Here are some Good Learning Resource I found from the Internet. In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep neural networks, most commonly applied to analyzing visual imagery.

The goal of the machine learning algorithm would be to find such values of parameters, so the output of the model is as close to the observated values as possible.

While True Learn() is a puzzle/simulation game introducing machine learning. I think this game is trying to make you interested in machine learning by giving you random Machine Learning knowledge.

The goal of the machine learning algorithm would be to find such values of parameters, so the output of the model is as close to the observated values as possible.

In mathematics, a tensor is an algebraic object that describes a relationship between sets of algebraic objects related to a vector space. Objects that tensors may map between include vectors and scalars, and, recursively, even other tensors.

Clustering is about grouping data points together based on similarities among them and difference from others. Cluster Analysis is a great starting point but rarely the sole method used for drawing conclusions.

In statistics, the logistic model is used to model the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick. This can be extended to model several classes of events such as determining whether an image contains a cat, dog, lion, etc.

In statistics, linear regression is a linear approach to modeling the relationship between a scalar response and one or more explanatory variables. The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression.

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Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is related to data mining and big data.