WGU D429 QUESTIONS & ANSWERS SOLVED
100% CORRECT!!
Types of AI Systems: Answer - Rule-Based Systems
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Hybrid AI Systems
Rule-Based Systems: Answer - Earliest forms of AI for decision-making
operate based on a set of predefined rules
Real-World Applications of Rule-Based Systems: Answer - Expert Systems:
Used in medical diagnosis, financial risk assessment, and equipment
troubleshooting by applying expert knowledge encoded as rules.
Automated Control Systems: In manufacturing and process control, rules
trigger specific adjustments based on sensor data.
Machine Learning (ML): Answer - algorithms enable AI systems to learn from
data without being explicitly programmed, identify patterns, make predictions,
and improve their performance over time
Real-World Applications of Machine Learning (ML): Answer - Supervised
Learning: Learns from labeled data - fraud detection and credit risk assessment
Unsupervised Learning: Finds patterns in unlabeled data -customer
segmentation and anomaly detection
, Reinforcement Learning: Learns through trial and error - robotics control,
autonomous driving, and game playing
Predictive Analytics: Uses historical data and statistical algorithms to forecast
future outcomes - inventory management, demand forecasting, and sales
predictions
Natural Language Processing (NLP) Answer - Focuses on enabling computers to
understand, interpret, and generate human language
Real-World Applications of Natural Language Processing (NLP): Answer -
Chatbots and Virtual Assistants: customer service, information, and guides
Sentiment Analysis: Analyzes text data - decisions about product development
and marketing strategies
Information Extraction: Automatically pulls relevant information from text
documents - decision-making for legal discovery and business intelligence
Computer Vision Answer - Enables computers to "see" and interpret visual
information from images and videos
Real-World Applications of Computer Vision: Answer - Autonomous Vehicles:
Processes visual data - driving decisions
Quality Control - manufacturing
Medical Imaging Analysis - diagnosing diseases by identifying patterns in
medical scans
Hybrid AI Systems Answer - Combine different AI techniques to leverage their
individual strengths and address complex decision-making tasks. For example, a
system might use NLP to understand a user's query and then a rule-based
system or ML model to provide a response or take action
100% CORRECT!!
Types of AI Systems: Answer - Rule-Based Systems
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Hybrid AI Systems
Rule-Based Systems: Answer - Earliest forms of AI for decision-making
operate based on a set of predefined rules
Real-World Applications of Rule-Based Systems: Answer - Expert Systems:
Used in medical diagnosis, financial risk assessment, and equipment
troubleshooting by applying expert knowledge encoded as rules.
Automated Control Systems: In manufacturing and process control, rules
trigger specific adjustments based on sensor data.
Machine Learning (ML): Answer - algorithms enable AI systems to learn from
data without being explicitly programmed, identify patterns, make predictions,
and improve their performance over time
Real-World Applications of Machine Learning (ML): Answer - Supervised
Learning: Learns from labeled data - fraud detection and credit risk assessment
Unsupervised Learning: Finds patterns in unlabeled data -customer
segmentation and anomaly detection
, Reinforcement Learning: Learns through trial and error - robotics control,
autonomous driving, and game playing
Predictive Analytics: Uses historical data and statistical algorithms to forecast
future outcomes - inventory management, demand forecasting, and sales
predictions
Natural Language Processing (NLP) Answer - Focuses on enabling computers to
understand, interpret, and generate human language
Real-World Applications of Natural Language Processing (NLP): Answer -
Chatbots and Virtual Assistants: customer service, information, and guides
Sentiment Analysis: Analyzes text data - decisions about product development
and marketing strategies
Information Extraction: Automatically pulls relevant information from text
documents - decision-making for legal discovery and business intelligence
Computer Vision Answer - Enables computers to "see" and interpret visual
information from images and videos
Real-World Applications of Computer Vision: Answer - Autonomous Vehicles:
Processes visual data - driving decisions
Quality Control - manufacturing
Medical Imaging Analysis - diagnosing diseases by identifying patterns in
medical scans
Hybrid AI Systems Answer - Combine different AI techniques to leverage their
individual strengths and address complex decision-making tasks. For example, a
system might use NLP to understand a user's query and then a rule-based
system or ML model to provide a response or take action
