Machine Learning vs Deep Learning : Basics to Applications



Machine Learning , Deep Learning. Artificial Neural Networks, Image Analysis,

What you will learn

The students will be able to distinguish between the pros and cons of supervised and unsupervised machine learning techniques

The students will be able to apply supervised machine learning algorithms for practical applications

The students will be able to distinguish between the supervised and unsupervised artificial neural networks

The students will be able to develop modified artificial neural network algorithms for imaging applications

Why take this course?

This course includes concepts from basics to advanced topics, necessary for the beginners, intermediate and the experts in the area of ML and DL. The student will be hooked into it in the initial chapters and will get a thorough understanding and confidence on implementation once he/she completes the course.

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The course starts with a theological perspective on the differences between human beings and machines. It leads to the pitfall   or the gaps between the machines and the human beings. How to fill it? The answer is duplicating the human brain in the form of earthly elements. But, the functions of human brain are still elusive which is hard to replicate. The solution for this problem is Artificial Intelligence. Till now, there is no concrete solution. However, we are moving forward by taking baby steps.

The complete concept of AI is portrayed here in this course which will definitely create an interest to the beginner and motivate the expert to go for poracti8cal implementation. The course includes theory, mathematical concepts, illustrations, case studies and few programming codes to give a complete picture to the student. Different types of applications are covered which indicates the suitability of this course for all the professionals.

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