AI For Everyone Answers Week 3 | Coursera

DeepLearning.AI: AI For Everyone Week 3 Quiz Answer

About the course:

AI for Everyone is an insightful and comprehensive online course developed by DeepLearning.AI in collaboration with Coursera. This course provides learners with a holistic understanding of artificial intelligence (AI) and its impact on various industries. Designed for individuals with non-technical backgrounds, this course equips learners with the knowledge necessary to navigate the AI landscape effectively.

Throughout the course, learners will engage with engaging video lectures, hands-on exercises, and interactive quizzes to develop a solid foundation in AI concepts. They will gain a practical understanding of AI technologies, including machine learning, deep learning, and neural networks. By exploring real-world case studies and industry applications, participants will discover the transformative potential of AI in domains such as healthcare, finance, marketing, and more.

Key Learning Objectives:

• Understand AI Fundamentals: Gain a clear understanding of AI, its core principles, and its relevance in today's world.
• Explore AI Technologies: Learn about machine learning algorithms, neural networks, and deep learning architectures, and understand how these technologies power AI applications.
• Discover Real-World AI Applications: Explore diverse industries where AI is making a significant impact, including healthcare, finance, customer service, and transportation.
• Ethical and Social Considerations: Explore the ethical challenges and implications of AI, such as bias, fairness, privacy, and accountability, and learn strategies to address them responsibly.
• Foster AI Literacy: Develop the ability to speak and engage in discussions about AI, understand AI-related terminology, and make informed decisions regarding AI implementation.

Course Structure:

AI for Everyone is a self-paced course, allowing learners to progress at their own speed. The course consists of high-quality video lectures delivered by industry experts, practical exercises, and quizzes to reinforce learning. Additionally, learners will have the opportunity to connect and collaborate with a global community of AI enthusiasts, enabling valuable discussions and peer-to-peer learning.

Completion of the course provides learners with a certificate, highlighting their newfound AI knowledge and skills. Whether you are a business professional, manager, policymaker, or simply curious about AI, AI for Everyone is the perfect starting point to unlock the potential of artificial intelligence in today's rapidly evolving world.

Question 1)

Because smart speakers can carry out multiple functions (such as tell a joke, play music, etc.) it is an example of Artificial General Intelligence (AGI).

• True
• False

Question 2)

What are the key steps to a smart speaker function?

• Trigger detection -> intent recognition -> speech recognition -> command execution.
• Trigger word detection -> intent recognition -> speech recognition -> command execution.
• Speech recognition → Trigger word detection -> intent recognition -> command execution.
• Trigger word detection -> speech recognition -> intent recognition -> command execution.

Question 3)

Consider this system for building a self-driving car: undefined

• A motion planning algorithm
• Supervised learning
• GANs
• The component for pedestrian detection is usually built using: Reinforcement learning

Question 4)

Suppose you are building a trigger word detection system, and want to hire someone to build a system to map from Inputs A (audio clip) to Outputs B (whether the trigger word was said), using existing AI technology. Out of the list below, which of the following hires would be most suitable for writing this software?

• Data engineer
• AI Product Manager
• Machine learning engineer
• Machine learning researcher

Question 5)

What is the first step in the AI Transformation Playbook for helping your company becom good at AI?

• Build an in-house AI team
• Provide broad AI training
• Develop an AI strategy
• Execute pilot projects to gain momentum

Question 6)

Of the following options, which is the most important trait of your first pilot project?

• Succeed and show traction within 6-10 months
• Be executed by an in-house team
• Drive extremely high value for the business
• None of the above

Question 7)

Say you are building a smart speaker, and want to accumulate data for your product through having many users. Which of these represents the “Virtuous circle of AI” for this product?

Question 8)

Why is developing an AI strategy NOT the first step in the AI Transformation Playbook?

• The strategy should be to use the Virtuous Circle of AI, which comes after building a product.
• There is no reason. Developing an AI strategy IS the first step in the AI Transformation Playbook.
• When transforming a company into an AI company, one does not need a strategy, therefore it can’t be the first step.
• Without having some practical AI experience and knowing what it feels like to build an AI project, a company usually does not know enough to formulate a sound strategy.

Question 9)

According to the AI Transformation Playbook, broad AI training needs to be provided not only to engineers, but also to executives/senior business leaders and to leaders of divisions working on AI projects.

• True
• False

Question 10)

Which of the following are AI pitfalls to avoid? (Select all that apply)

• Expecting AI to solve everything
• Expecting traditional planning processes to apply without changes
• Pairing engineering talent with business talent to identify feasible and valuable projects.
• Expecting AI based projects to work the first time

Conclusion

 

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