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Friday, August 16, 2019

Learn MATLAB and Conquer Machine Learning with This Training Bundle | Civil Engineering - Interesting Engineering

Used in virtually every type of data-driven science—from physics and chemistry to engineering and robotics—MATLAB is a go-to resource for individuals and companies that want to gain valuable insights from seemingly complex data sets, reports IE Shop.

Photo: Interesting Engineering Shop 
It should come as no surprise that we’re living in the era of Big Data and machine learning—both of which act as the primary driving forces behind some of the most important and exciting Artificial Intelligence (AI) innovations of our time.

From self-driving cars and surgical robots to Google search algorithms and home automation systems, massive sets of data are being harnessed by both small startups and international conglomerates in order to alter the technological landscape and improve our lives, and our reliance on these technologies is only going to grow in the upcoming years.

This means that if you want to land the best and most important careers of both today and tomorrow, you need to have an understanding of how to work with and analyze massive data sets in order to build the products and services that will continue to alter the future...

The Essential MATLAB & Simulink Certification Training Bundle will help you learn MATLAB, one of the most powerful and renowned programs in the increasingly lucrative world of data science and machine learning, and the entire bundle is currently available for over 90% off at just $35.

What is MATLAB?
Used in virtually every type of data-driven science—from physics and chemistry to engineering and robotics—MATLAB is a go-to resource for individuals and companies that want to gain valuable insights from seemingly complex data sets.

It acts as a multi-paradigm numerical computing platform that integrates a wide range of visual interfaces with a series of programming languages (including C, C++, C#, Java, Fortran, Python, and more) in order to accurately predict future outcomes in disciplines ranging from science and engineering to economics and even the humanities.
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Source: Interesting Engineering