Artificial Intelligence (AI) Step-by-Step: AI Fundamentals Guide for Students, Newbies & the Curious
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
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.
- 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.
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Categories:
- Computers & Technology
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Data Science
- Business & Money
- Robotics
- Programming
- Science & Math
General AI:
- artificial intelligence
- AI for beginners
- AI guide
- understanding AI
- AI applications
- future of AI
- AI ethics
- machine learning
- deep learning
- neural networks
- natural language processing (NLP)
- computer vision
- algorithms
- data science
- Python
- TensorFlow
- PyTorch
- scikit-learn
- AI in healthcare
- AI in business
- AI in finance
- AI in marketing
- AI in e-commerce
- AI in robotics
- self-driving cars
- chatbots
- predictive analytics
- for beginners
- for students
- for entrepreneurs
- for business leaders
- step-by-step guide
- practical guide
- building AI models
- monetizing AI
- AI startups
- AI consulting
- future of work
- career in AI