Special Offer: Free Internship & Real-Time Project For All Software Courses

Course content

  • 1. What is ML?
  • 2. Visualization
  • 3. Data, Problems, and tools
  • 4. Matlab
  • 5. Linear Classification
  • 6. Perceptron update rule
  • 7. Perceptron convergence
  • 8. Generalization
  • 9. Maximum margin classification
  • 10. Classification errors
  • 11. Regularization
  • 11. Logistic regression
  • 11. Linear regression, estimator bias, and variance, active learning
  • 11. Kernel regression
  • 1. Kernel optimization
  • 2. Model selection
  • 3. CModel selection criteria
  • 4. Description length, feature selection
  • 5. Combining classifiers, boosting
  • 6. Boosting, margin, and complexity
  • 7. Margin and generalization, mixture models
  • 8. Mixtures and the expectation-maximization (EM) algorithm
  • 1. Clustering
  • 2. Spectral clustering, Markov models
  • 3. Hidden Markov models (HMMs)
  • 4. Bayesian networks
  • 5. Learning Bayesian networks
  • 6. Probabilistic inference
  • 7. Guest lecture on collaborative filtering
  • 8. Current problems in machine learning, wrap up

Why Choose MAK Technologies?

Industry-Oriented Training

Real-Time Project Learning

Flexible Online Classes

Expert Mentor Support

Why You Should Learn Machine Learning

  • High demand in today’s job market
  • Used in AI, automation, and smart systems
  • Wide applications across multiple industries
  • Strong foundation for object-oriented programming and software design concepts.
  • Strong career growth and future opportunities
  • Helps build intelligent data-driven solutions
  • Enhances problem-solving and analytical skills
  • Attractive salary potential worldwide
  • Foundation for advanced AI and data science roles

$150.99

  • Class Online
  • Language English, Tamil, Hindi
  • Certificate Yes
  • Level Beginner
  • Topic Machine Learning
  • Other includes:
    • ✓ Class recordings
    • ✓ Online certification
    • ✓ Online classes conducted Google Meet and Zoom
    • ✓ Online interviews
    • ✓ Foreign countries study guidance available

Career Benefits of Learning Machine Learning With Us

Frequently Asked Questions

Students, graduates, and working professionals with an interest in data and analytics can learn machine learning.

Basic knowledge of Python is recommended, but beginners can also start with proper guidance.

Machine Learning Engineer, Data Scientist, AI Engineer, Data Analyst, or Research Analyst.

With the right training and practical approach, machine learning can be learned step by step.

Yes. The course includes real-time projects using industry datasets.

Start Your IT Career with MAK Technologies

Call Call
Chat for Course Details