$40.00
50

Course Features

  • Lectures 7
  • Quizzes 0
  • Duration 30 hour
  • Skill level Mid Level
  • Language English
  • Students 50
  • Assessments Yes

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50 students

Course Details

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.

learn about not only the theoretical underpinnings of learning but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.

Course objectives

  • Understand the components of a machine learning algorithm.
  • Apply machine learning tools to build and evaluate predictors.
  • How machine learning uses computer algorithms to search for patterns in data
  • How to uncover hidden themes in large collections of documents using topic modelling.
  • How to use data patterns to make decisions and predictions with real-world examples
  • How to prepare data, deal with missing data and create custom data analysis solutions for different industries
  • Basic and frequently used algorithmic techniques including sorting, searching, greedy algorithms and dynamic programming

I'm having 15 years of rich experience in corporate training.

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