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Vanita Borkar
Mastering AI: From Machine Learning to Prompt Engineering
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7582546Mastering AI: From Machine Learning to Prompt Engineeringhttps://www.gandhi.com.mx/mastering-ai--from-machine-learning-to-prompt-engineering-1230009113824/phttps://gandhi.vtexassets.com/arquivos/ids/7207982/image.jpg?v=6388568700894700006161MXNGandhiInStock/Ebooks/<p>Introduction</p><p>This chapter lays the foundation by introducing the concepts of Artificial Intelligence (AI) and Machine Learning (ML). It explains the evolution of AI and its increasing importance in various applications, setting the stage for a deeper exploration of machine learning techniques and prompt engineering methods.</p><p>Detailed Explanation & Examples</p><p>Machine learning, as a subset of AI, involves methods that allow computers to learn from data without being explicitly programmed (Wikipedia contributors, 2023a). Understanding these foundational ideas is essential for mastering AI. Examples include simple regression models and classification tasks that are ubiquitous in many applications.</p><p>Case Studies and Real-Time Applications</p><p>For instance, in healthcare, machine learning models have been applied successfully to improve MRI scan accuracy by identifying specific body parts (Wikipedia contributors, 2023b). Real-time data processing can be seen in social media platforms like Twitter, where algorithms prioritize the ranking of tweets to improve user engagement (Wikipedia contributors, 2023c).</p>...7195561Mastering AI: From Machine Learning to Prompt Engineering6161https://www.gandhi.com.mx/mastering-ai--from-machine-learning-to-prompt-engineering-1230009113824/phttps://gandhi.vtexassets.com/arquivos/ids/7207982/image.jpg?v=638856870089470000InStockMXN99999DIEbook20251230009113824_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_<p>Introduction</p><p>This chapter lays the foundation by introducing the concepts of Artificial Intelligence (AI) and Machine Learning (ML). It explains the evolution of AI and its increasing importance in various applications, setting the stage for a deeper exploration of machine learning techniques and prompt engineering methods.</p><p>Detailed Explanation & Examples</p><p>Machine learning, as a subset of AI, involves methods that allow computers to learn from data without being explicitly programmed (Wikipedia contributors, 2023a). Understanding these foundational ideas is essential for mastering AI. Examples include simple regression models and classification tasks that are ubiquitous in many applications.</p><p>Case Studies and Real-Time Applications</p><p>For instance, in healthcare, machine learning models have been applied successfully to improve MRI scan accuracy by identifying specific body parts (Wikipedia contributors, 2023b). Real-time data processing can be seen in social media platforms like Twitter, where algorithms prioritize the ranking of tweets to improve user engagement (Wikipedia contributors, 2023c).</p>...1230009113824_Vanitalibro_electonico_1230009113824_1230009113824Vanita BorkarInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/45d9c799-6ae3-4bb6-8549-4c33ef31f711-epub-610b9eb7-0d46-42cd-8db7-71a73a7959b2.epub2025-06-14T00:00:00+00:00Vanita