“One of the hottest buzzwords in the past decade, Artificial Intelligence by definition is intelligence demonstrated by machines, as opposed to natural intelligence demonstrated by humans and other living creatures.”
“The process involving snipping, formatting and ordering the input data into the Machine Learning System is referred to as Data Cleansing”
“[In a Machine Learning context] visualizing data basically means taking the outputs from the Machine Learning System and turning them into readable and understandable human insight.”
“Machine Learning, often referred to as ML, is a sub-field of AI. The basic concept behind Machine Learning is creating a program not in order to solve a specific problem, but rather to improve with experience in a given task.”
“A Machine Learning model is the outcome of a specific Machine Learning algorithm that has run on specific training data.”
“A Machine Learning System is the highest level view point of the input-output black box. It’s the part that holds inside the Machine Learning Model, input data cleaning, output handling system and all the other pieces.”
“A family of Machine Learning algorithms, concerned with how software programs take actions to maximize a cumulative reward”
“Statistical Analysis is the branch of science that takes large amounts of data and then examines it in order to discover patterns and trends that may occur. In addition, Statistical Analysis usually handles the presenting of discovered conclusions in an understandable and often graphical way.”
“After we've transformed our problem into a mathematical representation, a Statistical Model will then apply a set of assumptions to it. This allows us to (theoretically) calculate the probability of certain events.”
“A type of Machine Learning algorithm, where the training data set includes the desired output for each of the input examples (labeled data) and so the algorithm learns to map an unseen input to an output”
“A type of Machine Learning algorithm, in which the training data contains only the inputs, and the algorithm has to find or learn a pattern in the data set”
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