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Machine Learning Is For Everyone
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Machine Learning Is For Everyone

22 July Online

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About this event

This introductory lecture helps in awareness about Machine Learning patterns and use cases in real world.
After this course, you will be able to:

  • Describe Supervised and Unsupervised learning techniques and usages
  • Understand techniques like Classification, Clustering and Regression
  • Discuss how to identify which kinds of technique to be applied for specific use case
  • Understand the popular Machine offerings like Amazon Machine Learning, TensorFlow, Azure Machine Learning, Spark mlib, Python and R etc.
  • Install and Setup Anaconda.
  • Perform hands-on activity using Jupyter Notebooks.

Topic Outline:

  • Course Introduction
  • Machine Learning patterns

- Classification
- Clustering
- Regression
* Gartner Hype Cycle for Emerging Technologies
* Machine Learning offerings in Industry
* Exercise 1 - Install and Setup Anaconda.
* Python Libraries

- NumPy
- Pandas
- Scikit Learn
* Exercise 2: Data Analysis using Pandas
* Algorithms

- Linear Regression
- Decision Tree
* Exercise 3: Perform Linear regression using Scikit-learn
* References and Next steps

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