Practical Introduction to Machine Learning
Ditulis pada: July 25, 2019
Practical Introduction to Machine Learning, Quickly Learn the Essentials of Artificial Intelligence (AI) and Machine Learning (ML)
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Created by Madhu Siddalingaiah
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What you'll learn
- Fundamentals of Artificial Intelligence (AI) and Machine Learning
- Practical business applications of machine learning
- Classification, regression, clustering, anomaly detection
- How machines learn from data
- Supervised, unsupervised, reinforcement, and transfer learning
- How to identify problems suitable for machine learning
- How to collect and prepare data suitable for training and testing machine learning models
- Different types of machine learning models and how to choose among them
- Machine learning development and production deployment process
- How to train models using GPU instances in the cloud
- Requirements
- Some Python programming is helpful, but not required
- Math concepts such as linear algebra and calculus are helpful, but not required
