Sparsity and density - Study guides, Class notes & Summaries

Machine Learning Final Exam With all Answers complete According to the formal definition of machine learning, "A computer program is said to learn from _______ with respect to some class of _______ and performance measure P, if its performance at ________, as measured by P, improves with __________". Sparsity and Density Example of a regression problem Example of a classification problem Min-Max Normalization Decimal Scaling Discretization Reasons to discretize data (3) ...

According to the formal definition of machine learning, "A computer program is said to learn from _______ with respect to some class of _______ and performance measure P, if its performance at ________, as measured by P, improves with __________". correct answers experience (E), tasks (T), tasks (T), experience (E) Sparsity and Density correct answers Data sparsity and density describe the degree to which data exists for each feature of all observations. So if a table is 80% dense, then 2...

3 Vs - Correct Answer-Three basic characteristics of Big Data databases: volume, velocity, and variety. abstract data type (ADT) - Correct Answer-Data type that describes a set of similar objects with shared and encapsulated data representation and methods. A(n) is generally used to describe complex objects. See also class. ad hoc query - Correct Answer-A "spur-of-the-moment" question. alias - Correct Answer-An alternative name for a column or table in a SQL statement. ALTER TABLE ...

3 Vs - Correct Answer-Three basic characteristics of Big Data databases: volume, velocity, and variety. abstract data type (ADT) - Correct Answer-Data type that describes a set of similar objects with shared and encapsulated data representation and methods. A(n) is generally used to describe complex objects. See also class. ad hoc query - Correct Answer-A "spur-of-the-moment" question. alias - Correct Answer-An alternative name for a column or table in a SQL statement. ALTER TABLE ...