DEMYSTIFYING ML FOR ALL


Is it the right time to start or Am I late?Whenever we begin to learn something we have thousands of questions and doubt that needs to answered whether it is to plan an academic excellence or maybe something easy as starting ML.Yeah u have heard it right !Learning ML is now as simple task as peeling an orange just you need to be focused and guided in right direction with passion and practice being your spoon to take the end fruit out of excellence in ML.

“Machines can learn and think too ” if said 90s would sound like a fiction movie script but now we all know this is reality and what is in trend.

So giving or making machine the power to think ,learn and decide sometimes as good as we humans do is Machine Learning.This magic can be better explained as the application of artificial intelligence that provides the machine the system to learn from data and and improve from learning experience and predict the output as correct as possible.

BUT HOW CAN MACHINES LEARN ???

To keep it simple and brief they learn by finding similarities and trend in data that gives them a pattern that could be understood logically based on math behind it .Its same as we acquire the data around us and think to make it as information for us .The more we see and learn the smarter we get.

HOW AND FROM WHERE TO LEARN ???

From millions of resources provided online finding the right path it seems like finding a pin in sand.So here is a directional way that anyone can start with to enter in the field of it .These are based on votes,preferences and online research.

Online Resources:-

1. https://www.coursera.org/learn/machine-learning

2. https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/

3. https://www.deeplearning.ai/

Books :-

1.O’Reilly {Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition}

Getting started

There are few basic things that has to be kept in mind is to practice more and more giving it time and showing passion towards it to make it a hobby to treat data as an entity for machine learning.

Good Luck!!!

Introduce Yourself (Example Post)

This is an example post, originally published as part of Blogging University. Enroll in one of our ten programs, and start your blog right.

You’re going to publish a post today. Don’t worry about how your blog looks. Don’t worry if you haven’t given it a name yet, or you’re feeling overwhelmed. Just click the “New Post” button, and tell us why you’re here.

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