Convergence Data Science Starting with Orange 3
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Description
Book Introduction
The Complete Guide to Data Analysis with Orange 3!
The world we live in is overflowing with data, and we analyze and act on data every moment.
Knowing when to leave home to avoid being late for school, predicting the fine dust index, or predicting when the first snow will fall all involve a process called data analysis.
In this way, data science goes beyond simply listing numbers and statistics; it allows us to look at the phenomena and problems we encounter in our daily lives from a new perspective.
Discovering hidden patterns in data is a joy, like finding hidden treasure.
This book is designed to lay the foundation for data science while providing practical tools and techniques.
We explore data science, focusing on Orange3, a data analysis tool that implements machine learning (ML) with drag-and-drop functionality, without the hassle of text coding.
In particular, by integrating the mathematical foundations of data science with scientific and social data in the process of resolving questions that may arise in daily life or academic learning, we demonstrate how data science can contribute to solving real-life problems.
Designed to seamlessly blend theoretical learning with practical application, this book offers step-by-step guidance based on case studies, making it suitable for classroom use and an efficient learning experience for even beginners new to data science.
The world we live in is overflowing with data, and we analyze and act on data every moment.
Knowing when to leave home to avoid being late for school, predicting the fine dust index, or predicting when the first snow will fall all involve a process called data analysis.
In this way, data science goes beyond simply listing numbers and statistics; it allows us to look at the phenomena and problems we encounter in our daily lives from a new perspective.
Discovering hidden patterns in data is a joy, like finding hidden treasure.
This book is designed to lay the foundation for data science while providing practical tools and techniques.
We explore data science, focusing on Orange3, a data analysis tool that implements machine learning (ML) with drag-and-drop functionality, without the hassle of text coding.
In particular, by integrating the mathematical foundations of data science with scientific and social data in the process of resolving questions that may arise in daily life or academic learning, we demonstrate how data science can contribute to solving real-life problems.
Designed to seamlessly blend theoretical learning with practical application, this book offers step-by-step guidance based on case studies, making it suitable for classroom use and an efficient learning experience for even beginners new to data science.
index
preface
A word from beta testers who tried this book in advance.
One-line review from a beta tester
CHAPTER 1: Preparation: Orange 3 Basics
-What is Orange 3?
-Install Orange 3
-Getting started with Orange 3
-Orange 3 warm-up exercise
CHAPTER 2: Creative Convergence: Orange 3 and Data Analysis
Why is the Wii popular in North America and the GB in Japan? | Video Games in Data - Data Visualization |
What do you need to know to choose a fuel-efficient car? | Exploratory data analysis, key data attribute extraction, logistic regression |
-When will the first snow fall? | Return |
- Let's predict the price of a house based on conditions. | Supervised learning, comparing algorithms |
- Let's cluster soccer players by skill level. | Unsupervised learning, K-means clustering, and hierarchical clustering |
-Is the content of the fairy tale "The Frog Prince" positive or negative? | Text Mining |
How are elementary, middle, and high schools distributed across the country? | Geographic Information Visualization |
CHAPTER 3: Curriculum Integration: Applying Subjects with Orange 3
Let's predict blue skies by analyzing fine dust data | Clustering (K-means) |
-Can we distinguish between relics from Baekje, Silla, and Goguryeo? | Logistic Regression |
Can AI effectively classify cloud types? | Tree-based classification models |
-How will the environment of our planet change over time? | Predictive Analytics, Time Series |
-What kind of reviews did people leave after watching the movie? | Text Mining |
Can Blood Sugar and Blood Pressure Measurements Detect Diabetes? | Supervised Learning, Naive Bayes Classification |
A word from beta testers who tried this book in advance.
One-line review from a beta tester
CHAPTER 1: Preparation: Orange 3 Basics
-What is Orange 3?
-Install Orange 3
-Getting started with Orange 3
-Orange 3 warm-up exercise
CHAPTER 2: Creative Convergence: Orange 3 and Data Analysis
Why is the Wii popular in North America and the GB in Japan? | Video Games in Data - Data Visualization |
What do you need to know to choose a fuel-efficient car? | Exploratory data analysis, key data attribute extraction, logistic regression |
-When will the first snow fall? | Return |
- Let's predict the price of a house based on conditions. | Supervised learning, comparing algorithms |
- Let's cluster soccer players by skill level. | Unsupervised learning, K-means clustering, and hierarchical clustering |
-Is the content of the fairy tale "The Frog Prince" positive or negative? | Text Mining |
How are elementary, middle, and high schools distributed across the country? | Geographic Information Visualization |
CHAPTER 3: Curriculum Integration: Applying Subjects with Orange 3
Let's predict blue skies by analyzing fine dust data | Clustering (K-means) |
-Can we distinguish between relics from Baekje, Silla, and Goguryeo? | Logistic Regression |
Can AI effectively classify cloud types? | Tree-based classification models |
-How will the environment of our planet change over time? | Predictive Analytics, Time Series |
-What kind of reviews did people leave after watching the movie? | Text Mining |
Can Blood Sugar and Blood Pressure Measurements Detect Diabetes? | Supervised Learning, Naive Bayes Classification |
Detailed image
Publisher's Review
It's a fun example that's great for class, and if you follow along step by step, data analysis becomes incredibly easy.
-Singal High School, Teacher Kang So-hee
Even beginners to Orange 3 can learn machine learning in a fun and easy way through detailed explanations, visual images, and interesting examples easily found in everyday life.
-Buro Middle School, Teacher Kim Joo-hee
This is a practical book that allows you to easily analyze data using real-life data.
Thanks to detailed explanations and various examples, artificial intelligence is easy to understand and can be applied immediately through practice, making it beneficial.
-Yongin Samgye High School, Teacher Kim Ji-hyun
This book is written in detail from the background of Orange 3 to the operating method, so that students can easily follow along.
Students can practice Orange 3 on a variety of fresh topics that interest them, making learning artificial intelligence and data analysis fun.
-Incheon Yeongjong High School, Teacher Kim Hee-yeon
It was great to see such a practical and diverse range of topics on Orange 3.
There are many projects that can be applied to non-obvious topics, so it is expected to be highly utilized in the future.
-Wongok High School, Teacher Park Su-bin
You can easily understand the principles of artificial intelligence by following practical examples.
-Bucheon High School, Teacher Oh Yu-kyung
It's easy to follow and great for use in class, as it includes detailed examples of analyzing and visualizing real-world data.
-Yanggang Middle School, Teacher Yoon Seon-young
Even if you don't know much about Orange 3, you can easily approach data analysis by following along with data you see around you.
-Sannae Middle School, Teacher Lee Du-ri
This book is easy to follow and understand for anyone who wants to start data science with Orange 3.
By practicing step-by-step on various convergence topics, you can understand the overall flow of data analysis.
-Hyangnam High School, Teacher Eunmu Lee
There are many interesting practical examples, so even beginners to Orange 3 can learn in a fun way.
It provides detailed explanations so you can analyze the same data in various ways, deepening your understanding of data science!
-Sanggal Middle School, Teacher Lim Byeong-ju
Real-world data on interesting topics are explained step-by-step, making it easy to understand even complex machine learning concepts.
I hope this book will help students discover the joy of data analysis and give them the opportunity to apply it to real-world projects!
-Ankok Middle School, Teacher Jeong Hwa-jeong
Even if you don't know much about Orange 3, I think you'll quickly understand data analysis and artificial intelligence by following along step by step using this book!
-Suwon Chilbo High School, Teacher Choi Bo-mi
-Singal High School, Teacher Kang So-hee
Even beginners to Orange 3 can learn machine learning in a fun and easy way through detailed explanations, visual images, and interesting examples easily found in everyday life.
-Buro Middle School, Teacher Kim Joo-hee
This is a practical book that allows you to easily analyze data using real-life data.
Thanks to detailed explanations and various examples, artificial intelligence is easy to understand and can be applied immediately through practice, making it beneficial.
-Yongin Samgye High School, Teacher Kim Ji-hyun
This book is written in detail from the background of Orange 3 to the operating method, so that students can easily follow along.
Students can practice Orange 3 on a variety of fresh topics that interest them, making learning artificial intelligence and data analysis fun.
-Incheon Yeongjong High School, Teacher Kim Hee-yeon
It was great to see such a practical and diverse range of topics on Orange 3.
There are many projects that can be applied to non-obvious topics, so it is expected to be highly utilized in the future.
-Wongok High School, Teacher Park Su-bin
You can easily understand the principles of artificial intelligence by following practical examples.
-Bucheon High School, Teacher Oh Yu-kyung
It's easy to follow and great for use in class, as it includes detailed examples of analyzing and visualizing real-world data.
-Yanggang Middle School, Teacher Yoon Seon-young
Even if you don't know much about Orange 3, you can easily approach data analysis by following along with data you see around you.
-Sannae Middle School, Teacher Lee Du-ri
This book is easy to follow and understand for anyone who wants to start data science with Orange 3.
By practicing step-by-step on various convergence topics, you can understand the overall flow of data analysis.
-Hyangnam High School, Teacher Eunmu Lee
There are many interesting practical examples, so even beginners to Orange 3 can learn in a fun way.
It provides detailed explanations so you can analyze the same data in various ways, deepening your understanding of data science!
-Sanggal Middle School, Teacher Lim Byeong-ju
Real-world data on interesting topics are explained step-by-step, making it easy to understand even complex machine learning concepts.
I hope this book will help students discover the joy of data analysis and give them the opportunity to apply it to real-world projects!
-Ankok Middle School, Teacher Jeong Hwa-jeong
Even if you don't know much about Orange 3, I think you'll quickly understand data analysis and artificial intelligence by following along step by step using this book!
-Suwon Chilbo High School, Teacher Choi Bo-mi
GOODS SPECIFICS
- Date of issue: October 10, 2024
- Page count, weight, size: 280 pages | 500g | 188*257*14mm
- ISBN13: 9791140714247
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