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NumPy (Numerical Python) is a linear algebra library in Python.NumPy is
very useful for performing mathematical and logical operations on
multi-dimensional arrays and matrices. It also provides a large collection
of high-level mathematical functions to operate on these arrays. So
Numpy being one of the essential libraries for Machine Learning, so it’s
essential to understand the nuances of the Library.
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Probability deals with predicting the likelihood of future events, while
statistics involves the analysis of the frequency of past events.
Machine Learning is an interdisciplinary field that uses statistics,
probability, algorithms to learn from data and provide insights that can
be used to build intelligent applications and Real-life AI models.
(NOTE:-Using fancy tools like neural nets, boosting, and support vector
machines without understanding the basics of probability and statistics are like
doing brain surgery before knowing how to use a band-aid).
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Data are dumb, algorithms are dumb, and two dummies don’t make artificial intelligence. Fortunately, (some) humans aren’t dumb.

This is why so many impressive things have come of Data Science and machine learning — they’re accomplished by an intelligent human, not a dumb algorithm. This is what we call Collaborating Intelligence.

Fun Fact:- There are around 6,000 freshers added to the AI workforce in India in 2019. The number was 3,700 in 2018.
So what do you think, Is AI Going To Be A Jobs Killer?
Comment down below 👇🏻.

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Machine Learning: The bridge between the brain and bots. A place where words matter