The Importance of Human Interpretable Machine Learning

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The Importance of Human Interpretable Machine
Learning

• Machine learning has advanced in science and
  technology, which calls for the interpretability
  of machine learning models. Several machine
  learning training programs can offer you insight
  into the deeper learning of the technology.
• We are currently surrounded by numerous
  applications that depend on machine learning, and
  our decision-making relies on it. Most often, we
  ask from daily to lifesaving questions like

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Which song do I like?How is the weather
like?What is the probability of me having a
health issue?Whom should I hire?
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So many of our questions are answered by
predictive models, which as users, many are not
aware of. Data scientists put focus on the
prediction accuracy of models, and machine
learning models do it. Machine learning
bootcamp can be a great place if you consider a
rewarding career in IT and looking for a skill
enhancement opportunity. So what are the reasons
for interpretable machine learning model? As we
advance, we would elaborate on the same.
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• Complex models are harder to decipher
• Algorithms are not easier to understand.
• This gives us a probability that is opaque and
  hard to interpret.
• Often there are numerous models and no onetoone
  relationship between input features and
  parameters. This affects the prediction.
• Data Scientists have a hard time figuring what
  they have learned from data sets and which data
  points have more influence on the outcome than
  others.

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Whoa!
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In machine, learning accuracy can be compared by
the output of the machine learning model to a
known actual value derived from the input data
set. For a model to achieve high accuracy, it
needs to memorize the unimportant patterns in
data sets. If there is a bias in the data set, it
affects the accuracy of the model. Eventually
leading to an outdated data set in a production
environment therefore, accuracy is not
sufficient.
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What is Machine Learning interpretability?
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It means giving explanations to end-user for
usability

• Understanding the main tasks that affect the
  result.
• Explaining the decisions made by an algorithm.
• Finding out the patterns learned by an algorithm.
• Being critical about the results.
• Exploring the unknown areas of the algorithm.

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• A picture is worth a thousand words

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A machine learning training camp can offer you
vast resources, an extensive curriculum, and
industry-trained mentors to guide you on the vast
subject.
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Usage of Interpretable Machine learning models

• Interpretability of machine learning is essential
  for data scientists to build models with great
  accuracy.
• Users rely on it to know they have a trustworthy
  web experience and are treated accurately,
  whether for shopping online or clicking ads on
  the web.
• Lawmakers use it for a fair and transparent
  system by protecting consumers.

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So, transparent, trustworthy, and explainable
machine learning models can help control data
sets used to train models. Data Scientists,
therefore, can control the assessment and
deployment factor.
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• Consider a Machine learning bootcamp to gain
  machine learning interpretable solutions and
  build agile projects. By opting for our Machine
  learning training, you are in for focused
  guidance and learning, dynamic hands-on project
  development, portfolio, and job assistance.
  Contact us today.

Source https//jenahaley54.medium.com/the-importa
nce-of-human-interpretable-machine-learning-e2b2b4
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