Unlocking Your Future in AI Class 11 NCERT Solutions – The CBSE has updated the syllabus for St. XI (Code 843). The NCERT Solutions are made based on the updated CBSE textbook. All the important information is taken from the Artificial Intelligence Class XI Textbook Based on the CBSE Board Pattern.
Unlocking Your Future in AI Class 11 NCERT Solutions
A. Multiple Choice Questions
1. Which of the following is a job role in AI related to the automobile industry?
a. Robotics Engineer
b. Virtual Nurse Assistant
c. Sales Forecasting Analyst
d. Autonomous Vehicle Engineer
2. Identify the important soft skill required for AI professionals.
a. Expertise in neural networks
b. Effective communication
c. Proficiency in Python
d. Knowledge of big data technologies
3. Which industry uses AI for personalized travel recommendations?
a. Tourism
b. Banking
c. Healthcare
d. Geospatial
4. What is the purpose of the website “Data Science Central”?
a. Providing a community experience for data practitioners
b. Offering free video-based courses on AI
c. Analyzing market trends using AI algorithms
d. Providing insight into emerging trends in big data
5. Which industry uses AI for market analysis and fraud detection?
a. Finance
b. Media
c. Textile
d. Design
B. Short answer questions:
1. Name some common job roles in the field of artificial intelligence (AI).
Answer: The most common job roles in the field of AI are-
- Data Scientist: Data scientists leverage machine learning and predictive analytics to extract insights from large datasets, to take proper business decisions.
- Software Engineer: AI software engineers build and maintain software products for AI applications, staying updated on the latest artificial intelligence technologies.
2. What are some essential technical skills required for a successful career in AI, and why are they important?
Answer: A successful career in artificial intelligence requires a diverse set of skills that encompass both technical expertise and soft skills.
- Expertise in neural networks, machine learning, and deep learning is essential for developing advanced AI applications.
- Knowledge of big data technologies and techniques for handling and analysing large datasets is crucial in AI applications.
- Understanding of frameworks and libraries like TensorFlow, SciPy, and NumPy is vital for building and deploying AI solutions.
- Familiarity with programming languages such as Python, R, Java, and C++ is necessary for developing AI models and algorithms.
- Proficiency in linear algebra, probability, statistics, and signal processing is essential for understanding the mathematical principles underlying AI algorithms.
3. What is the role of AI professionals in healthcare, finance, and retail industry?
Answer: The role of AI professionals in healthcare, finance and retail industry are-
Healthcare: Medical imaging analysis, personalized healthcare, and drug discovery.
- Medical Imaging Analyst: Analyzes medical images using AI algorithms.
- Virtual Nurse Assistant: Provides personalized healthcare recommendations.
- Drug Discovery Researcher: Identifies potential drug candidates using AI.
Finance: Market analysis, fraud detection, risk management, and investment recommendations.
- Quantitative Analyst: Analyzes market trends using AI algorithms.
- Fraud Detection Analyst: Identifies fraudulent activities using AI models.
- Financial Advisor: Offers personalized investment recommendations using AI driven analytics.
Retail industry: Optimizing inventory, sales forecasting, and enhancing customer experience.
- Inventory Management Specialist: Optimizes inventory levels using AI algorithms.
- Sales Forecasting Analyst: Forecasts sales using AI models.
- Customer Experience Designer: Enhances customer experience using AI driven insights.
4. List some popular AI tools and programming languages used by AI professionals.
Answer: Some of the popular programming language used by AI prfessionals are
- Python: A versatile programming language with pre-made libraries for advanced computing and scientific computation.
- R: A programming language for data collection, organization, and analysis, particularly useful for machine learning and statistical functions.
5. What soft skills do AI professionals need, and how do they help them succeed?
Answer: The following soft skills AI professional required –
- Effective communication skills are crucial for conveying complex technical concepts to non-technical stakeholders and collaborating with multidisciplinary teams.
- Strong teamwork and collaboration abilities are essential for working effectively in cross-functional teams to develop AI products and solutions.
- Problem-solving, decision-making, and analytical thinking skills are critical for identifying and addressing challenges in AI projects.
- Time management and organizational skills are essential for managing multiple projects and meeting deadlines.
- Business intelligence and critical thinking skills are valuable for understanding business requirements and translating them into AI solutions that deliver tangible value.
6. Why is continuous learning crucial in AI, and how do professionals stay updated with the latest advancements?
Answer: Continuous learning is important in AI. The field of AI is rapidly increasing with new algorithms and technology; continuous learning ensures the professionals stay up-to-date with the latest advancements. The ongoing learning allows the professional to implement new methods in the AI model for accuracy and reliability. Continuous learning helps AI professionals to identify the biases in their models and ensures that AI applications are fair, ethical, and inclusive.
C. Long answer questions.
1. How does the global demand for AI professionals affect career opportunities in the field?
Answer: The global demand for AI talent is skyrocketing, driven by the rapid pace of technological advancements and the increasing integration of AI solutions into diverse sectors. From healthcare
and finance to transportation and retail, organizations are harnessing the power of AI to streamline operations, optimize processes, and deliver enhanced services to consumers. One of the most significant advantages of pursuing a career in AI is the sheer breadth of opportunities it offers. Whether you are passionate about machine learning, natural language processing, robotics, or data analytics, there is a niche within the AI field suited to your interests and skills.
2. What are some common job roles in the field of AI, and how do they contribute to the development and implementation of AI solutions across various industries?
Answer: The most common job roles in the field of AI are –
a. Machine Learning Engineer: Machine learning engineers bridge software engineering and data science, utilizing big data tools and programming frameworks to develop scalable data science models capable of handling vast volumes of real time data. Strong mathematical skills, experience in machine learning and deep learning, and proficiency in programming languages like Java, Python, and Scala are essential for success in this role.
b. Data Scientist: Data scientists leverage machine learning and predictive analytics to extract insights from large datasets, to take proper business decisions. Proficiency in big data platforms like Hadoop, Pig, and Spark, fluency in programming languages such as SQL, Python, and Scala, and a solid understanding of descriptive and inferential statistics are the key requirements for this role.
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