Practical Introduction to Machine Learning

Practical Introduction to Machine Learning

Practical Introduction to Machine Learning
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



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