Machine Learning

Course Overview

The topic of machine learning focuses on creating computer systems that gain knowledge via experience. Its interactions with statistics, brain science, information theory, optimization, and probability theory make it an area in artificial intelligence.

The course will use examples from practical applications to demonstrate how to create learning and adaptable systems. There will be no prerequisites for the course, thus it will be independent. The primary subjects include unsupervised learning, reinforcement learning, neural networks, decision trees, and linear discriminants. A current application of machine learning to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing will also be covered in the course.

Who should take this course:

  • Anybody with an interest in machine learning.
  • Students who wish to begin learning machine learning and who have at least a high school math background.
  • Any intermediate-level individuals who are familiar with the fundamentals of machine learning, including the traditional methods like logistic regression or regression with errors, but who are interested in learning more and exploring all the diverse areas of machine learning.
  • Anyone interested in machine learning who is not very comfortable with coding and wants to apply it quickly to datasets.
  • Any college students who wish to begin a career in data science.
  • Anyone looking to advance their machine learning skills as a data analyst.

Course Outline

  • Master Machine Learning on Python & R
  • Have a great intuition of many Machine Learning models
  • Make accurate predictions
  • Make powerful analysis
  • Make robust Machine Learning models
  • Create strong added value to your business
  • Use Machine Learning for personal purpose
  • Handle specific topics like Reinforcement Learning, NLP and Deep Learning
  • Handle advanced techniques like Dimensionality Reduction
  • Know which Machine Learning model to choose for each type of problem
  • Build an army of powerful Machine Learning models and know how to combine them to solve any problem

Duration: 2 Months

Price: 450,000