Machine Learning and Deep Learning

Machine Learning and Deep Learning

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    With Hewlett Packard Enterprise Certification

    Machine Learning and Deep Learning are so persistent in today’s world that one may probably be using it more than 10 times a day without knowing it. Facebook tag suggestions is one of the very common examples linked to it. One can think of Artificial Intelligence (AI), Machine Learning and Deep Learning as a set of items nested within each other. Deep Learning is a subset of Machine Learning and Machine Learning is a subset of AI which is simply the science and engineering of making intelligent machines. Machine Learning uses algorithms to analyse data, learn from the data, and then make informed decision accordingly. However, Deep learning structures algorithms in layers and high-level representations to create an ‘Artificial Neural Network’ that can learn, understand and make intelligent decisions. As the term specifies, Deep Learning is stimulated by the human brain and is based on ‘Artificial Neural Network’ which is developed on a similar architecture of human brain.

    Weekend batches

    Syllabus:

    • Fundamentals of Machine Learning
    • Types of Machine Learning Algorithms
    • Planning for Machine Learning
    • Mathematical and Statistical Concepts
    • Regression
    • Tree Modelling
    • Classification
    • Clustering
    • Reinforcement Learning
    • Machine Learning with R
    • Deep Learning
    • Going Deep Using TensorFlow
    • Artificial Neural Networks (ANN)
    • Convolutional Neural Networks (CNN)
    • Recurrent Neural Networks (RNN)
    • Distributed TensorFlow
    • Deep Learning Applications

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