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Artificial Intelligence Algorithms | PDF
ARTIFICIAL
INTELLIGENCE
ALGORITHM
FOR-IAN V. SANDOVAL
Learning Objectives
➢ Differentiate Artificial Intelligence with Machine
Learning
➢ Determine the types of machine learning
➢ Identify the problems solved using Artificial
Intelligence Algorithms
➢ Classify Artificial Intelligence Algorithms
ARTIFICIAL INTELLIGENCE
ARTIFICIAL INTELLIGENCE
➢ Artificial Intelligence
is the science of
getting machines to
think and make
decisions like human
beings do.
➢ theory and
development of
computer systems
ARTIFICIAL INTELLIGENCE
➢ human intelligence
➢ visual perception
➢ speech
recognition
➢ decision-making
➢ translation
between
languages
ARTIFICIAL INTELLIGENCE
➢ Accomplished by
studying how human
brain:
➢ thinks
➢ learns
➢ decide
➢ work
ARTIFICIAL INTELLIGENCE
➢ Deep Learning ➢ Natural Language
Processing
AREAS OF AI CAN BE APPLIED
IMPORTANCE OF AI
➢ AI automates Repetitive Learning and discovery
through data.
➢ AI adds intelligence to existing products.
➢ AI adapts through progressive learning
algorithms to let the data do the programming.
➢ AI analyzes more and deeper data using neural
networks that have many hidden layers.
➢ AI achieves incredible accuracy through deep
neural networks
APPLICATIONS OF AI
➢ AI in Health Care
APPLICATIONS OF AI
➢ AI in Business
APPLICATIONS OF AI
➢ AI in Education
APPLICATIONS OF AI
➢ AI in Agriculture
APPLICATIONS OF AI
➢ AI in Media and Entertainment
APPLICATIONS OF AI
➢ AI in Autonomous Vehicle
APPLICATIONS OF AI
➢ AI for Robotics
APPLICATIONS OF AI
➢ Cyborg Technologies
DOMAINS OF AI
➢ Neural Networks
➢ Neural Networks
are a class of
models within the
general machine
learning literature
DOMAINS OF AI
➢ Robotics
➢ a branch of AI,
which is composed
of different
branches and
application of
robots
DOMAINS OF AI
➢ Expert System
➢ a computer system
that emulates the
decision-making
ability of a human
expert
DOMAINS OF AI
➢ Fuzzy Logic Systems
➢ an approach to
computing based on
“degrees of truth”
rather than the usual
“true or false” (1 or 0)
Boolean logic on
which the modern
computer is based
DOMAINS OF AI
➢ Natural Language Processing
➢ Machine translation
➢ Named Entity
Recognition
➢ Sentiment Analysis,
➢ Speech
Recognition
➢ Topic
Segmentation
AI Technologies
➢ Natural Language Generation
AI Technologies
➢ Speech Recognition
AI Technologies
➢ Face Recognition and Automatic Tagging
AI Technologies
➢ Virtual Agents / Virtual Assistant
AI Technologies
➢ Machine Learning
AI Technologies
➢ Deep Learning Platforms
AI Technologies
➢ Biometrics
AI Technologies
➢ Robotic Process Automation
AI Technologies
➢ Text Analytics and NLP
CLASSIFICATION OF AI
➢ AI system that is designed and trained for a
specific type of task.
➢ Also known as Narrow AI
➢ Weak AI
CLASSIFICATION OF AI
➢ Strong AI
➢ AI system with generalized human cognitive
abilities so that when presented with an
unfamiliar task, it has enough intelligence to find
a solution.
➢ Also know Artificial General Intelligence
TYPES OF AI
Type 1. Reactive Machines
➢ Deep Blue
➢ it has no memory and cannot use past
experiences to inform future ones.
➢ it has no memory and cannot use past
experiences to inform future ones.
TYPES OF AI
Type 2. Limited Memory
➢ AI systems can use past experiences to inform
future decisions.
➢ Most of the decision-making functions in the
autonomous vehicles have been designed
TYPES OF AI
Type 3. Limited Theory
➢ understanding that the other have in their own
beliefs and intentions that impact the decisions
they make.
➢ At present this kind of artificial intelligence does
not exist.
TYPES OF AI
Type 4. Self-awareness
➢ AI systems have a sense of self, have
consciousness.
➢ Machines with self-awareness understand their
current state and can use the information to infer
what others are feeling.
➢ This type of AI does not yet exist.

Artificial Intelligence Algorithms