Bright Academic Experts

Category: Artificial Intelligence

  • ICS451 Natural Language processing

    Everything that has to be done is in the PDF below, follow it in detail and If anything is not clear inform me.

    Requirements: No specific number | Python

  • What is computer

    Computer is an electronic machine

    Requirements: Assembly Language

  • How does understanding the differences between symbolic AI,…

    • Submission Guidelines -Clarity and Coherence Present your work in a clear, logical structure with smooth flow between ideas.
    • Use of AI Concepts Incorporate AI concepts accurately, using at least one or more within a healthcare context.
    • Case Study Analysis Provide a relevant, insightful analysis of the case study with meaningful interpretation.
    • Ethics & Adoption Reflection Reflect thoughtfully on ethics, testing, and adoption challenges related to the topic.
    • Application to Practice Connect the assignment content to real-world healthcare, personal, or professional practice.
    • Originality and Insight Offer original thinking, unique perspectives, or meaningful insights in your response.
    • Writing Quality Write clearly and professionally with proper grammar and readability.
    • Citation and Formatting Follow correct citation guidelines (APA if needed) and meet the required word count

    Submission Instructions –

    • Where to submit: Upload your pdf file or word file
    • Minimum word count: 750+ words (excluding references).
    • Option indication: Start your essay by stating which option number youve chosen.
    • Citations: List references at the end. Embed hyperlinks where possible.
    • Citation style: APA format for all references.

    Note: APA (American Psychological Association) format is a common style for citing sources in research. It uses the author-date system for in-text citations and a reference list at the end of the paper with complete bibliographic information for each source.

    Attached Files (PDF/DOCX): AI in healthcare delivery – prospects and pitfalls.pdf, AI in healthcare ethics trust challenges.pdf, Advancing AI – best practices.pdf, Bias in AI and mitigation strategies.pdf

    Note: Content extraction from these files is restricted, please review them manually.

  • Making Sense of AI: Interpreting and Evaluating Language Int…

    Unit 6 Assignment Directions: Analyze the Role of AI in the Implementation of Robotics and Robotic Process Automation

    Objective

    In this assignment, you will explore and analyze the integration of artificial intelligence (AI) in robotics and robotic process automation (RPA). At the end of this assignment, you will understand the practical applications, benefits, and challenges of using AI in these areas.

    Assignment Activity

    For this assignment, you will complete an activity exploring AI applications. Then you will review the learning resources to see how they apply to the activity. Finally, you will create a report demonstrating the knowledge you have learned.

    1. Review the following documents to explore AI applications in robotics and RPA. Installing and running these tools is not required and the report will be based on your understanding of the documents.

    o : As you read through the document, focus on understanding the features, capabilities, and applications in robotics.

    o : As you read through the document, explore the document provided to understand its features, how it can be used for RPA, and its applications.

    2. Go back to your learning resources within this unit and select at least three resources related RoboDK and TagUI. You will use these resources within your report.

    Submission for Written Component Requirements

    For the written component of this assignment, you will create a four-page paper with four sections using the based upon the following components.

    In your report you need to include:

    • The four sections below
    • At least 3 credible sources from the learning resources
    • No direct quotes from sources
    • Citation of any ideas, conclusions, analyses, definitions, that are not your own, need to be paraphrased using proper citation format (APA)
    • Relevant section headings to delineate each section of the report

    Attached Files (PDF/DOCX): Preview Rubric_ Unit 6 Assignment Rubric – ARIN 310 6383 Introduction to Artificial Intelligence (2262) – UMGC Learning Management System.pdf, Unit 6 Assignment Directions Analyze the Role of AI in the Implementation of Robotics and Robotic Process Automation.docx

    Note: Content extraction from these files is restricted, please review them manually.

  • How does artificial intelligence impact education, jobs, pri…

    Artificial intelligence impacts education, jobs, privacy, and daily life in many ways. In education, AI helps students learn through personalized lessons, online tutors, and smart learning apps. In jobs, it automates repetitive tasks, increases productivity, and creates new careers in technology, though it may also replace some traditional roles. In privacy, AI can collect and analyze large amounts of personal data, which raises concerns about data security and surveillance. In daily life, AI is used in smartphones, social media, virtual assistants, navigation apps, and online shopping, making tasks faster and more convenient. Overall, AI greatly improves efficiency but requires responsible and ethical use.

    Requirements:

  • What is iot

    The iot short form of internet of things her it’s mean things for example smart phone smart watch

    Requirements: Bash

  • What is the abbreviation for artificial intelligence

    Artificial intelligence refers to the machine or software

    Requirements: Rust

  • Artificial Intelligence

    Write a comprehensive and critically analytical essay examining the ethical, technical, and societal implications of artificial intelligence systems trained on large-scale datasets. In your response, evaluate how data collection practices, algorithm design, and model optimization techniques influence issues such as bias, fairness, transparency, and accountability. Discuss the trade-offs between model accuracy and interpretability, and analyze how black-box architecturessuch as deep neural networkscomplicate efforts to audit and regulate AI systems. To what extent can algorithmic bias be traced to historical data inequalities, and how should computer scientists address these embedded distortions without compromising system performance?

    Requirements: na | C++

  • sjhflsfskfjs;s

    Dataset

    Use a public dataset from the approved list (Chicago Crime dataset selected)

    Assignment Requirements

    Q1: Problem Identification & Data Collection

    In the notebook:

    1. Clearly define a real-world problem suitable for EDA and ML
    2. Describe the dataset and source (link included)
    3. Identify:
      • Target variable
      • Feature variables
    4. Show dataset shape and preview

    Q2: Exploratory Data Analysis (Manual EDA)

    Using the SAME dataset:

    1. Comment on data quality (missing values, duplicates, data types)
    2. Descriptive statistics and interpretation
    3. Identify and remove outliers
    4. Check feature distributions
    5. Correlation analysis
    6. Clearly list:
      • Dependent variable
      • Independent variables
    7. Drop unnecessary independent features
    8. Check skewness using p-value
    9. Apply:
      • Standardization
      • Normalization
    10. Save:
    • Cleaned dataset
    • Standardized dataset
    • Normalized dataset

    Q3: Automated EDA (Sweetviz)

    Using the SAME dataset in the SAME notebook:

    1. Install and use Sweetviz (must work in Google Colab)
    2. Generate:
      • analyze() report for raw dataset
      • analyze() report for cleaned dataset
      • compare() report (raw vs cleaned)
      • compare_intra() report (e.g., class-based comparison)
    3. Display and save Sweetviz HTML reports
    4. Provide written explanations comparing:
      • Raw vs cleaned dataset
      • Insights from analyze, compare, compare_intra
    5. Discuss how dataset quality affects Linear Regression performance (conceptual explanation)

    Submission Expectations

    • ONE clean, well-structured .ipynb notebook
    • Clear markdown explanations (student level)
    • Code must run successfully in Google Colab
    • Proper handling of Sweetviz + NumPy compatibility
    • No plagiarism

    What I Expect From You

    Complete end-to-end solution
    Same dataset across Q1, Q2, Q3
    Ready to submit with no errors

    Requirements: as long | Python

  • CRJ101 strayer week 4 Modern Day policing society and the fu…

    BIU

    Requirements: