A Study on Practical Use of Artificial Intelligence. The purpose of this research paper is to demonstrate the ease of using artificial intelligence in

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2 A Study on Practical Use of Artificial Intelligence. The purpose of this research paper is to demonstrate the ease of using artificial intelligence in the light of the recent popularity of tertiary artificial intelligence. In this paper, I try to use artificial intelligence libraries that are open to the public. Additionally, I examine the prediction accuracy of machine learning, verify the recognition capability of deep learning, and discuss the necessary computer skills to use artificial intelligence. As a result of these examinations, machine learning was found to bring a rate of correct answers of more than 50%, and deep learning scored a high recognition rate. However, it is not easy for people who have never written a computer program to use artificial intelligence at this stage. Shigeki Takada JEL C87, C88 Keywords artificial intelligence, machine learning, deep learning 1. AI PONANZA AI 3, 2017a 59

3 % NAUTO SHaiN CNET, AI,2016 AI 2 machine learning deep learning 60

4 ,2016 Google API G CATV ADSL 61

5 GPU GPU GPU GPU Graphics Processing Unit VRAM CPU CPU GPU CPU GPU CPU 3. machine learning

6 3.2 scikit-learn Python Python scikit-learn Python NumPy SciPy pandas matplotlib scikit-learn scikit-learn scikit-learn 2 Windows PC Windows7 8GB RAM SSD Anaconda3 Python3.6 Macbook Air MacOS GB RAM, SSD Homebrew MacOS Python k-db.com CSV Excel Date Open High Low Close Volume Trading Value 63

7 71 2 ANA KDDI ETF ETF EFT 64

8 CSV 0 Excel Python Random Forest Random Forest Random Forest 10 ETF

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12

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15 toy poodle, 61.34% Bedlington terrier, 3.30% komondor, 1.47% standard poodle, 9.11% miniature poodle, 7.86% % 29.44% 1.93% 8 solar dish, 1.93% notebook computer, 29.44% laptop computer, 61.44% scale, 0.34% apiary, 0.21%

16 C++ Java Python Python 2 GPU 24 CPU 100% GPU 2 TensorFlow 73

17 71 2 Siri Pepper 74

18 Sebastian Raschka, 2016 Python impress top gear 2017 AI Deep Learning Python 2015 CNET 2017 Pepper SHaiN AI honpen.pdf a AI X20C17A5EA2000/ b Q7A520C / WEB % URL ImageRecognition recognition NVIDIA GPU Scikit-learn

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