Practice Model Training - 1.3 | Chapter 6: AI and Machine Learning in IoT | IoT (Internet of Things) Advance
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics

Grades

Grade 8 Grade 9 Grade 10 Grade 11 Grade 12

Curriculum

CBSE ICSE IB
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

games
Typing
Memory
Math
English Adventures
Knowledge

1.3 - Model Training

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take mock test.

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is data preprocessing?

💡 Hint: Think about the steps needed before training a model.

Question 2

Easy

Name one type of data that IoT devices can collect.

💡 Hint: Consider different formats of information.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the primary purpose of data preprocessing?

  • To clean and prepare data
  • To deploy models
  • To train models

💡 Hint: Remember the steps that ensure data quality.

Question 2

True or False: Training a model directly on raw data is the best practice.

  • True
  • False

💡 Hint: Consider what pre-training steps are typically taken.

Solve 3 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are tasked with developing a predictive maintenance model. Discuss how you would approach data collection and preprocessing. What type of data would you gather?

💡 Hint: Think about what measurements provide insight into potential machine failures.

Question 2

Describe the implications of deploying models to the edge vs. the cloud for real-time IoT systems. How would you prioritize deployment choices?

💡 Hint: Consider the real-time needs and resource constraints of the specific application.

Challenge and get performance evaluation