Artificial Intelligence A Modern Approach For Beginners: Unlocking the Potential of AI, A Comprehensive Guide to Artificial Intelligence and Its Applications
Artificial Intelligence A Modern Approach For Beginners
About This The book demystifies the concept of Artificial Intelligence (AI) in a friendly manner. Author Covered Following Topics in This
General artificial intelligence versus narrow artificial intelligence. Explain Deep Learning. The threats of narrow AI executions. Machine learning complexities in 2021. AI in the Mars Rovers. Problem resolution using AI. Explain and elucidate NLP. Define social intelligence. The cybernetics perspective to AI. Brain duplication is a component of AI projects. AI approaches and the reasoning art. Elaborate on inductive logic programming. Big database management using AI. Knowledge Depiction in AI. The future of programming- Prolog. Vision system application of AI. The eligibility issues in the AI system. Planning from an AI approach. Discuss the future of AI (Artificial Intelligence) and Machine Learning in business Application of Reinforcement learning Discuss about Banking bot and Transaction bot What are the major challenges in AI? Recommender Definition and application Artificial intelligence and deep SPECT and PET imaging Deep learning-enabled medical computer vision Popular AI experiments that failed. Training a computer how to paint. The recent machine learning algorithm defined. AI robots are going to dominate the world- Explain. Predictive sales and how AI intelligence support. Lead production applying artificial intelligence. Artificial intelligence and data science. Movement planning in artificial intelligence. Will the robots replace our jobs? Tesla is a robot car- Explain the concept. Automatic weapon system. How does artificial intelligence algorithm breaches privacy? Wrong AI theories and the risk they pose. AI communication problems with the man. Recognizing online spam making use of AI. Brain duplicate techniques of AI. Image identification algorithm of AI. Computational intelligence and soft computing. Social intelligence in artificial intelligence. AI in customer service operations. Limitations of AI machines. The automated machine learns technology. AI functions in robotics. HiDeNN (Hierarchical Deep Learning Neural Network): A computational science and engineering in AI architecture Experimental quantum speed-up in reinforcement learning agents Potential-based multi-objective reinforcement learning approaches to low-impact agents for AI safety Regional Use of AI and robotics Third millennium life-saving smart cyberspace driven by AI and robotics Artificial intelligence and Machine Learning in haematology Advantages and disadvantages of deep learning-enabled medical computer vision Establishing an easy Chabot. AI functions in medicines. Fraud detection through AI. Deep learning. Robotics. Industrial robots. Explain generative theories. The Monte Carlo techniques. Discuss amortized inference. How does AI view the world?
The book is useful to any beginner, Teen or adult, who desires to build basic knowledge in the general concept of Artificial Intelligence. So Scroll-up And Grab this Book to Start Your AI Journey