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Machine Learning Basic Note

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Machine learning is important for several reasons: Improved Decision Making: Machine learning algorithms can analyze and process vast amounts of data, and identify patterns and trends that may not be easily identifiable by humans. This helps in making better decisions. Automation and Efficiency: Machine learning can automate repetitive tasks and improve efficiency by reducing the need for human intervention. This can save time and resources. Personalization: Machine learning can analyze customer data and behavior to provide personalized recommendations and experiences, which can lead to increased customer satisfaction and loyalty.

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Machine Learning Basics | What Is Machine Learning? | Introduction To Machine
Learning | Simplilearn
Simplilearn

Machines learn from their past experiences and machines follow instructions given
by humans but what if humans can train the machines to learn from the past data and
do what humans can do and much faster well that 's called machine learning but it
's a lot more than just learning it's also about understanding and reasoning so
today we will learn about the basics of machine learning. supervised learning uses
labeled data to train the machine and then there is reinforcement learning which is
a reward based learning or we can say that it works on the principle of feedback to
generalize machine learning model. The learning with unlabeled data is unsupervised
learning ,
so we saw supervised learning where the data was labeled. Siri asks how is machine
learning possible in today 's era well that 's because today we have humongous data
available everybody is online either making a transaction or just surfing the
internet. There are a lot of applications of machine learning out there to name a
few machine learning is used in healthcare where diagnostics are predicted for
doctor's review and fraud detection in the finance sector.

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