11,49 €
Lexicon of Artificial Intelligence Terminology. Lexicon of Tech and Business, #11
Par :Formats :
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub est :
- Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
- Compatible avec une lecture sur liseuses Vivlio
- Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
, qui est-ce ?Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement
Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
C'est si simple ! Lisez votre ebook avec l'app Vivlio sur votre tablette, mobile ou ordinateur :
- FormatePub
- ISBN8230517726
- EAN9798230517726
- Date de parution01/04/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurIndependently Published
Résumé
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, 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.
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.
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, 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.
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.
A propos de Mustafa Al-Dori
