The 6 Branches of Artificial Intelligence

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6 BRANCHES OF ARTIFICIAL INTELLIGENCE
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Branches of Artificial Intelligence
Natural Language Processing
Machine Learning
Deep Learning
Robotics
Expert Systems
Fuzzy Logic
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DEEP LEARNING

• Deep Learning is the process of applying neural
  networks to high dimensional data in order to
  derive insights and create solutions. Deep
  Learning is an advanced field of Machine Learning
  that can be used to solve more advanced problems.
• The face verification algorithm on Facebook,
  autonomous vehicles, virtual assistants like Siri
  and Alexa, and other systems operate using deep
  learning.

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MACHINE LEARNING

• Machine Learning is a highly demanding branch of
  Artificial Intelligence.
• It is the science that makes it possible for
  computer systems and other machines to process,
  examine, and interpret data in order to find
  solutions to the challenges that actually exist
  in the world.
• Under Machine Learning there are three
  categories
• 1. Supervised Learning
• 2. Unsupervised Learning
• 3. Reinforcement Learning

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NATURAL LANGUAGE PROCESSING

• It can be quite difficult to communicate with
  someone who doesn't speak your language, and the
  same is true when people try to communicate with
  a computer system. A computer can only understand
  binary digits, thus it will have trouble
  understanding words.
• The development of Natural Language Processing
  in
• computer science is a result of this
  problem.
• NLP is broadly defined as the automatic
  manipulation of natural language, like speech and
  text, by software.

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ROBOTICS

• A branch of artificial intelligence called
  robotics uses computer science, mechanical
  engineering, and electrical engineering to
  design, build, and use robots.
• Robots are used to assist humans with tedious and
  heavy tasks. Controlling computer systems,
  transforming information, and making cars are
  among these activities.
• It is used by NASA to move heavy objects in space.

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EXPERT SYSTEMS

• Expert Systems is an Artificial Intelligence
  (AI)-based system that mimics and learns how
  humans make decisions.
• It is primarily utilised in the medical industry
  to run medical facilities and find viral
  diseases. For the study of loans and investments,
  it is also used in the banking industry.

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FUZZY LOGIC

• It can be challenging to determine if a condition
  is true or false in the actual world, and fuzzy
  logic provides the necessary flexibility for
  thinking that can result in inaccuracies and
  uncertainties of any condition.
• Fuzzy logic is used in the medical fields to
  solve complex problems that involve decision
  making.
• They are also used in automatic gearboxes,
  vehicle environment control and so on.

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