From legal affairs to the latest technology, planning and system design, and utilization, a total of 19 applicable case studies are described in detail. We will outline the path from introduction to operation!
●Specific examples of operational design and initiatives aimed at practical application 【Manufacturing / Development / Marketing / Automotive / Finance / Environment / Agriculture / Healthcare】 - How is data collection conducted? ⇒ Sensing technologies and devices used / Types and amounts of necessary data / Points to consider during data collection - Learning points from handling data lying dormant inside and outside the company ⇒ How to handle big data / Tips for situations with limited data / Methods for improving accuracy / Criteria for selecting learning methods and learning processes / Verification of messy data - Application to actual business operations. From system theory to operational utilization methods ⇒ Process from problem setting to resolution / Issues that arise during implementation and solutions / Development process of services and operational results ●To utilize machine learning and artificial intelligence in practice. What are the necessary requirements for companies and on-site operations? ●Explanation of machine learning methods by purpose - correctly understanding the strengths and weaknesses of each method! ●Learn specifically from mainstream tools to handling languages!
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basic information
Publication: End of November 2017 Price: 62,000 yen + tax Format: B5 size, approximately 310 pages ISBN: 978-4-86502-142-4 ◇◆For more details, please visit our company's NP◆◇ http://www.johokiko.co.jp/publishing/BC171101.php
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62,000
Price range
P2
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※Orders placed by 3 PM on the day of publication will be shipped on the same day.
Applications/Examples of results
Chapter 1: Utilizing Machine Learning and Artificial Intelligence in Practice Chapter 2: Legal Issues Including Intellectual Property Chapter 3: Machine Learning and Its Algorithms Chapter 4: Trends in Machine Learning Chapter 5: Design and Case Studies for the Introduction and Utilization of Artificial Intelligence and Machine Learning Section 1: Manufacturing and Industry Section 2: Marketing and Customer Engagement Section 3: Automotive - Machine Learning Technologies Enabling Autonomous Driving and Their Trends Section 4: Finance - Asset Management Support Services Utilizing Artificial Intelligence Section 5: Environment Section 6: Agriculture - Initiatives for Smart Agriculture Utilizing IoT, Big Data, and AI Section 7: Healthcare
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The information organization aims to contribute to the development of the industry through technical seminars on chemistry, pharmaceuticals, electronics, machinery, environment, cosmetics, food, etc., as well as the publication of technical books, correspondence courses, and DVDs that record seminars.