PDF Notes: examen 2 recherhce

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    What is l'apprentissage généralisé?

    Recognizes patterns in data.

    What defines le raisonnement?

    Involves deductions and predictions based on cause and effect.

    What is la résolution de problèmes?

    Identifies solutions to challenges.

    What is la perception?

    Analyzes and interacts with the environment.

    What is la compréhension du langage?

    Involves understanding and using language.

    How does l'IA restreinte differ from l'IA forte?

    L'IA restreinte performs specific tasks, while l'IA forte mimics human capabilities.

    What is l'apprentissage automatique?

    Enables computers to learn from data without explicit programming.

    What is l'apprentissage profond?

    Uses artificial neural networks to process and analyze data.

    What is l'IA générative?

    Creates new content in response to prompts.

    What are the three tasks of l'IA générative?

    Create original content, enhance existing content, transform content.

    What are the characteristics of big data?

    Includes volume, velocity, variety, and veracity.

    What is a grand modèle de langage?

    Statistical model predicting the next element in a sequence.

    What are hallucinations in AI?

    Generate convincing but false content based on training data.

    What are the limits of l'IA générative?

    Relies on public data and lacks access to private information.

    How can one maximize success with AI?

    Evaluate responses critically and diversify sources.

    What are the ethical issues in AI research?

    Include data sensitivity, participant consent, and anonymity.

    What distinguishes statistiques descriptives from statistiques inférentielles?

    Descriptives summarize data, while inférentielles draw conclusions about populations.

    What are the four levels of measurement?

    Nominal, ordinal, interval, and ratio.

    What is the mode?

    The most frequent value in a dataset.

    What is the median?

    The middle value in an ordered dataset.

    What is the mean?

    The arithmetic average of a dataset.

    What is the significance of a p-value?

    Indicates statistical significance when less than alpha.

    What are type I and type II errors?

    Type I rejects a true null hypothesis; Type II fails to reject a false null.

    What is the difference between statistical and clinical significance?

    Statistical significance may not imply clinical relevance.

    What distinguishes parametric from non-parametric tests?

    Parametric tests assume data follows a specific distribution.

    What does the coefficient (r) indicate?

    Measures the strength of correlation between variables.

    What is the process of qualitative analysis?

    Involves data reduction, display, and conclusion verification.

    What is initial coding in qualitative research?

    Involves descriptive, in vivo, and process coding.