Digital Transformation : Fundamental Machine Learning
irna
Fri, 02/17/2023 - 03:33
Duration
2 Days
Exam Details
This course is part of the following certification track(s):
- Digital Transformation Data Science Professional
- Digital Transformation Data Scientist
Price
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This course provides an easy-to-understand overview of machine learning for anyone interested in how it works, what it can and cannot do and how it is commonly utilized in support of business goals. The course covers common algorithm types and further explains how machine learning systems work behind the scenes. The base course materials are accompanied with an informational supplement covering a range of common algorithms and practices.
Key Outcomes:
Students will be able to know:
- Machine Learning Business and Technology Drivers, Benefits and Challenges, Usage Scenarios, Algorithms and Practices, Best Practices
- Datasets, Structured, Unstructured and Semi-Structured Data, Common Mechanisms
- Deep Learning, Artificial Intelligence (AI)
Objectives
- Machine Learning Business and Technology Drivers
- Machine Learning Benefits and Challenges
- Machine Learning Usage Scenarios
- Datasets, Structured, Unstructured and Semi-Structured Data
- Models, Algorithms, Model Training and Learning
- How Machine Learning Works
- Collecting and Pre-Processing Training Data
- Algorithm and Model Selection
- Training Models and Deploy Trained Models
- Machine Learning Algorithms and Practices
- Supervised Learning, Classification, Decision Tree
- Regression, Ensemble Methods, Dimension Reduction
- Unsupervised Learning and Clustering
- Semi-Supervised and Reinforcement Learning
- Machine Learning Best Practices
- How Machine Learning Systems Work
- Common Machine Learning Mechanisms
- How Mechanisms Are Used in Model Training
- Machine Learning and Deep Learning, Artificial Intelligence (AI)
Contact
- Nurman (+62 857-2375-3840)
- Irna (+62 822-1664-7749)
- Rakhmat (+62 813-2149-6020)
- Puji (+62 813-2424-2115)
- Alifa (+62 822-1556-8920)