how to start learning machine learning

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How to Start Learning Machine Learning?
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Table Of Content
Introduction
01
02
What is Machine Learning?
03
Why Do We use Machine Learning?
04
Understand the pre-requirements Learn Various ML
Concepts
05
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Introduction
Machine Learning in 1950 was defined as a Field
of study that allows computers to learn without
being explicitly programmed. And that was the
beginning of Machine Learning. In modern times,
ML is one of the most popular career options.
According to a survey, Machine learning engineer
is the best Career of the decade. It is predicted
to grow Year-over-year by 25 (between
2022-2030), with an average base salary of
130,000 annually in the USA and INR 9.5 LPA in
India.
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What is Machine Learning?
Machine Learning involves the use of AI to allow
machines to learn a task from experience without
programming them, particularly regarding that
task. This process starts with feeding them
good- quality data and training the machines by
creating various machine-learning models using
the data and multiple algorithms.
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Why Do We use Machine Learning?
As we are moving forward in the digital world, a
massive quantity of data is generated every
minute, along with the accessibility of
high-speed internet. This is the primary part of
creating automatic systems that can manage data
at such a threshold by accurately using various
algorithms for complicated data collection.
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Understand the pre-requirements
In case you are a genius, you could start
Machine learning straightway. Still, usually,
there are some pre-requirements that you need
to know, which include Statistics, Multivariate
Calculus, Python, and Linear Algebra.
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Learn Various ML Concepts

1. How to Practise Machine Learning?
2. Resources for Learning (ML)
3. Types of Machine Learning
4. Terminologies of Machine Learning

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