![Toward Artificial General Intelligence](https://img.perlego.com/book-covers/4242464/9783111324166_300_450.webp)
Toward Artificial General Intelligence
Deep Learning, Neural Networks, Generative AI
Victor Hugo C. de Albuquerque, Pethuru Raj, Satya Prakash Yadav, Victor Hugo C. de Albuquerque, Pethuru Raj, Satya Prakash Yadav
- 423 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Toward Artificial General Intelligence
Deep Learning, Neural Networks, Generative AI
Victor Hugo C. de Albuquerque, Pethuru Raj, Satya Prakash Yadav, Victor Hugo C. de Albuquerque, Pethuru Raj, Satya Prakash Yadav
About This Book
Artifi cial Intelligence (AI) has been an exciting fi eld of study and research in educational institutions and research labs across the globe. Technology giants and IT organizations invest heavily on AI technologies and tools with the aim of preciselyautomating a variety of simple as well as complicated business operations acrossindustry verticals. This book covers the latest trends and transitions happening in thefuturistic AI domain. The book also focuses on machine and deep learning (ML/DL)algorithms, which are, undoubtedly, the mainstream implementation technologies ofstate-of-the-art AI systems and services. Also, there are chapters on computer vision(CV) and natural language processing (NLP), the primary use cases and applicationsof AI. The book has well-written chapters for demystifying AI model engineeringmethods. Further on, our esteemed readers can fi nd details on AI model evaluation, optimization, deployment and observability. Finally, the book deals and describesgenerative AI, the latest buzzword in the IT industry.
The book
presents the recent ground-breaking changes taking place in the aspects of AI model building, hosting, running and maintaining in cloud environments,
articulates and accentuates the most recent developments taking place in the
domain of Artifi cial Intelligence,
covers the noteworthy innovations and disruptions towards Generative Artifi cial
Intelligence (Generative AI),
explains the breakthrough innovations and disruptions towards Artifi cial General
Intelligence (AGI)
and delineates an engaging discussion of Natural Language Processing, Neuromorphic Systems and Biometrics.
Frequently asked questions
Information
Table of contents
- Title Page
- Copyright
- Contents
- List of authors
- About the editors
- 1âIntroduction to artificial intelligence
- 2âAI technologies, tools, and industrial use cases
- 3âClassification and regression algorithms
- 4âClustering and association algorithm
- 5âReinforcement learning
- 6âEvaluation of AI model performance
- 7âMethods of cross-validation and bootstrapping
- 8âMeta-learning through ensemble approach: bagging, boosting, and random forest strategies
- 9âAI: issues, concerns, and ethical considerations
- 10âThe future with AI and AI in action
- 11âA survey of AI in industry: from basic concepts to industrial and business applications
- 12âThe intelligent implications of artificial intelligence-driven decision-making in business management
- 13âAn innovative analysis of AI-powered automation techniques for business management
- 14âThe smart and secured AI-powered strategies for optimizing processes in multi-vendor business applications
- 15âUtilizing AI technologies to enhance e-commerce business operations
- 16âExploring the potential of artificial intelligence in wireless sensor networks
- 17âExploring artificial intelligence techniques for enhanced sentiment analysis through data mining
- 18âExploring the potential of artificial intelligence for automated sentiment analysis and opinion mining
- 19âA novel blockchain-based artificial intelligence application for healthcare automation
- 20âEnhancing industrial efficiency with AI-enabled blockchain-based solutions
- Index