professional journeys.  Free Download Foundations of Educational Technology: Integrative Approaches and Interdisciplinary Perspectives, 3rd Edition by Gwendolyn M. Morel, J. Michael Spector English | 2023 | ISBN: 1032208538 | 278 Pages | True ePUB | 11 MB  Free Download Foundations of Building Custom AI Models: A Practical Guide to Understanding AI, LLM Architecture, and Dataset Design by Vishal Uttam Mane English | October 7, 2025 | ISBN: N/A | ASIN: B0FV8GW2LF | 198 pages | EPUB | 4.35 Mb Unlock the Secrets Behind Modern AI and Build Your Own Custom Models  Free Download Foundations of AR & VR Development: Principles, Tools, and Core Technologies Behind Immersive Experiences (Immersive Tech Mastery: Building the Future with AR & VR Book 1) by Vishal Uttam Mane English | September 23, 2025 | ISBN: N/A | ASIN: B0FSF7RJVB | 111 pages | EPUB | 2.76 Mb 🚀 Step into the Future of Technology with AR & VR Development!  Free Download Foundations of AI Agents: From Basics to Building Your First Agent (Crafting AI Agents Series Book 1) by Vishal Uttam Mane English | September 1, 2025 | ISBN: N/A | ASIN: B0FPFF29DX | 143 pages | EPUB | 2.39 Mb 🚀 Build your first AI agent from scratch, no prior experience required!  Free Download Foundations for Better Enterprise Data Management English | 2025 | ISBN: 0642572269029 | 35 Pages | EPUB | 9 MB Many organizations want data to be a strategic asset, but they are hindered by fragmented systems, unclear ownership, and inconsistent quality. Foundations for Better Enterprise Data Management provides a clear, executive-level guide for leaders ready to transform their approach. Instead of emphasizing technical details, Actian CTO Emma McGrattan offers a practical framework for understanding why data initiatives often stall and how strong foundations ensure long-term stability.  Free Download Foundations and Advances of Machine Learning in Official Statistics English | 2026 | ISBN: 3032100038 | 383 Pages | PDF EPUB (True) | 48 MB Machine learning has become an integral part of official statistics over the last decade. This is evident in its many applications in numerous countries and organisations. At the same time, the integration of machine learning into statistical production raises questions about the right mathematical and statistical methodology, the consideration of quality standards and the appropriate IT support. In its four sections, "Methodological aspects", "Legal, ethical, and quality aspects", "Technological aspects" and "Use cases and insights", the book highlights current developments, provides inspiration, outlines challenges and offers possible solutions. It is aimed at methodologists in statistical offices and comparable institutions as well as scientists who are concerned with the further development and responsible use of machine learning |
:
