Comply with the Ministry of Education's 108 Curriculum Information Technology
Providing the latest artificial intelligence exploration and practice content for 16-18 year olds

Approved by Professor Wu Junlin, Department of Information Science and Engineering, National Chung Hsing University
Approved by Professor Tsai Tsung-han, Department of Information Engineering, National Central University

◆Understandable : Full-color graphic explanations stimulate readers' interest and make learning painless.
◆ Want to know : Explain in simple terms, so that young people can fully grasp the operation process of artificial intelligence.
◆Can do it : Starting from real-life situations, design interesting AI experience implementations and analyze Python code, so that everyone can gain successful experience in creating AI.
◆ Well-made : Provide platform tools for creating AI applications, encourage young people to unleash their creativity and continue to explore the rich possibilities of artificial intelligence.

Learning AI is easy (I): A primer on machine learning

Introduction
The authors of this book are the AI4kids team, who were invited by the Ministry of Education's National Education Administration to share AI teaching at the National High School Directors Conference and were featured in a special article for Parenting World magazine. The team members are alumni of the AIA Taiwan Artificial Intelligence School . The team has expertise in software technology, innovation and research and development, engineering management, and e-commerce marketing . Because of their passion for AI technology education, they have invested in AI lesson plan development and teaching. The goal is to inspire children's curiosity and imagination by teaching them hands-on AI topics, and to help them use various programs or platform tools to explore and create their own AI applications.

This book contains online teaching courses, click here to try it out .

Celebrity Recommendation

Wang Yude, Principal of Taichung Municipal Houzong Senior High School, Shi Zhongzhe, Dean of Academic Affairs of National Zhushan Senior High School, Wu Junlin, Professor of Department of Information Science and Engineering, National Chung Hsing University, Li Jiayan, Professor of Department of Information Management, National Taiwan University, Hu Xiaowei, Associate Professor of School of Big Data Management, Soochow University, Xu Ruikai, Associate Professor of Department of Information Engineering, Tunghai University, Wen Yiling, Deputy CEO of AIA Taiwan Artificial Intelligence School, Liao Weiliang, Information Technology Teacher of Taichung Municipal Wenhua Senior High School, Liu Juncheng, Founder and CEO of Nene Smart Co., Ltd., Cai Wenhong, Physics Teacher of National Nanke International Experimental Senior High School, Cai Zonghan, Professor of Department of Information Engineering, National Central University, Cai Yanlong, Associate Professor of Department of Applied Mathematics, National Chengchi University, Cai Mingshun, Acting CEO of Taiwan Artificial Intelligence School, Jiang Peiwei, President of AIA Taiwan Artificial Intelligence School Alumni Association, Lai Jiazhen, Dean of Academic Affairs of Catholic Dominic Senior High School
(Arranged by last name)

About the author_ AI4kids

AI4kids was founded in June 2019. It is a team of alumni from AIA Taiwan Artificial Intelligence School. Members have expertise in software technology, innovation and research and development, engineering management, e-commerce marketing, etc. Because of their passion for AI technology education, they are committed to the development of AI lesson plans and teaching. Their teaching footprints are spread across high schools and colleges in the north, central, south, and east.
The team was invited by the Ministry of Education's National Education Administration to share the teaching and learning of artificial intelligence at the National High School Deans' Conference, and was also recommended by Parenting World magazine as an AI education team .

Table of contents

Chapter 1 Opening the Door to AI Artificial Intelligence
1-1 WOW! Amazing artificial intelligence
1-2 Why? Everyone must learn to be the master of AI
1-3 What? AI Quick Questions and Answers
1-4 Why can machines learn like humans?
1-5 Quick Draw! Draw it and you will understand!
1-6 Summary

Chapter 2 I can also build machine learning
2-1 Five major processes of machine learning
2-2 Summary

Chapter 3: Hands-on supervised learning
3-1 Regression and Classification
3-2 Predicting House Prices in Seconds—Introduction and Application of Linear Regression
3-3 What is the probability of breast cancer? - Introduction and application of KNN classifier
3-4 Who has a higher chance of survival, Jack or Rose? - Introduction and application of decision tree classifier
3-5 Summary
Free online teaching course <br>Teaching video 1_Predicting house prices in seconds - Introduction and application of linear regression Teaching video 2_Predicting house prices in seconds - Introduction and application of linear regression Teaching video 3_How high is the probability of breast cancer - Introduction and application of KNN classifier Teaching video 4_How high is the probability of breast cancer - Introduction and application of KNN classifier Teaching video 5_Who has a higher chance of survival, Jack or Rose - Introduction and application of decision tree classifier Teaching video 6_Who has a higher chance of survival, Jack or Rose - Introduction and application of decision tree classifier Teaching video 7_Chapter 3 Course Summary

Chapter 4: Hands-on Unsupervised Learning
4-1 Basic Introduction and Application of K-means Algorithm
4-2 Iris Clustering - K-means Application Example
4-3 Clustering of handwritten digits - K-means application example
4-4 Summary
Free online teaching course <br>Teaching video 1_Introduction to K-means algorithmTeaching video 2_Iris clustering - K-means application exampleTeaching video 3_Iris clustering - K-means application exampleTeaching video 4_Handwritten digit clustering - K-means application exampleTeaching video 5_Handwritten digit clustering - K-means application exampleTeaching video 6_Chapter 4 course summary

Chapter 5: International AI Competition
5-1 Introduction to Kaggle
5-2 Introduction to Classic Events
5-3 Kaggle data upload and ranking
5-4 Summary
Free online teaching courses <br>Teaching Video 1_International AI CompetitionTeaching Video 2_International AI CompetitionTeaching Video 3_International AI CompetitionTeaching Video 4_International AI CompetitionTeaching Video 5_International AI CompetitionTeaching Video 6_Chapter 5 Course Summary

Appendix A Python Basic Syntax Query Table
A-1 Basic Python concepts

Appendix B Introduction to using Google Colab
B-1 Introduction to Google Colaboratory
B-2 Notebook Configuration Settings
B-3 Check the current Python version and package list