Artificial intelligence (AI) is a board concept, and this
emerging field has been growing and evolving continuously. So, the
newcomers or beginners face problems to start their journey in
artificial intelligence. They become confused about how to learn
artificial intelligence easily. Also, beginners don’t understand
how they will adopt artificial intelligence to their computer-based
system or robot to make them intelligent similar to human
intelligence.
The main goal of artificial intelligence or machine
learning[1] is to develop a machine
or system such a way that it can think, act, perceive as the human
brain can. In the forthcoming year, artificial intelligence will
dominate our workplace, which will decrease the need for the human
workforce.
How To Learn Artificial
Intelligence
Artificial intelligence (AI) mimics human intelligence.
The CEO of DataRobot, Jeremy Achin,
defines AI: “An artificial intelligence is a computer system that
can able to perform a task as a human can perform. The AI can be
powered by deep learning, machine learning[2], and rule-based
approach.” Below we provide a guideline for beginners to learn
artificial intelligence.
Step 1. Learn a Programming
Language
Can a
machine think, or can a machine act intelligently as a human? Yes,
a machine can. If we employ artificial intelligence into this
machine. To employ AI in an artificial intelligence or machine learning
project[3], a beginner must have to
know a programming language very well. He must know the syntax,
method, libraries, and packages of that programming
language.
A programming language is a set of instructions that
produces the desired output. Several programming languages,
frameworks, and machine learning software are
available in the market. A developer can use any programming
language based on his preference and system
requirements.[4]
AI researchers have designed several programming languages
to develop an artificial intelligence project. A beginner or
fresher can learn R programming
language, MatLab, Java, Python[6], Julia, Prolog, Haskell,
Lisp, C++, and so forth to develop his project. One can develop his
project effortlessly by using these programming
languages. [5]
Step 2. Refresh
Your Fundamental Knowledge
Artificial intelligence is such a board umbrella that
encompasses many other areas like mathematics, statistics, machine
learning, and many more. For this, a fresher must have to refresh
his fundamental knowledge. He/ she must have to know mathematical
terms, i.e., algebra and statistics techniques, i.e., standard
deviation, distributions, probability theory, and machine learning algorithms and
techniques.[7]
Step 3. Learn
from Best Courses
The beginners
are always confused or irritated about how will they start their
journey of learning. They always search in google how to learn
artificial intelligence. We addressed this question in one of the
previous articles. You may read it: the best AI and Machine Learning
courses[8].
These courses are for everyone. By completing these useful
courses, you may understand the common AI terminology like machine
learning (ML), artificial neural networks (ANN), data science, and
deep learning. Also, you will learn the theoretical background of
artificial intelligence and how to build an AI project. Moreover,
you will able to work with an AI team by accomplishing this
course.
Step 4. Learn
from Best Books
If you want to learn
something new, then the book is the best option for you rather than
any other media like YouTube videos or articles. Several books are
written on artificial intelligence. To boost up your artificial
intelligence knowledge, you may read this book: Artificial
Intelligence: A Modern Approach. This one of the best books
for any beginner.
Besides this, several books are also available such as
Artificial Intelligence: A Guide for Thinking Humans by Melanie
Mitchell, Artificial Intelligence: A New Synthesis by Nils J.
Nilsson, Life 3.0 – Being Human in the Age of Artificial
Intelligence by Max Tegmark.
Step 5. Useful
Resources form Quora
If you are searching how to learn artificial intelligence,
then we must say your search ends here. In this article, we try to
capture several ways of learning artificial intelligence.
You may get useful resources from Quora[9]
to learn artificial intelligence like what is
AI?, future of artificial intelligence, the best way to
learn AI for beginners, how does AI work? prerequisites for
learning artificial intelligence and many more.
Step 6. AI
Project
While learning, it is crucial to gain theoretical
knowledge as well as practical knowledge. To employ your
theoretical knowledge practically, you should pick an artificial
intelligence project. We have listed the best
artificial intelligence and machine
learning projects[10] for your convenience.
These projects will help you to boost up your skills.
To develop an artificial intelligence project, first, you
have to pick a problem. Then, you have to find out a solution for
this problem. Solving this problem also helps you to get engage
with machine learning techniques deeply. After getting a solution,
you have to try to find out an optimum solution for this
problem.
Then, you have to code your solution using any programming
language. Also, you need a noise-free and standard dataset to train
and test the system. If you need any dataset, you may read
this machine learning datasets
article. In this article, we outlined the datasets download
link for your convenience. [11]
Step 7 – Project
Evaluation
Evaluation is such a process that examines the performance of a
system. That means how much a system gives an accurate result with
the actual output. After developing an AI project, you have to
evaluate your project with the actual output. If you get less
accuracy, then you have to check out your logic again and again.
And you must have to change the logic or initial solution according
to your requirements.
Step 8 – Implementation
of Assessment
After modifying your logic, you have to write down code for the
modified section. Finally, you have to evaluate your program again.
If it gives a better result than before, then your journey of the
coding ends here. Now, you can go to step 8. Otherwise, you have to
modify your logic again. You have to modify your code until you get
a satisfactory result.
Step 9 – Share Your
Code
Sharing is the best way of learning. If you share your
knowledge with others, you can learn from others. You may share
your code on GitHub[12], Kaggle Kernels[13], or other
GitHub alternative sites. If you
share your code, then you can get feedback on your solution. It
will help you to learn, and also it will help you to make your
program efficient and accurate. And, thus, it will help you to get
a satisfactory result from your computer-based system.
[14]
Moreover, you may write documentation for your artificial
intelligence project. Then finally, you can publish a research
paper based on your project.
Ending Thoughts
The field of artificial intelligence is a cutting edge
trend. If you are a computer science student, then you must have to
know how to learn artificial intelligence. By learning artificial
intelligence, you will enter the core of computer science. It
mimics the human brain. Artificial intelligence enables a
computer-based system or robot to perceive and act like a human. If
you are unaware of the techniques of artificial intelligence and
machine learning, then you are a backdated person in this
technology-driven world. Because artificial intelligence spreads
over our day to day life.
If you are a beginner in this field, you go through our
previous article that is about interview questions of machine
learning. It might help you to enhance your
machine learning and AI skill. If you have any suggestions or
queries, please leave a comment in our comment section. Also, if
you like this article, you can share it with your friends and
family via Facebook, Twitter, Pinterest, and
LinkedIn.[15]
References
- ^
Artificial Intelligence vs Machine
Learning: 15 Interesting Facts To Know
(www.ubuntupit.com) - ^
Top 20+
Best AI and Machine Learning Courses in 2020
(www.ubuntupit.com) - ^
Top 20
Best Artificial Intelligence and Machine Learning Projects in
2020 (www.ubuntupit.com) - ^
Top 20
Best AI and Machine Learning Software and Frameworks in 2020
(www.ubuntupit.com) - ^
R
programming language (www.ubuntupit.com) - ^
Python
(www.ubuntupit.com) - ^
machine
learning algorithms and techniques
(www.ubuntupit.com) - ^
best AI
and Machine Learning courses
(www.ubuntupit.com) - ^
Quora
(www.quora.com) - ^
Top 20
Best Artificial Intelligence and Machine Learning Projects in
2020 (www.ubuntupit.com) - ^
machine learning datasets
(www.ubuntupit.com) - ^
GitHub
(github.com) - ^
Kaggle Kernels
(www.kaggle.com) - ^
10
GitHub Alternatives for Hosting your Open Source Projects
(www.ubuntupit.com) - ^
interview questions of machine
learning (www.ubuntupit.com)
Artificial intelligence (AI) is a board concept, and this
emerging field has been growing and evolving continuously. So, the
newcomers or beginners face problems to start their journey in
artificial intelligence. They become confused about how to learn
artificial intelligence easily. Also, beginners don’t understand
how they will adopt artificial intelligence to their computer-based
system or robot to make them intelligent similar to human
intelligence.
The main goal of artificial intelligence or machine
learning[1] is to develop a machine
or system such a way that it can think, act, perceive as the human
brain can. In the forthcoming year, artificial intelligence will
dominate our workplace, which will decrease the need for the human
workforce.
How To Learn Artificial Intelligence
Artificial intelligence (AI) mimics human intelligence.
The CEO of DataRobot, Jeremy Achin,
defines AI: “An artificial intelligence is a computer system that
can able to perform a task as a human can perform. The AI can be
powered by deep learning, machine learning[2], and rule-based
approach.” Below we provide a guideline for beginners to learn
artificial intelligence.
Step 1. Learn a Programming Language
Can a
machine think, or can a machine act intelligently as a human? Yes,
a machine can. If we employ artificial intelligence into this
machine. To employ AI in an artificial intelligence or machine learning
project[3], a beginner must have to
know a programming language very well. He must know the syntax,
method, libraries, and packages of that programming
language.
A programming language is a set of instructions that
produces the desired output. Several programming languages,
frameworks, and machine learning software are
available in the market. A developer can use any programming
language based on his preference and system
requirements.[4]
AI researchers have designed several programming languages
to develop an artificial intelligence project. A beginner or
fresher can learn R programming
language, MatLab, Java, Python[6], Julia, Prolog, Haskell,
Lisp, C++, and so forth to develop his project. One can develop his
project effortlessly by using these programming
languages. [5]
Step 2. Refresh Your
Fundamental Knowledge
Artificial intelligence is such a board umbrella that
encompasses many other areas like mathematics, statistics, machine
learning, and many more. For this, a fresher must have to refresh
his fundamental knowledge. He/ she must have to know mathematical
terms, i.e., algebra and statistics techniques, i.e., standard
deviation, distributions, probability theory, and machine learning algorithms and
techniques.[7]
Step 3. Learn from Best
Courses
The beginners
are always confused or irritated about how will they start their
journey of learning. They always search in google how to learn
artificial intelligence. We addressed this question in one of the
previous articles. You may read it: the best AI and Machine Learning
courses[8].
These courses are for everyone. By completing these useful
courses, you may understand the common AI terminology like machine
learning (ML), artificial neural networks (ANN), data science, and
deep learning. Also, you will learn the theoretical background of
artificial intelligence and how to build an AI project. Moreover,
you will able to work with an AI team by accomplishing this
course.
Step 4. Learn from Best
Books
If you want to learn
something new, then the book is the best option for you rather than
any other media like YouTube videos or articles. Several books are
written on artificial intelligence. To boost up your artificial
intelligence knowledge, you may read this book: Artificial
Intelligence: A Modern Approach. This one of the best books
for any beginner.
Besides this, several books are also available such as
Artificial Intelligence: A Guide for Thinking Humans by Melanie
Mitchell, Artificial Intelligence: A New Synthesis by Nils J.
Nilsson, Life 3.0 – Being Human in the Age of Artificial
Intelligence by Max Tegmark.
Step 5. Useful Resources form
Quora
If you are searching how to learn artificial intelligence,
then we must say your search ends here. In this article, we try to
capture several ways of learning artificial intelligence.
You may get useful resources from Quora[9]
to learn artificial intelligence like what is
AI?, future of artificial intelligence, the best way to
learn AI for beginners, how does AI work? prerequisites for
learning artificial intelligence and many more.
Step 6. AI Project
While learning, it is crucial to gain theoretical
knowledge as well as practical knowledge. To employ your
theoretical knowledge practically, you should pick an artificial
intelligence project. We have listed the best
artificial intelligence and machine
learning projects[10] for your convenience.
These projects will help you to boost up your skills.
To develop an artificial intelligence project, first, you
have to pick a problem. Then, you have to find out a solution for
this problem. Solving this problem also helps you to get engage
with machine learning techniques deeply. After getting a solution,
you have to try to find out an optimum solution for this
problem.
Then, you have to code your solution using any programming
language. Also, you need a noise-free and standard dataset to train
and test the system. If you need any dataset, you may read
this machine learning datasets
article. In this article, we outlined the datasets download
link for your convenience. [11]
Step 7 – Project Evaluation
Evaluation is such a process that examines the performance of a
system. That means how much a system gives an accurate result with
the actual output. After developing an AI project, you have to
evaluate your project with the actual output. If you get less
accuracy, then you have to check out your logic again and again.
And you must have to change the logic or initial solution according
to your requirements.
Step 8 – Implementation
of Assessment
After modifying your logic, you have to write down code for the
modified section. Finally, you have to evaluate your program again.
If it gives a better result than before, then your journey of the
coding ends here. Now, you can go to step 8. Otherwise, you have to
modify your logic again. You have to modify your code until you get
a satisfactory result.
Step 9
– Share Your Code
Sharing is the best way of learning. If you share your
knowledge with others, you can learn from others. You may share
your code on GitHub[12], Kaggle Kernels[13], or other
GitHub alternative sites. If you
share your code, then you can get feedback on your solution. It
will help you to learn, and also it will help you to make your
program efficient and accurate. And, thus, it will help you to get
a satisfactory result from your computer-based system.
[14]
Moreover, you may write documentation for your artificial
intelligence project. Then finally, you can publish a research
paper based on your project.
Ending Thoughts
The field of artificial intelligence is a cutting edge
trend. If you are a computer science student, then you must have to
know how to learn artificial intelligence. By learning artificial
intelligence, you will enter the core of computer science. It
mimics the human brain. Artificial intelligence enables a
computer-based system or robot to perceive and act like a human. If
you are unaware of the techniques of artificial intelligence and
machine learning, then you are a backdated person in this
technology-driven world. Because artificial intelligence spreads
over our day to day life.
If you are a beginner in this field, you go through our
previous article that is about interview questions of machine
learning. It might help you to enhance your
machine learning and AI skill. If you have any suggestions or
queries, please leave a comment in our comment section. Also, if
you like this article, you can share it with your friends and
family via Facebook, Twitter, Pinterest, and
LinkedIn.[15]
References
- ^
Artificial Intelligence vs Machine
Learning: 15 Interesting Facts To Know
(www.ubuntupit.com) - ^
Top 20+
Best AI and Machine Learning Courses in 2020
(www.ubuntupit.com) - ^
Top 20
Best Artificial Intelligence and Machine Learning Projects in
2020 (www.ubuntupit.com) - ^
Top 20
Best AI and Machine Learning Software and Frameworks in 2020
(www.ubuntupit.com) - ^
R
programming language (www.ubuntupit.com) - ^
Python
(www.ubuntupit.com) - ^
machine
learning algorithms and techniques
(www.ubuntupit.com) - ^
best AI
and Machine Learning courses
(www.ubuntupit.com) - ^
Quora
(www.quora.com) - ^
Top 20
Best Artificial Intelligence and Machine Learning Projects in
2020 (www.ubuntupit.com) - ^
machine learning datasets
(www.ubuntupit.com) - ^
GitHub
(github.com) - ^
Kaggle Kernels
(www.kaggle.com) - ^
10
GitHub Alternatives for Hosting your Open Source Projects
(www.ubuntupit.com) - ^
interview questions of machine
learning (www.ubuntupit.com)
Read more https://www.ubuntupit.com/how-to-learn-artificial-intelligence-a-comprehensive-guide/
