If you are keen to know the theory behind the algorithms and how they work, Knowing Below mentioned mathematical chapters and having knowledge of Python programming language is advantageous. Also Read:What is Machine Learning in Artificial Intelligence and What are it’s applications? Machine learning mathematics foundation Calculus Statistics probability theory Read more…
Division of data sets: Training set – Learn the sample data set and build a model by matching some parameters, mainly for training the model. An analogy to the problem solving before the postgraduate study. Validation set – For the learned model, adjust the parameters of the model, such as selecting Read more…
Classification: Divide instance data into appropriate categories. Application example: Determine whether the website is hacked (two classifications), automatic recognition of handwritten digits (multi-classification) Regression: mainly used to predict numerical data. Application examples: forecasting of stock price fluctuations, housing price forecasts, etc. Supervised learning: The value of the target variable must Read more…
What is Machine Learning? Machine Learning is the use of computers to highlight the true meaning of the data, in order to convert the unordered data into useful information. It is a multi-disciplinary subject involving many disciplines such as probability theory, statistics, approximation theory, convex analysis, and algorithm complexity theory. Specializing in Read more…