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Machine Learning MATLAB Essentials

Machine Learning MATLAB Essentials. MATLAB. High level language, designed for scientific and engineering computing MATLAB stands for “ MATrix LABoratory ” Operations on vectors and multi-dimensional arrays are a core strength of MATLAB Compact syntax

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Machine Learning MATLAB Essentials

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  1. Machine LearningMATLAB Essentials

  2. MATLAB • High level language, designed for scientific and engineering computing • MATLAB stands for “MATrixLABoratory” • Operations on vectors and multi-dimensional arrays are a core strength of MATLAB • Compact syntax • Efficient underlying implementations of matrix algebra • Rich libraries of mathematical functions • Statistics • Signal processing • Optimization • Machine learning

  3. MATLAB • Interpreted language, with built-in precompiled modules for compute-intensive operations • Great flexibility in programming • Interactive • Scripts • Functions (scripts with defined inputs and outputs) • Object-oriented programming • Supports complex, hierarchical data structures with mixed types • Easy to interface with C / C++ • Moderately loose typing • Good for both exploratory work and large-scale structured programming

  4. MATLAB • Ubiquitous vectorization • Vectorization: use of single-operator syntax to signify uniform application of the operator on all elements of one or several vectors and/or matrices • Circumvents need for explicit loops to process elements of vectors and matrices • Syntax very compact and highly readable, akin to mathematical formulae • Examples: add two matrices C = A + B; multiply matrix by scalar C = 2 * B; multiply two matrices C = A * B; logarithm of every element in matrix B = log( A );

  5. MATLAB • Powerful visualization capabilities • Histograms, bar charts • 2D and 3D line plots • 2D and 3D scatter plots • Heat maps • Contour plots • Mesh plots • Colored and shaded surface plots

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