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Understanding Artificial Intelligence: A Complete Guide to AI, Machine Learning, and Deep Learning
Understanding Artificial Intelligence
This guide introduces the concepts of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), detailing their evolution, techniques, and real-world applications.
AI simulates human intelligence in tasks like decision-making and speech recognition.ML, a subset of AI, learns from data through methods like supervised, unsupervised, and reinforcement learning.DL uses neural networks to process large datasets for tasks like image and speech recognition.Applications include healthcare diagnostics, financial fraud detection, and retail personalization. The book also addresses ethical issues like AI bias and emphasizes the need for responsible AI development.
For learners, it offers a roadmap covering math fundamentals, programming, and advanced tools like TensorFlow. Finally, it explores AI's transformative future and its role in shaping industries and society.
This guide introduces the concepts of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), detailing their evolution, techniques, and real-world applications.
AI simulates human intelligence in tasks like decision-making and speech recognition.ML, a subset of AI, learns from data through methods like supervised, unsupervised, and reinforcement learning.DL uses neural networks to process large datasets for tasks like image and speech recognition.Applications include healthcare diagnostics, financial fraud detection, and retail personalization. The book also addresses ethical issues like AI bias and emphasizes the need for responsible AI development.
For learners, it offers a roadmap covering math fundamentals, programming, and advanced tools like TensorFlow. Finally, it explores AI's transformative future and its role in shaping industries and society.
53 pages, Kindle Edition
Published November 24, 2024
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