Data Science

Advanced Learning Algorithms

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Construct and train neural networks and tree ensemble methods using TensorFlow, while applying effective machine learning practices for real-world data generalization.

Key AI Functions:Tensorflow, Advice for Model Development, Artificial Neural Network, Xgboost, Tree Ensembles

Description for Advanced Learning Algorithms

  • Utilize TensorFlow to construct and train a neural network for multi-class classification.
  • Employ the most effective machine learning development practices to ensure that your models are able to generalize to real-world data and tasks.
  • Develop and implement tree ensemble methods, such as random forests and augmented trees, as well as decision trees.
  • Level: Beginner

    Certification Degree: Yes

    Languages the Course is Available: 21

    Offered by: On Coursera provided by Stanford University & DeepLearning.AI

    Duration: 34 hours (approximately)

    Schedule: Flexible

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