Artificial Intelligence (AI) Step-by-Step: AI Fundamentals Guide for Students, Newbies & the Curious (Step By Step Subject Guides) by Julian Nash
English | April 18, 2024 | ISBN: N/A | ASIN: B0D2564PL9 | PDF | 2.52 Mb
Curious about Artificial Intelligence but don't know where to start?
"Artificial Intelligence (AI) Step by Step" is your comprehensive guide to understanding, building, and even monetizing AI.
This book is perfect for:Students and newbies: Learn AI fundamentals, key terms, and how AI actually works.The curious minds: Explore fascinating applications of AI in healthcare, business, finance, and more.Entrepreneurs and business leaders: Discover how to leverage AI for automation, customer service, marketing, and e-commerce.Aspiring AI developers: Build your own AI models from scratch with practical, step-by-step guidance.Inside, you'll discover:The different types of AI: From Narrow AI to the potential of Artificial General Intelligence (AGI).Machine Learning and Deep Learning: Demystifying algorithms, neural networks, and how machines learn.Natural Language Processing (NLP) and Computer Vision: Explore exciting applications like chatbots, translation services, and image recognition.AI in various industries: Uncover the impact of AI in healthcare, business, finance, and more.Building your first AI model: Practical guide with tools and libraries like TensorFlow and Scikit-learn.Monetizing AI: Strategies for developing AI products, starting an AI consultancy, and leveraging AI in e-commerce and marketing.Ethical considerations and the future of AI: Exploring bias, privacy concerns, and the evolving landscape of AI's global impact.Empower yourself with the knowledge and skills to thrive in an AI-driven future.
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Categories:Computers & TechnologyArtificial IntelligenceMachine LearningDeep LearningData ScienceBusiness & MoneyRoboticsProgrammingScience & MathFocus:
General AI:artificial intelligenceAI for beginnersAI guideunderstanding AIAI applicationsfuture of AIAI ethicsTechnical Focus:machine learningdeep learningneural networksnatural language processing (NLP)computer visionalgorithmsdata sciencePythonTensorFlowPyTorchscikit-learnApplications:AI in healthcareAI in businessAI in financeAI in marketingAI in e-commerceAI in roboticsself-driving carschatbotspredictive analyticsTarget Audience:for beginnersfor studentsfor entrepreneursfor business leadersAdditional Focuses:step-by-step guidepractical guidebuilding AI modelsmonetizing AIAI startupsAI consultingfuture of workcareer in AI
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