Machine Learning Fundamental

"Machine Learning Fundamentals" refers to the essential principles, concepts, and techniques that serve as the foundational knowledge in the field of machine learning.

This course is meticulously crafted to provide a solid and practical understanding of the core principles of machine learning. Delivered by industry experts, this course covers key topics such as understanding machine learning problems, mastering linear models and decision trees, harnessing data visualization and exploratory analysis, and diving into the world of data clustering.

  • Learners

    Everyone

  • Materials

    6 Videos

  • Duration

    Up to 6  Hours

  • Documents

    6 PDFs

Topics

  • Machine Learning Problem
  • Linear Model
  • Decision Tree & KNN
  • Data Visualization
  • Exploratory Data Analysis
  • Data Clustering

Meet Our Team

Risman Adnan
Digital technology Director

Risman Adnan received the B.Sc. and the M.Sc. in theoretical physics, and the Ph.D. degrees in computer science from Universitas Indonesia, in 1998, 2000, and 2021, respectively. Starting in 2004, he spent ten years as the Director of the Developer Ecosystem at Microsoft Indonesia. He joined Samsung Research and Development Indonesia (SRIN), as the Chief Technology Officer to incubate and nurture AI, IoT, and Cloud technology competencies, in 2014.

He joined Kalbe Digital Lab as the Digital Technology Director in 2023. His research interests include theoretical physics, machine learning, and quantum computing.

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