1.065 hasil untuk machine learning
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Inteligencia Artificial Aplicada con técnicas de Procesamiento de Lenguaje Natural y Machine Learning en el campo de la salud.
La Inteligencia Artificial (IA), el Procesamiento del Lenguaje Natural (NLP) y el Aprendizaje Automático (ML) han jugado un papel crucial en la lucha contra la pandemia de Covid-19, proporcionando herramientas tecnológicas valiosas para el diagnóstico, seguimiento y control de la enfermedad…
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Machine Learning for Data Science BY Mrs. Manisha Ravindra Parkhe, Mr. Ravindra Ambadas Parkhe, Dr. Vishalakshi H, Dr. Srinivasan Nagaraj
Machine learning has emerged as one of the most transformative and dynamic fields in data science, revolutionizing how we interpret, analyze, and derive insights from vast and complex data sets. This book represents the collaborative efforts of multiple experts dedicated to bridging the gap between…
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Machine Learning in Practice: Real-World Applications and Techniques BY Ms. Veena S, Mrs. Bhavya Jyothi A, Ms. Shagun Singh
Machine Learning (ML) has transitioned from an emerging research field to a central pillar of modern technology, driving innovation across nearly every sector—healthcare, finance, manufacturing, transportation, agriculture, cybersecurity, and more. As organizations increasingly rely on data-driven…
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Artificial intelligence with Machine Learning concepts BY Mr. M. Ezhilvendan, Dr.Chaitanya Kishore Reddy Maddireddy, Dr Rohan Ishwar, Mrs. Vadla Anuja
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the way we live, work, and interact with the world around us. The rapid advancements in these fields have not only transformed technology but also brought about a paradigm shift across various industries, including…
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Foundations of Machine and Deep Learning Using Python
Foundations of Machine and Deep Learning Using Python introduces the core principles and practical implementation of intelligent algorithms using the Python programming language. It covers essential concepts such as data preprocessing, supervised and unsupervised learning, neural networks, and deep…
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Machine Learning Mastery Techniques for Real World Applications BY Prof. Sachin Subhashrao Patil,Prof. Pinky Gangwani, Prof.Avantika Wadaskar, Prof. Gaurav Agrawal
Welcome to the exciting world of MACHINE LEARNING :Mastery Techniques for Real World Applications (ML)! This book aims to be your guide on a journey of discovery, equipping you with the fundamental concepts and algorithms that drive this transformative field. Machine Learning :Mastery Techniques…
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Quantum Machine Learning: A Guide to Quantum AI BY Dr. Srinivasan Nagaraj, Mohammad Ashique Azad, Dr. Gayathri Devi Kalyanakaari, Dr. Madhukar Cherukuri
Quantum Machine Learning: A Guide to Quantum AI emerges at the crossroads of two of the most transformative fields of modern science: quantum computing and artificial intelligence. This book represents a collective effort by experts from diverse disciplines to illuminate the immense potential and…
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Machine Learning and Quantum Computing Guide for Humans by Ms. Anandhi T, Dr D Anita Daniel , Dr. Deeptha R, Dr. K. Sathyamoorthy
The integration of Machine Learning (ML) and Quantum Computing emerges as one of the most promising frontiers in the tech landscape, presenting transformative potential across industries and research domains. This book, "Machine Learning and Quantum Computing Guide for Humans," is envisioned as a…
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Code of Intelligence: Understanding Artificial Intelligence and Machine Learning BY Mr. Bhanu Krishna Jaina, Mr. Nakka Maisaiah, Dr I. Lakshmi , Prof. Shiburaj Pappu
In the past few decades, few fields have captured the collective imagination like Artificial Intelligence (AI) and Machine Learning (ML). From the realm of science fiction to the fabric of our daily lives, these technologies have moved from the margins of research labs to the core of industries…
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An Approach to Identify Machine Learning and Deep Learning Methods and Data to Understand Common Time Variant Models That Can Forecast Both Crypto Currencies and Equities
…the world as a whole. There has been minimal research in this area to use Machine learning and deep learning approach to help predict the price of cryptocurrency and equities and other behaviours. There has also been very minimal research to understand the relationship on whether the change in the…
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From Zero to AI: An Easy Beginner's Guide to Artificial Intelligence, Machine Learning, Generative AI, ChatGPT, AI Agents, and the Future of Intelligent Technology
…the fundamentals of Artificial Intelligence to modern innovations such as Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Agents, and Responsible AI. Written in clear, simple language, this book requires no prior programming or technical…
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THE TRUSTWORTHY INTELLIGENCE FRAMEWORK FROM DEEP LEARNING TO EMOTIONAL AI AND GOVERNANCE A Unified Theory of Machine Learning, AI Ethics, Affective Computing, Neuroscience, Physics, and AI Law
The Trustworthy Intelligence Framework by Dr. M.K.A. El-Rakhawi (DOI: 10.5281/zenodo.23470399) integrates deep learning, AI governance, affective computing, neuroscience, and AI law via four pillars: (1) Physical Foundations exploring statistical physics of learning, Information Bottleneck, and…
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Machine Learning by Prof. Dandu Srinivas, Mr. S. L. Hemanth Chandra, Mr. Khaza K. B. Vali Bhasha Sk, Mrs. Ashwini Korvipally, Mrs. Muvva Mrudula, and Mrs. Velma Reddy Swetha
Machine Learning has emerged as one of the most transformative domains of modern computing, driving innovation across science, engineering, business, healthcare, education, and social systems. As a core subfield of Artificial Intelligence, machine learning enables computer systems to learn from…
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THE EL-RAKHAWI HYBRID QUANTUM INTELLIGENCE FRAMEWORK (EHQIF) A Unified Architecture for Real-Time Cryogenic Error Correction, QRAM-Bypassed Quantum Machine Learning, Topological Molecular Simulation, and Post-Quantum Cryptographic Security
THE EL-RAKHAWI HYBRID QUANTUM INTELLIGENCE FRAMEWORK (EHQIF) by Dr. M.K.A. El-Rakhawi (DOI: 10.5281/zenodo.23537756) presents a unified architecture addressing four critical quantum computing bottlenecks. Key innovations: 1. **Cryogenic Error Correction**: Custom cryo-CMOS ASIC operating at 4K…
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The Deep Learning Handbook
Based on the course offering CMPS 392 of Spring 2019-2020 in the computer science department, American University of Beirut.
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Deep Learning for Beginners
The aim of the present handbook is to drive the reader toward a deepen knowledge of Deep Learning (DL) methodologies and their functioning. Even if DL has ancient ancestry, only in recent years they have been strongly revalued and consequently applied. However, it is noteworthy that in this field…
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The Market as a Machine
The Market as a Machine: The M² Method introduces a unified framework that treats markets as adaptive, signal-driven systems rather than chaotic arenas of human behavior. Drawing from systems engineering, behavioral economics, and organizational theory, the M² Method provides a structured model for…
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