Beginner friendly tips to learn Machine Learning

Machine Learning is all about teaching computers how to learn from data to make predictions.The goal is that the machine can identify patterns on its own without being explicitly programmed.

ML does highly overlap with a huge number of fields.But it's not that much difficult to learn and master in this field.The only thing that is required to excel is the urge to gain knowledge and practical implementation.So, it's always advisable to create a path of study and then dive into this pool.

Well if you are a complete beginner,then you must at first learn Python and make your concepts clear about the various terminologies of ML.

For example :

How Machine Learning works?
Which real world things uses Machine Learning?
How are Data Science,Artificial Intelligence and Machine learning related?
What is Deep Learning and Neural Networks?
and many more..

You can know these by studying various blogs available on the internet,different youtube channels,etc.
Studying this concepts, you will get a brief idea about the field and will feel confidence within you.

The next step should be doing online courses.I always think self study is the best study.There are plenty of online courses available on various sites (both paid and non-paid).

The courses which i mostly prefer are-

1. Machine Learning by Andrew Ng - This course is available on COURSERA. This is a paid course.But you can apply for financial aid there.You will be asked to write some lines as to why you are applying for financial aid and they will contact you after a few days about whether your request is granted or not.This course is one of the best course available and it covers the depth of ML which includes statistics and maths also.Here on completion you will get a certificate from the Stanford University.

2. Machine Learning A-Z;Hands on Python and R in Data Science - This is also a certified course and is available on UDEMY. This is a paid course but the amount is very less(sometimes discounts are also available). It is both beginner and intermediate level course.Here they will teach you the concepts as well as their implementation using Python and R. You will get to know about the various libraries of Python like Scikit-learn,Numpy,Pandas,Matplotlib.

3. Machine Learning with Python - COGNITIVE CLASS provides this course.This is a very basic level course.Upon completion,you will get a certificate from IBM.

While doing these courses,you must simultaneously practice them also in Python or R (mostly Python is preferred).You can just download ANACONDA  and practice what you have learnt in JUPYTER NOTEBOOK or SPYDER. There are plenty of datasets available on KAGGLE and UCI. Download them and start practicing.

Alongside these,along study from various research papers and blogs and gradually you will dominate this field.


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