Supervised Learning in Machine learning|| Explanation in Malayalam

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#supervisedlearning #Machinelearning#Malayalam#Regression#linearRegression
Supervised Learning in Machine learning|| Explanation in Malayalam

supervised learning is the most popular paradigm for machine learning. It is the easiest to understand and the simplest to implement. Given data in the form of examples with labels, we can feed a learning algorithm these example-label pairs one by one, allowing the algorithm to predict the label for each example, and giving it feedback as to whether it predicted the right answer or not.
It is highly focused on a singular task, feeding more and more examples to the algorithm until it can accurately perform on that task. This is the learning type that you will most likely encounter, as it is exhibited in many of the following common applications

The full Course Plan:
This covers the below Topics:
1. Introduction to Machine learning- Need for AI/ML, why to learn AI/ML, machine learning types, supervised,unsupervised and reinforced learning, application, difference between Human thinking Vs Machine thinking, difference between programming vs Machine learning.
2. Mathematics for Machine learning- Trigonometry, linear algebra, matrices, calculus & probability.
3.Python for Machine learning- variables, different libraries needed for data science such as numpy, pandas, matplotlib, etc
4. Deep-dive into machine learning- How ML algorithm works, the concept of cost function and gradient descent, practical examples for linear regression and Classifications, ML Algorithms and its usage.
5.Introduction to OpenCV- Image/video processing with OpenCV
6. Face recognition- Building a security alarm system using ML techniques

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Day I ongoing - Keep updating us. Thank You.

shahinshaz
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Very nice class sir.keep going like this.we will definitely support u

Parvathy-ep
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Sir your playlist correct order for beginners

fadilmk
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Sir can we predict lottary number using supervises model?

blessyps