
6 On Page SEO Techniques That Still Work in 2024
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- Q1What is a key difference between AI and ML?AI involves only robotics, while ML is about data analysis.ML is the broader concept, while AI is a subset of ML.AI and ML are interchangeable terms with no differences.AI is the broader concept, while ML is a subset of AI focused on learning from data.40s
- Q2Which industry is significantly impacted by AI for predictive analytics?EducationFashionHealthcareAgriculture40s
- Q3What is a primary concern when handling data for AI projects?Data colorData ownershipData qualityData physical form40s
- Q4What type of learning involves labeled data?Unlabeled learningReinforcement learningSupervised learningUnsupervised learning40s
- Q5Which algorithm is commonly used for classification tasks in ML?Genetic AlgorithmK-means ClusteringRandom WalkDecision Tree40s
- Q6What is overfitting in ML?When a model ignores training dataWhen a model performs equally well on all dataWhen a model performs well on training data but poorly on new dataWhen a model performs poorly on both training and new data40s
- Q7Why is cross-validation important?To increase the training speedTo reduce the number of data pointsTo ensure the model generalizes well to unseen dataTo simplify the model complexity40s
- Q8What is a common metric for evaluating binary classification models?ROC CurveMean Squared ErrorF1 ScoreLog-Loss40s
- Q9Which technique helps in reducing bias in AI models?Increasing the model depthRandom initializationUsing more complex modelsFairness-aware algorithms40s
- Q10What emerging trend in AI could drastically change job markets?Data EntryTraditional ProgrammingAutomationManual Processing40s