Course details

Data Tools: Machine Learning & Deep Learning in the Cloud

Data Tools: Machine Learning & Deep Learning in the Cloud


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore machine learning solutions provided by AWS and Microsoft. Compare the prominent tools and frameworks that can be used to implement machine learning and deep learning.



Expected Duration (hours)
0.4

Lesson Objectives

Data Tools: Machine Learning & Deep Learning in the Cloud

  • recognize the capabilities of Microsoft machine learning tools
  • recognize the machine learning tools provided by AWS for data analysis
  • specify Spark's machine leaning capabilities and the features of PySpark
  • list frameworks that can be used to implement deep learning such as Keras, TensorFlow, Caffe, and PyTorch
  • implement deep learning using Keras
  • list tools that can be used to implement data mining and analytics and their features
  • demonstrate the capabilities of building and processing data pipeline with Knime
  • set up Keras, implement a deep learning algorithm, and build data pipelines using KNIME
  • Course Number:
    it_dsprtldj_02_enus

    Expertise Level
    Intermediate