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- AI
- Cloud
- Data
Machine Learning Literacy
5 Courses
16 Hours
Skill IQ
Machine Learning is the application of algorithms and mathematical models by software system to progressively improve their performance on a specific task. This skill covers the workflows, modeling techniques, and strategies behind any machine learning solution.
Content in this path
Beginner
Learn how feature engineering fits into the machine learning workflow, and build your first features from numerical data
Intermediate
Transform nominal data, such as names or categories, into features appropriate for machine learning, and apply techniques for simplifying large data sets
Advanced
Extract features from text documents and images
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What You'll Learn
- The machine learning workflow (data sourcing -> data cleaning -> data preparing -> data modeling and training -> model evaluation -> deployment -> monitoring & maintenance )
- Commonly employed data models
- Common techniques employed in machine learning (reinforcement learning, model validation strategies, etc)
Prerequisites
- Data Literacy
- Data Analytics Literacy
- Statistics
Related topics
- Advanced Analytics
- Statistics
- Mathematics
- Machine Learning
- TensorFlow
- PyTorch
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