1.065 hasil untuk machine learning
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Buku
CRISPR Systems and Artificial Intelligence. Technical Frontiers, Therapeutic Applications, and Sociotechnical Governance
…editors (CBE/ABE), prime editors, and epigenome editors — alongside the machine learning and deep learning systems that now drive guide RNA design, off-target prediction, and editing outcome optimisation. Part II maps the therapeutic landscape, with particular focus on genetic rare diseases and…
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Advanced Financial Modeling for Stock Price Prediction: A Quantitative Methods
…news on volatility. In the latter part of the book, the focus shifts to Machine Learning, demonstrating how techniques like Support Vector Machines and Neural Networks can uncover complex patterns in financial data and enhance prediction accuracy. Recurrent Neural Networks, particularly LSTMs, are…
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10 Metode SPK Favorit di Masa Depan
Buku ini membahas Pengantar, Metode Fuzzy Logic, Metode Neural Network, Metode Machine Learning, Metode Deep Learning, Metode Natural Language Processing, Metode Simple Additive Weighting (SAW), Metode Analytical Hierarchy Process (AHP), Metode Technique For Order Preference by Similarity to Ideal…
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Artificial Intelligence in Business and Social Sciences: Concepts and Applications
…sciences, and organizational decision-making. The rapid development of machine learning, deep learning, natural language processing, generative AI, predictive analytics, and intelligent automation is reshaping the way organizations operate, compete, communicate, and create value. This book…
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Transformer Architecture: From Language Models to Large Language Models (in Hebrew)
…models to large language models. Written for university students in machine learning. Language: Hebrew. Licensed under CC BY-NC-ND 4.0.
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Artificial Intelligence in Modern Sports
Artificial intelligence is revolutionizing every scope of science, and sports shouldn't be an exception. AI can be beneficial in a variety of sports, including media and broadcasting, as well as referee decisions and athlete performance. This is why I have endeavored to provide a comprehensive…
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Enterprise Artificial Intelligence: Agentic AI, Large Language Models, and Intelligent Systems
Enterprise Artificial Intelligence: Agentic AI, Large Language Models, and Intelligent Systems is a practical guide to designing, building, and operating enterprise AI platforms. The book covers agentic AI, large language models, retrieval-augmented generation, enterprise AI architecture, MLOps and…
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Web LLM Attacks: Unveiling the Future of Cyber Threats EBook.
Web LLM Attacks: Unveiling the Future of Cyber Threats In this cutting-edge research, we dive deep into the rising threat of Web-based Large Language Model (LLM) attacks, a new frontier in cybersecurity. With the increasing reliance on AI-driven systems for web applications, attackers are now…
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GM-Omega-Infinity: Topos-Native Intelligence
GM-Omega-Infinity: Topos-Native Intelligence A Sheaf-Theoretic Architecture for Verifiable Machine Intelligence GM-Omega-Infinity: Topos-Native Intelligence is the second work in the WiseMotif Monograph of Mathematical Intelligence and belongs to the Grothendieckian Programme, whose central part is…
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Building India's Future Workforce Multidisciplinary Perspectives on Skills and Employability
…and the challenges associated with bridging the gap between academic learning and industry expectations. Bringing together perspectives from different academic and professional domains, this publication aims to contribute to the ongoing discourse on India's human capital development and its…
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The Dynamic Corpus: Orchestrating Large Language Models with Decoupled Tools Welcome to the dawn of connected intelligence
This book is a practical guide to building advanced AI systems that connect the static, reasoning mind of a Large Language Model (LLM) to the dynamic world of real-time data and services. It introduces the Dynamic Corpus paradigm, where an LLM orchestrates a suite of external, independent tools to…
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The Dynamic Corpus: Orchestrating Large Language Models with Decoupled Tools Welcome to the dawn of connected intelligence 动态语料库:通过解耦工具编排大 型语言模型 欢迎来到互联智能的黎明 拉米罗·贾蒂瓦
This book is a practical guide to building advanced AI systems that connect the static, reasoning mind of a Large Language Model (LLM) to the dynamic world of real-time data and services. It introduces the Dynamic Corpus paradigm, where an LLM orchestrates a suite of external, independent tools to…
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Buku Teks lengkap
RSV Laboratory Advanced AST Analysis Tool (rsv_4.6_skd) — User Manual
…MDR/XDR/PDR classification per Magiorakos et al. (2012), and an advanced Machine Learning suite for resistance pattern analysis . Users will find detailed instructions on data management, breakpoint editing, and generating publication-quality visualizations such as heatmaps and MIC vs. Zone…
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3D ViT in Medical Imaging From Theory to TensorFlow Practice
The present book, “3D ViT in Medical Imaging: From Theory to TensorFlow Practice,” builds upon the foundations established in my previous work, “Vision Transformers in Medical Imaging: Foundations and Applications.” While the earlier book introduced the principles of Vision Transformers and their…
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Imicabango Yase-Afrika: AI-Curious Conversations
Five written interviews, commissioned for the Fak'ugesi African Digital & Innovation Festival 2026, on how artificial intelligence is made, whose knowledge shapes it, and what happens when it enters the world. The conversations are with Dr Tammy Hodgskiss Reynard, Prof. Sennay Ghebreab, Prof…
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A Methodology for achieving the titlke of the International Chess Master within one year
…from cognitive science (chunking, deliberate practice), neuroplasticity, machine learning, and human-machine interaction. The paper includes: a theoretical justification and a neuropsychological model of the method; a training methodology; a complete program for implementation in the educational…
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Biological Networks and Computational Graphs
…including genomics, cancer research, drug discovery, systems biology, and machine learning on graphs. Inside this book, readers will explore: Fundamentals of graph theory applied to biology Types of biological networks and their properties Network topology and biological metrics Graph algorithms…
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Artificial Intelligence in Sleep Medicine: From Neuroscience to Implementation
…thalamocortical loops to consciousness theories—with state-of-the-art machine learning approaches. It covers the complete pipeline from data acquisition and preprocessing through model development, validation, and clinical deployment. Special emphasis is placed on explainable AI, fairness auditing…
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Mastering Grad-CAM with TensorFlow: From Theory to Medical Applications
…Mapping) and its applications in medical imaging . In recent years, deep learning models—particularly Convolutional Neural Networks (CNNs)—have played a transformative role in computer vision. However, one of their major limitations remains their "black box" nature, which makes it difficult for…
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The 20-Watt Computer: How the Brain Computes. A Quantitative Approach for Engineers
A free textbook that treats the brain as an engineer would treat a machine: circuits, signals, codes, control loops, learning rules and energy budgets. Neuron types are named by what they put on the wire (GLUT, GABA, DOPA, SERO, NORA, ACET). Every number in the book comes from a small Python model…
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