Cost of personal license for continuing my learning after my Machine Learning Coursera class ends?

How much would a personal license for continuing my own learning using Matlab cost me after my Machine Learning Coursera class ends early next year?

Abe Oswal

[e-mail]

Answer 1

[Walter Roberson]

If you are a student enrolled in a degree granting instituation (does not sound as if you are though) then you would be eligible for a Student license, starting from $US50 (but the bundle is a better deal.)

If you are not a student but will be using MATLAB for non-commercial purposes, then you may be eligible for a Home license, starting from $US150 https://www.mathworks.com/store/link/products/home/ML . Note that this cannot be used for publishing papers, or any commercial activity. Note that there are some toolboxes available to students that are not available to Home license.

Otherwise, if you will be doing any kind of commercial activity or will be publishing papers and are not eligible for student or Academic license, then you would need a Standard ("commercial") license, starting from $US2250 if I recall correctly.

[Abhay Oswal]

I am emrolled in Stanford University Coursera curriculum as a student, and have access to Standford's Matlab licence for my home assignments and exercises.

Could I qualify for $50 Student License? Also, what's the bundle pricing, and what all does it have over and above the basic package?

Abe

[Walter Roberson]

I do not know if you would qualify for a student license.

The bundle is described at https://www.mathworks.com/academia/student_version/details.html

MATLAB and Simulink Student Suite includes MATLAB, Simulink, and 10 of the most widely used add-on products for control systems, signal and image processing, statistics, optimization, and symbolic math.

• The following add-on products are included in MATLAB and Simulink Student Suite
• Control System Toolbox: Design and analyze control systems
• Data Acquisition Toolbox: Connect to data acquisition cards, devices, and modules
• DSP System Toolbox: Design and simulate signal processing systems
• Image Processing Toolbox: Perform image processing, analysis, and algorithm development
• Instrument Control Toolbox: Control and communicate with test and measurement instruments
• Optimization Toolbox: Solve standard and large-scale optimization problems
• Signal Processing Toolbox: Perform signal processing, analysis, and algorithm development
• Simulink Control Design: Compute PID gains, linearize models, and design control systems
• Statistics and Machine Learning Toolbox: Perform statistical modeling and analysis
• Symbolic Math Toolbox: Perform symbolic math computations