"Machine Learning Basics - Even Beginners Welcome! Bringing Data Analysis Closer to You" We will conduct a case study on model building using the techniques learned.
There are two types of case studies, and you will learn the key points of "data polishing (value enhancement)" that greatly influence the results of data analysis in two stages. We will provide practical information that is useful for real-world interactions, including industry trends. ■ Learning Objectives - Understand the entire process of building a predictive model. - Understand the customer business behind the data. - Be able to refine raw data entrusted to you into a dataset for analysis. - Compare the performance of multiple methods to determine the optimal model. ■ Target Audience - Those responsible for data analysis tasks or those who wish to be involved in them. - Those who need to understand what actual model building entails when proposing data analysis. - Those who are unsure about the modeling process and are confused about learning data analysis. - Those who want to systematically learn predictive modeling techniques. ■ Prerequisite Knowledge Completion of the "Machine Learning Basic Knowledge - Even Beginners Can Do It! Getting Close to Data Analysis" e-learning course or equivalent knowledge.
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basic information
■Contents 1. Introduction (1) Orientation (2) Review of the learning content from the basic knowledge section (e-learning) 2. Case Exercises (1) Summarize questions by inferring customer operations and business from data (2) Check for data quality issues using data inspection nodes and various graphs (3) Modeling using multiple methods (4) Accuracy evaluation and tuning (5) Reporting ■We will use your information within the scope of the stated purpose, with your agreement to the contents described in "Regarding Personal Information Protection." - Regarding Personal Information Protection https://www.hitachi-ac.co.jp/utility/privacy/ - Purpose of Use 1. Information on events, seminars, and product/service offerings 2. Use for sales information regarding our services and campaign information via email *Please feel free to contact us. *Please refer to the Digital Transformation (DX) course curriculum. *Please refer to the Monozukuri course curriculum.
Price information
¥108,900 (including tax)
Price range
P3
Delivery Time
P1
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Applications/Examples of results
- This course will be held from 10:00 to 17:00. - The case themes will be changed to the latest themes as needed, and changes may occur without prior notice. - The machine exercise environment for this course will be provided by our company. - It is the same as the course "Experience the Process of Building Predictive Models (Case Study Edition) - From Data Value Enhancement to Result Explanation." The course name was changed in April 2020 due to an increase in case studies. - If you are applying for the online training (virtual classroom), please make sure to confirm your connection in advance. [Connection confirmation here] https://www.hitachi-ac.co.jp/pdf/service/opcourse/VirtualClassroom/d_vc_flow.pdf
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Company information
With the three pillars of "Consulting," "Training," and "Training Management," we provide comprehensive support for our clients' human resource development. For many years, we have been committed to offering effective and efficient training, as well as highly specialized training, utilizing IT. Moving forward, we will consolidate and integrate the achievements (strengths) of our training institutions to expand and enhance training services that respond to trends in society across various fields, including IT, OT*, management, and business. *OT: Operational Technology (Control and Operational Technology) *Manufacturing Training System https://www.hitachi-ac.co.jp/service/opcourse/theme/making.html