Lexicon of Artificial Intelligence Terminology (Lexicon of Tech and Business, #11) (eBook, ePUB)
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Master the Language of AI with Lexicon of Artificial Intelligence TerminologyIn the rapidly evolving world of artificial intelligence, speaking the technical language fluently is no longer optional - it's a professional necessity. The Lexicon of Artificial Intelligence Terminology gives you instant access to 400 essential AI terms that every tech professional, student, and enthusiast needs to know.This comprehensive reference guide covers the complete AI landscape:Core Technologies:Machine Learning (Supervised, Unsupervised, Reinforcement)Deep Learning (Neural Networks, CNNs, RNNs, Transformer...
Master the Language of AI with Lexicon of Artificial Intelligence Terminology
In the rapidly evolving world of artificial intelligence, speaking the technical language fluently is no longer optional - it's a professional necessity. The Lexicon of Artificial Intelligence Terminology gives you instant access to 400 essential AI terms that every tech professional, student, and enthusiast needs to know.
This comprehensive reference guide covers the complete AI landscape:
Core Technologies:
Technical Foundations:
Emerging Trends:
Industry Applications:
Each of the 400 alphabetically-organized terms includes:
Perfect For:
Special Features:
Part of the acclaimed Lexicon of Tech and Business series - trusted by professionals worldwide for clear, authoritative terminology references. Whether you're debugging a neural network or explaining AI concepts to stakeholders, this book ensures you'll always use the right terms correctly.
In the rapidly evolving world of artificial intelligence, speaking the technical language fluently is no longer optional - it's a professional necessity. The Lexicon of Artificial Intelligence Terminology gives you instant access to 400 essential AI terms that every tech professional, student, and enthusiast needs to know.
This comprehensive reference guide covers the complete AI landscape:
Core Technologies:
- Machine Learning (Supervised, Unsupervised, Reinforcement)
- Deep Learning (Neural Networks, CNNs, RNNs, Transformers)
- Natural Language Processing (BERT, GPT, Word Embeddings)
- Computer Vision and Image Recognition
Technical Foundations:
- Key algorithms (Random Forest, XGBoost, SVM)
- Model training concepts (Backpropagation, Gradient Descent)
- Evaluation metrics (Precision, Recall, F1 Score)
- Data preprocessing techniques
Emerging Trends:
- Generative AI and GANs
- Explainable AI and AI Ethics
- Federated Learning
- Quantum Machine Learning
Industry Applications:
- AI in Healthcare (Medical Imaging, Drug Discovery)
- AI in Finance (Algorithmic Trading, Fraud Detection)
- AI in Manufacturing (Predictive Maintenance)
- Smart Cities and IoT implementations
Each of the 400 alphabetically-organized terms includes:
- Precise, technical definition
- Clear explanation of significance
- Practical application examples
- Related concepts for deeper understanding
Perfect For:
- AI/ML engineers and data scientists
- Software developers implementing AI solutions
- Tech entrepreneurs building AI products
- Computer science students and researchers
- Business leaders adopting AI technologies
- Anyone curious about artificial intelligence
Special Features:
- Comparison of similar terms and concepts
- Real-world implementation examples
- Common pitfalls and best practices
- Quick-reference formatting
Part of the acclaimed Lexicon of Tech and Business series - trusted by professionals worldwide for clear, authoritative terminology references. Whether you're debugging a neural network or explaining AI concepts to stakeholders, this book ensures you'll always use the right terms correctly.
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