Statistical Data in AI Class 10 Questions and Answers – The CBSE has changed the syllabus of Std. X. The Questions and Answers are made based on the new syllabus and based on the CBSE textbook, Sample paper and Board Paper. All the important Information are taken from the Artificial Intelligence Class X Textbook Based on CBSE Board Pattern.
Statistical Data in AI Class 10 Questions and Answers
1. Name any two-cloud based No-code AI tools?
Answer: The two-cloud based No-code AI tools are Azure Machine Learning and Google Cloud AutoML.
2. How accessible are no-code AI tools for non-technical users?
Answer: No-Code AI makes AI more accessible to the general public. Non-technical people such as doctors, architects, and musicians may quickly construct accurate AI models with no coding involved. This AI tools have user-friendly interface and prebuilt templates which helps to design the AI application. Thus, No-Code AI can empower individuals and organizations across various industries and skill levels to harness the potential of artificial intelligence for their specific needs.
3. What types of tasks can be accomplished with no-code AI tools?
Answer: The tasks that can be accomplished with no-code AI tools are text analysis, predictive analytics, and image recognition.
4. Can no-code AI tools be used for advanced projects? Justify.
Answer: Yes, No-code AI tools can used in advanced AI project with some limitation. No-code AI is basically used from faster development and deployment for non-technical users. No-code AI tolls have a pre trained models for the advanced project. No-Code AI is easy to use – even middle school students can create AI using No-Code tools. It has visual & drag-and-drop features, anyone can see what they are building in real-time
5. Do no-code AI tools require prior programming knowledge? Justify.
Answer: In No-Code AI, we can drag and drop, these models in few seconds. No coding knowledge is required to implement complex ML algorithms. Drag and drop feature of a No-Code tool makes it easier.
6. What are the benefits of using No-code AI tools?
Answer: The benefits of using no-code AI tools are –
- Accessibility – No-Code empowers non-technical makers to create websites and apps and also employ machine learning to solve business problems without programming.
- Fast – The speed at which no-code platforms enable you to build bespoke business solutions is significantly faster than traditional development.
- Easy to use – It includes drag-and-drop features that enable one to create an application with ease without any coding knowledge.
- Innovation – Since business users can now build solutions for their unique problems themselves, it creates a culture of innovation.
7. What are the challenges faced in using the No-code AI tools?
Answer: The challenges faced using the no-code AI tools are –
- Lack of Flexibility – Drag-and-drop elements can be very convenient. On the other hand, you are limited to those fixed elements.
- Automation Bias – Automation bias is the tendency for humans to favor suggestions from automated decision-making systems and to ignore contradictory information made without automation, even if it is correct.
- Security Issues – No code platforms do not essentially force you to think of security first or even evaluate security best practices. Therefore, these applications are only best suited for companies that don’t deal with sensitive data.
7. Differentiate low code and No-code AI tools with examples.
Answer: The difference between Low-code and No-code AI tools are –
| Low-code | No-code |
|---|---|
| The person with some programming knowledge can build the application | Anyone can build applications |
| If any programming error is there, then it can take some time | The application can be developed quickly |
| Developing costs will be high compared to the No-Code | Developing costs less |
| Flexible for adding more features | Limited customization and Limited to predefined templates only |
| Example: IBM Watson Studio, DataRobot | Example: Google AutoML, Microsoft AI Builder |
8. As the CEO of a small e-commerce startup, you’re eager to leverage artificial intelligence to enhance your platform’s user experience and drive sales. However, your team lacks the technical expertise to develop and deploy AI-powered solutions. What would be your recommendations for the CEO?
Answer: The company can use no-code AI tools which can helps to create AI based platform for user experience. Some of the strategic approaches to be implemented are
- Find the key areas where AI can add values like chatbots for customer support or AI powered search etc.
- Use No-code AI tools like Azure Machine Learning application or Google Cloud AutoML.
- Invest in training for the employee, which can help the company for creating more flexible app.
9. Samarth attended a seminar on Artificial Intelligence and has now been asked to write a report on his learnings from the seminar. Being a non-technical person, he understood that the AI enabled machine uses data of different formats in many of the daily based applications but failed to sync it with the right terminologies and express the details. Help Samarth define Artificial Intelligence, list the three domains of AI and the data that is used in these domains.
Answer: Artificial intelligence (AI) is the ability of machines to do cognitive tasks such as thinking, perceiving, learning, problem-solving, and decision-making. ML and DL is a subset of Artificial Intelligence. The three domain of AI is –
- Statistical Data – is a domain of AI related to data systems and processes, in which the system collects numerous data, maintains data sets and derives meaning/sense out of them.
- Computer Vision – is an AI domain works with videos and images enabling machines to interpret and understand visual information and afterwards predict some decisions about it.
- Natural Language Processing – is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language.
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