Course Description

This course provides an opportunity to apply machine learning skills to a project practically. You will apply machine learning and artificial intelligence to solve problems, leverage opportunities and build a basic AI scenario.

Learner Outcomes

  • Solve challenging problems with AI by identifying opportunities, designing and improving product development.
  • Apply principles, algorithms and application of ML/AI.
  • Use data structures for manipulations.
  • Solve meaningful problems using deep learning algorithms like TensorFlow(TF), Convolutional Neural Network(CNN), Long Short Term Memory (LSTM).
  • Use classification and regression techniques for ML modelling.
  • Solve practical problems in computer vision, natural language processing and time series.
  • Utilize supervised and unsupervised learning algorithms and models, including boost, random forest, logistic regression and KNN.
  • Utilize mlOS and similar machine learning platforms to solve meaningful problems.
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