What is Bayes Theorem? - Machine Learning Interview Questions - DataMites

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Bayes theorem in basis for many machine learning algorithm, P(c/x) P(x/c)*P(c)/P(x) Popularly used #Naive #Bayes Machine Learning algorithm is used for Text classification. One of the common question is "What is Bayes Theorem?" watch this video to understand this question and how to explain in the interview. If you are looking for Course Details please visit: https://datamites.com/ You can learn business statistics, tableau, deep learning, data mining etc,..


Can We Apply Linear Regression to Non-linear Data? - Machine Learning Interview Questions

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One of the common question is "Can we apply #Linear #Regression to #Non-linear data?" watch this video to understand this question and how to explain in the interview. If you are looking for Course Details please visit: https://datamites.com/ You can learn business statistics, tableau, deep learning, data mining etc,..


Types of machine learning algorithms en.proft.me

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Regardless of whether the learner is a human or machine, the basic learning process is similar. Machine learning algorithms are divided into categories according to their purpose. There are lots of overlaps in which ML algorithms are applied to a particular problem. As a result, for the same problem, there could be many different ML models possible. So, coming out with the best ML model is an art that requires a lot of patience and trial and error.


Types of machine learning algorithms en.proft.me

#artificialintelligence

Regardless of whether the learner is a human or machine, the basic learning process is similar. Machine learning algorithms are divided into categories according to their purpose. There are lots of overlaps in which ML algorithms are applied to a particular problem. As a result, for the same problem, there could be many different ML models possible. So, coming out with the best ML model is an art that requires a lot of patience and trial and error.


Seeds of Machine Learning - SageORB

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Machine learning is one of the most powerful forces in technology. Its development is shaping the forefront of the future in industries in artificial intelligence. Machine learning refers to the automated process by which machines extract meaningful patterns in data. Without machine learning, artificial intelligence as we know it wouldn't be possible. In 1959, MIT engineer Arthur Samuel coined the term "machine learning" and described machine learning as a "Field of study that gives computers the ability to learn without being explicitly programmed."