Machine Learning

Intermediate


50 hrs | 4 Weeks

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What will I Learn?
    • Find out how machine Learning is applied in different fields

    • Introduction to Data Science for Machine Learning

    • Decision trees

    • Supervised learning

    • Unsupervised learning

    • Deep learning

    • Convolution Neural Networks

Requirements
    • Probability and Statistics

    • Data Modeling & Evaluation

    • Machine Learning Algorithms

    • Distributed Computing

    • Advanced Signal Processing Techniques.

Description

It is a key to develop intelligent systems and analyze data in science and engineering.

It covers theoretical foundations as well as essential algorithms for supervised and unsupervised learning.