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Machine Learning gives you an edge while applying to the following jobs :

  • Data Scientist
  • Research Scientist
  • Machine Learning Engineer
  • Software Engineer
  • Data Analyst
  • Business Analyst

Masters courses where this skill is useful and relevant :

  • Computer Science (CS)
  • Management Information System (MIS)
  • Financial Engineering (FE)
  • Business Analytics (BA)
  • Engineering Management (EM)

36 hours of intensive lectures, training and first hand experience

3 hours sessions twice per week

10 Exercises 3 Projects

No Prerequisites

Taught by:
Nimesh Bumb
Masters in Computer Science, Arizona State University

12 students maximum per batch

Join Us

What will you learn ?

Machine Learning

  1. Introduction
  2. Types of Machine Learning
  3. General Topics
    • Overfitting
    • Underfitting
    • Bias
    • Cross-Validation
    • K-Fold
  4. Supervised Learning
    • Classification Models
      • Decision Tree
      • Random Forest
      • Naive Bayes
    • Regression Models
      • Linear Regression
      • Logistic Regression
    • k- Nearest Neighbors (k-NN)
    • Support Vector Machine (SVM)
  5. Unsupervised Learning
    • Clustering
    • Association
    • Artificial Neural Networks

GET OUR CONSULTATION TODAY

 

Please avail free consultation and get to know more about our services at Master Bridge