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[Enterprise Challenge] Understanding and Implementing Machine Learning

📢 In the "Understanding and Implementing Machine Learning" course, you will learn the entire process of transforming complex data into valuable predictive models. This lecture is the most reliable shortcut into the world of machine learning.

Machine Learning(ML)
Data Engineering
B2B Only Challenge

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Career Verified

  • Bachelor's degree in Computer Science, Master's degree in Statistics

  • Extensive corporate training experience at various companies including Samsung Display, Samsung Electronics, Oracle University Korea, Multicampus, and Etivers Learning.

  • Oracle Certified Instructor, Oracle Cloud Infrastructure (OCI) Certified Instructor

  • Google Cloud Authorized Trainer (GCP) Certified Instructor

  • Lectures on Data Analysis, Data Visualization, Machine Learning, Deep Learning, Cloud, RDBMS, etc.

     

More

🎯 [ Understanding and Implementing Machine Learning ]

This is a machine learning, data engineering, and corporate-exclusive challenge.

  • Total Lecture Time: 5 days, 40 hours (Adjustable upon consultation)

  • Course Objectives

    • Understand the core concepts and characteristics of various machine learning models.

    • You can train and apply machine learning models using real-world data.

    • You can understand how to evaluate machine learning models and tune hyperparameters.


  • Target Audience

    • Beginners in AI development,

      Data analysis managers, and all job categories that require machine learning

💡 Highly recommended for the following people!

  • AI Beginners: Those who have basic knowledge of mathematics and Python but are curious about the principles of modeling

  • Aspiring Data Scientists: Those who want to apply theory to actual projects

  • Developers: Those who want to go beyond traditional logic-based programming to build and personally implement machine learning models


🚀 What makes this course different

  1. Anatomy of Mathematical Essence

    • We don't just teach you how to call libraries. You will learn the principles of preparing data and training models. We clearly explain the mathematical principles of what happens inside the model.

  2. Practical Hands-on Exercises

    • We share know-how on how to solve various problems frequently encountered in the field.

  3. Strengthening Code Implementation Skills

    • We provide the experience of building models from scratch using Python and essential libraries (Pandas, NumPy, Scikit-learn).

✅ Instructor Introduction

For the past 20 years, I have served as a professional instructor, providing the highest quality educational services to students through continuous self-development. As a cloud expert holding internationally recognized instructor certifications for Google Cloud and Oracle Cloud, I have recently expanded my expertise into the fields of Generative AI and Agentic AI, delivering in-depth, practice-oriented lectures.

✅Related Certifications

  • ORACLE OCP, OCM

  • NCS Certified Instructor (IT Development, Management, Operation, Strategy, Planning, Artificial Intelligence)

  • Big Data Expert Instructor at the Korea Data Agency

  • Oracle Certified Advanced Instructor (Oracle International Certified Instructor)

  • Google Cloud Authorized Trainer(GCP International Certified Instructor)

  • Oracle Cloud Infrastructure Accredited Instructor(OCI International Certified Instructor)

7월

2일

챌린지 시작일

2028년 7월 2일 오후 03:00

챌린지 종료일

2028년 7월 10일 오후 02:30

챌린지에서 배워요

  • Basics of Machine Learning

  • Implementing machine learning models using Python

Recommended for
these people

Who is this course right for?

  • A developer who wants to ensure data preprocessing is done thoroughly from the start.

  • Developers who want to implement machine learning models using Python

Need to know before starting?

  • Python Basics

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$127.60