Course Highlights
  • Describe machine learning, deep learning, neural networks, and ML algorithms like classification, regression, clustering, and dimensional reduction.
  • Implement supervised and unsupervised machine learning models using SciPy and ScikitLearn. 
  • Deploy machine learning algorithms and pipelines on Apache Spark. 
  • Build deep learning models and neural networks using Keras, PyTorch, and TensorFlow. 
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IBM AI Engineering

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