Robotics
and Machine Learning
•Robotics is a branch of engineering that involves the
conception, design, manufacture, and operation of robots. This field overlaps
with electronics, computer science, artificial intelligence, mechatronics, nanotechnology and
bioengineering.
•These technologies are used to develop machines that can
substitute for humans and replicate human actions. Robots can be used in any
situation and for any purpose, but today many are used in dangerous
environments (including bomb
detection and de-activation), manufacturing processes, or
where humans cannot survive. Robots can take on any form but some are made to
resemble humans in appearance.
•Robots must never harm human
beings.
•Robots must follow instructions
from humans without violating rule 1.
•Robots must protect themselves
without violating the other rules.
Introduction
to Machine Learning
What
is Machine Learning?
Machine Learning is the science of
getting computers to learn and act like humans do, and improve their learning
over time in autonomous fashion, by feeding them data and information in the
form of observations and real-world interactions.
Machine
Learning Basic Concepts
There
are many different types of machine learning algorithms, with hundreds
published each day, and they’re typically grouped by either learning style (i.e.
supervised learning, unsupervised learning, semi-supervised learning) or
by similarity in form or function (i.e. classification, regression, decision tree,
clustering, deep learning, etc.). Regardless of learning style or function, all
combinations of machine
learning algorithms consist of the
following:
•Representation (a set of classifiers or the language that a computer
understands)
•Evaluation (aka objective/scoring function)
•Optimization (search method; often the highest-scoring classifier,
for example; there are both off-the-shelf and custom optimization methods used).
Machine
Learning Vs Artificial Intelligence
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