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GeeksforGeeks Horizontal tabs
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Interview
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Practice
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Python
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Algorithms
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Machine Learning
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Also, in Asymptotic analysis, we always
talk about input sizes larger than a
constant value. It might be possible
that those large inputs are never given
to your software and an algorithm which is
asymptotically slower, always performs
better for your particular situation.
So, you may end up choosing an algorithm
that is Asymptotically slower but faster
for your software.
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Asymptotic Analysis is the big idea
that handles above issues in analyzing
algorithms. In Asymptotic Analysis,
we evaluate the performance of an
algorithm in terms of input size (we
don’t measure the actual running time).
We calculate, how does the time
(or space) taken by an algorithm
increases with the input size.
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Python is a high-level, general-purpose
and a very popular programming language.
Python programming language (latest Python 3)
is being used in web development, Machine
Learning applications, along with all
cutting edge technology in Software Industry.
Python Programming Language is very well
suited for Beginners, also for experienced
programmers with other programming languages
like C++ and Java.
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>Greedy Algorithms</
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Greedy is an algorithmic paradigm that
builds up a solution piece by piece,
always choosing the next piece that
offers the most obvious and immediate
benefit. So the problems where
choosing locally optimal also
leads to global solution are
best fit for Greedy.
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>Machine Learning</
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Machine Learning is the field of
study that gives computers the capability
to learn without being explicitly
programmed. ML is one of the most
exciting technologies that one
would have ever come across.
As it is evident from the name,
it gives the computer that makes
it more similar to humans:
The ability to learn. Machine learning
is actively being used today,
perhaps in many more places than
one would expect.
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