{"product_id":"154570","title":"Orange 3 with Python ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jYDPLMqi9IznRNCJeHA6Pf2GPPF4U.png?v=1765080737\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Orange 3 with Python \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/128264511\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cdiv\u003e \u003cb\u003eThrough 9 different project exercises\u003cbr\u003e Introducing a method to predict future changes based on the situation.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e This book covers a variety of applications of data science and machine learning, and is comprised of project activities that specifically utilize Orange3 and Python to solve problems.\u003cbr\u003e Each chapter is designed to help you put theory into practice through projects based on real data, and learn the concepts and applications of machine learning.\u003cbr\u003e Additionally, although each lab focuses on a specific data set and problem, the techniques learned are applicable to other similar problems. \u003cbr\u003eTherefore, after completing each chapter, it is a good idea to apply what you have learned to other problems.\u003cbr\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003e You can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003eChapter 1: Understanding Machine Learning and Neural Networks\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 01 What is machine learning?\u003cbr\u003e 02 Map Learning Process\u003cbr\u003e 03 Neural Network Model\u003cbr\u003e 04 Learning and Assessment\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 2: Machine Learning-Based Problem Solving: Using Orange and Google Colab\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 01 Introducing Orange\u003cbr\u003e 02 Installing the Orange Program\u003cbr\u003e 03 Orange Program Screen\u003cbr\u003e 04 Using Google Colab\u003cbr\u003e 05 Major Python Libraries for Data Analysis\u003cbr\u003e 06 Machine Learning-Based Problem Solving Process\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 3: What services should hotel owners focus on to increase customer satisfaction?\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 01 Defining the Problem\u003cbr\u003e 02 How do we collect data?\u003cbr\u003e 03 How to create a hotel satisfaction classification model?\u003cbr\u003e 04 Implementing a Decision Tree Model Using Orange\u003cbr\u003e 05 Implementing a Decision Tree Model Using Python\u003cbr\u003e \u003cbr\u003e\u003cb\u003eChapter 4 How can we classify penguin species?\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 01 Defining the Problem\u003cbr\u003e 02 How is data collected?\u003cbr\u003e 03 How to create a penguin species classification model?\u003cbr\u003e 04 Predicting Penguin Species Using Oranges\u003cbr\u003e 05 Predicting Penguin Species Using the Nearest Neighbor Algorithm in Python\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 5: Can we predict the price of jajangmyeon in 2040?\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 01 Defining the Problem\u003cbr\u003e 02 How is data collected?\u003cbr\u003e 03 What data processing is required?\u003cbr\u003e 04 How to create a jajangmyeon price prediction model?\u003cbr\u003e 05 Implementing a Linear Regression Model Using Orange\u003cbr\u003e 06 Implementing a Linear Regression Model Using Python\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 6: Can Knowing Your Health Status Predict Diabetes?\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 01 Defining the Problem\u003cbr\u003e 02 How is data collected?\u003cbr\u003e 03 How to create a diabetes classification model?\u003cbr\u003e 04 Predicting Diabetes Using Oranges\u003cbr\u003e 05 Predicting Diabetes Using Python\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 7: Can we cluster earthquake data from around the world?\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e01 Defining the Problem\u003cbr\u003e 02 How is data collected?\u003cbr\u003e 03 How to create an earthquake clustering model?\u003cbr\u003e 04 Clustering Earthquake Data Using Orange\u003cbr\u003e 05 Clustering Earthquake Data Using Python\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 8: How can we reduce image size using artificial intelligence?\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 01 Defining the Problem\u003cbr\u003e 02 How is data collected?\u003cbr\u003e 03 How to create a clustering model for photos?\u003cbr\u003e 04 Clustering Photo Data Using Oranges\u003cbr\u003e 05 Clustering Photo Data Using Python\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 9: What is the connection to grocery shopping?\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 01 Defining the Problem\u003cbr\u003e 02 How is data collected?\u003cbr\u003e 03 How to conduct correlation analysis of grocery purchases?\u003cbr\u003e 04 Analyzing Grocery Purchase Relationships Using Oranges\u003cbr\u003e 05 Analyzing Grocery Store Relationships Using Python\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 10 Can sonar detect mines and rocks?\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 01 Defining the Problem\u003cbr\u003e 02 How is data collected? \u003cbr\u003e03 How to create a model to classify mines and rocks?\u003cbr\u003e 04 Predicting mines and rocks using oranges\u003cbr\u003e 05 Predicting mines and rocks using Python\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 11: How Can Artificial Intelligence Help Apple Farmers?\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 01 Defining the Problem\u003cbr\u003e 02 How is data collected?\u003cbr\u003e 03 How to create a rotten apple classification model?\u003cbr\u003e 04 Sorting Rotten Apples Using Oranges\u003cbr\u003e 05 Predicting Rotten Apple Classification Using Python\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eDetailed image\u003c\/b\u003e \u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/image.yes24.com\/momo\/TopCate4573\/MidCate001\/457205612.jpg\" border=\"0\" alt=\"Detailed Image 1\"\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e This book describes the process of solving problems using machine learning and deep learning models, using the data mining platform Orange and Python (sklearn, keras) programming.\u003cbr\u003e\u003cbr\u003e In this book, you'll learn how machine learning can solve real-world problems and predict future changes. \u003cbr\u003eAdditionally, by working on nine diverse projects, you'll experience the joy of understanding complex theories and applying them directly to real-world problems.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eThe process of solving problems using artificial intelligence (machine learning) to predict the future\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e It can be solved in the following order: [Define the problem] - [Collect data] - [Exploratory data analysis and preprocessing] - [Create a model] - [Evaluate and predict the model] - [Use the model].\u003cbr\u003e\u003cbr\u003e That is, it is structured so that you can practice collecting and analyzing data, creating models, evaluating and predicting performance, and then utilizing the models by applying the project development stages. \u003cbr\u003e\n\n\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eDate of issue:\u003c\/strong\u003e July 15, 2024\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 396 pages | 804g | 188*257*20mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791192932651\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN10:\u003c\/strong\u003e 119293265X \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default 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