Digital Transformation : Advanced Machine Learning
irna
Fri, 02/17/2023 - 03:37
Duration
2 Days
Exam Details
This course is part of the following certification track(s):
- Digital Transformation Data Scientist
Price
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This course delves into the many algorithms, methods and models of contemporary machine learning practices to explore how a range of different business problems can be solved by utilizing and combining proven machine learning techniques.
Key Outcomes:
Students will be able to know:
- Data Reduction Patterns
- Data Wrangling Patterns
- Model Evaluation Patterns, Baseline Modeling
- Lightweight Model Implementation, Incremental Model Learning
Objectives
- Data Exploration Patterns
- Central Tendency Computation, Variability Computation
- Associativity Computation, Graphical Summary Computation
- Data Reduction Patterns
- Feature Selection, Feature Extraction
- Data Wrangling Patterns
- Feature Imputation, Feature Encoding
- Feature Discretization, Feature Standardization
- Supervised Learning Patterns
- Numerical Prediction, Category Prediction
- Unsupervised Learning Patterns
- Category Discovery, Pattern Discovery
- Model Evaluation Patterns, Baseline Modeling
- Training Performance Evaluation, Prediction Performance Evaluation
- Model Optimization Patterns
- Ensemble Learning, Frequent Model Retraining
- Lightweight Model Implementation, Incremental Model Learning
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)