1.065 hasil untuk machine learning
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Вовед во вештачка интелигенција
„Вовед во вештачка интелигенција“ е авторско образовно издание наменето за запознавање со основните концепти, принципи и практични примени на вештачката интелигенција. Изданието обработува теми поврзани со развојот и примената на вештачката интелигенција, машинското учење, современите AI алатки…
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Artificial Intelligence
…solving, logic and reasoning, knowledge representation, expert systems, machine learning, neural networks, and natural language processing, progressing from basic concepts to advanced methodologies. Written with a strong balance between theory and practice, it includes algorithms, examples…
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Blockchain & Artificial Intelligence (AI): The Future of Intelligent Systems (Academic Edition)
This work is an academic version of the book “Blockchain & Artificial Intelligence (AI): The Future of Intelligent Systems.” The commercial edition is published via Amazon Kindle Direct Publishing. This version is provided for research, citation, and academic reference.
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CHAPTER 14 · POPULATION, FORENSIC AND EDUCATIONAL DOMAINS Dental Public Health and Epidemiology: Predicting Risk, Targeting Prevention and Governing AI in Health Systems
At the population level, artificial intelligence (AI) and machine-learning techniques are being used to predict individual and community caries risk from longitudinal behavioural, socio-economic and clinical data, with the goal of enabling targeted preventive interventions rather than uniform…
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Applied Geostatistics in Python: a Hands-on Guide with GeostatsPy
…modeling, kriging, stochastic simulation, uncertainty quantification, and machine learning applications in subsurface characterization. Supporting materials include a comprehensive glossary, YouTube lecture series, GitHub repositories, and interactive computational dashboards.
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Advancing Edge Artificial Intelligence - System Contexts
…valuable insight to researchers working with edge AI technologies, machine and deep learning engineers, IoT designers, and intelligent systems developers looking to deploy intelligent solutions at the edge.
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APPLICATIONS OF ARTIFICIAL INTELLIGENCE - APPLICABLE TO MATHEMATICS, PHYSICS, CHEMISTRY AND ANY OTHER MATHEMATICAL SCIENCES
…core mathematical and physical sciences. It discusses the integration of machine learning, data-driven modeling, optimization methods, computational intelligence, and predictive analytics in solving complex problems across Mathematics, Physics, and Chemistry. The book highlights AI-based approaches…
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Generative AI for Beginners
Generative AI for Beginners introduces readers to the rapidly growing world of AI that creates original content including text, images, music, video, and code. Designed for students and first-time learners, the book explains how generative models work, their evolution, and their impact on everyday…
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Introduction to Artificial Intelligence (APSCHE Syllabus 2025-26)
This open-access undergraduate textbook aligns with the APSCHE model syllabus (AY 2025–26). It introduces Artificial Intelligence and its subfields (Knowledge Engineering, Machine Learning, Computer Vision, NLP, Robotics), surveys applications across sectors, and addresses ethics, bias, fairness…
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Proceedings of the International Workshop in Neurodevelopmental Impairments in Preterm Children - Computational Advancements (DETERMINED 2022), Ljubljana, Slovenia, August 26, 2022
Workshop Proceedings - 1st International Workshop on Neurodevelopmental Impairments in Preterm Children – Computational Advancements, DETERMINED 2022
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Data Analytics for Sense-Making
…in the book: Introduction to Python Statistical inference Unsupervised learning Natural language processing Linear regression Time series analysis Simulation Supervised learning Computer vision Please refer to the following github repository for more information and details…
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Data Analytics for Sense-Making
…in the book: Introduction to Python Statistical inference Unsupervised learning Natural language processing Linear regression Time series analysis Simulation Supervised learning Computer vision Please refer to the following github repository for more information and details…
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The Physician AI Handbook: Peer-Reviewed Evidence for Every Specialty
A comprehensive, evidence-based handbook for physicians on artificial intelligence in clinical practice, available at physicianaihandbook.com. This resource covers AI applications across all medical specialties, from radiology and pathology to primary care and emergency medicine. The handbook…
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Neural Networks and Deep Learning: Foundations and Applications BY Prof. Vinayak Vijay Palmur,Prof. Nagesh Anand Goden,Ms. Pratiksha Chandrashekhar Parkarwar,Mr. Nehal Mane
Deep learning has rapidly evolved from a specialized research domain into a transformative force shaping modern technology. From personalized recommendations and intelligent voice assistants to autonomous driving and medical diagnostics, deep learning now powers countless real-world applications…
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The Forward Deployed Engineer's Handbook — Preview Edition (Cover, Overview & Sample Chapter)
…concept in the book — Python, pandas, SQL, data pipelines, Airflow, dbt, machine learning, deep learning, RAG, LLM agents, AI security, and FDE consulting — is applied to the same company, the same characters, and the same messy multi-currency, multi-timezone data, culminating in a complete…
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Future of Work: Technological Advancements and Human Adaptation
…- Dr. Deepali Ashok Pagare (Bhagat) Chapter 13 : AI FOR PERSONALIZED LEARNING AND SKILL DEVELOPMENT - Sadia kausar Chapter 14 : BLOCKCHAIN FOR SECURE, DECENTRALIZED EMPLOYMENT CONTRACTS - Shweta Lilhare Chapter 15 : IMPLICATIONS OF AI AND ROBOTICS ON ECONOMIC INEQUALITY - Dr. Yashaswini N. L…
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Ubiquitous, not universal: the limits of AI scaling
Nature spent 10^25 to 10^40 learning instances to produce general intelligence. Current AI performs roughly 10^7 gradient updates. This book measures the eighteen to thirty-three order of magnitude gap, identifies the constraints that prevent closing it, and projects where efficiency improvements…
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Industrial Artificial Intelligence Technologies and Applications
…across different industrial sectors. New AI techniques like embedded machine learning (ML) and deep learning (DL) capture edge data, employ AI models and deploy them to hardware target edge devices from ultra-low-power microcontrollers to embedded devices, gateways, and on-premises servers for…
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Intelligent Budgeting: AI versus Traditional Methods: Evidence from the Tehran Stock Exchange and Global Practice
…international research on management accounting, financial forecasting, machine learning, organisational capabilities, and AI governance. The empirical study examines 25 listed firms over the period 2021–2025, comprising 125 firm-year observations. It investigates overall budgeting efficiency…
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