Acumen IT Training, Inc.

  • +63 917 714 4350 or DUO: (02) 7971 5203
  • 11th Floor, SM Aura Office Tower, 26th Street, Mckinley Parkway, Fort Bonifacio, Taguig City, Metro Manila, Philippines
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  • +63 917 714 4350 or DUO: (02) 7971 5203
  • Main: 11th Floor, SM Aura Office Tower, 26th Street, Mckinley Parkway, Fort Bonifacio, Taguig City, Metro Manila, Philippines
    Satellite Office: 2nd Floor, Bonifacio Technology Center, 31st St. cor. 2nd Ave., Bonifacio Global City, Taguig City​
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MACHINE LEARNING

COURSE DESCRIPTION

In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you’ll 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.

WHAT WILL YOU LEARN?

  • Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
  • Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
  • Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
  • Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbours, K-means clustering and more

PRE-REQUISITES

  • Developers aspiring to be a data scientist or machine learning engineer
  • Analytics managers who are leading a team of analysts
  • Business analysts who want to understand data science techniques
  • Information architects who want to gain expertise in machine learning algorithms
  • Analytics professionals who want to work in machine learning or artificial intelligence
  • Graduates looking to build a career in data science and machine learning
  • Experienced professionals who would like to harness machine learning in their fields to get more insights

COURSE OUTLINE

  • Introduction to Python Programming
  • Data Structure and Manipulation
  • Statistic and Probability of Data
  • Visualization in Python
  • Linear Regression
  • Logistic Regression
  • Artificial Neural Networks
  • Support Vector Machine
  • Component Analysis
  • Natural Language Processing

For FULL COURSE OUTLINE, please contact us.

Please contact us for the schedules and for booking a private class.

Inquire Now
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