Geotechnical EARTH

MathWorks MATLAB R2025b v25.2.0.2998904 x64 [14.38 GB] ... MATLAB is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models.

Teacher: Tod Vachev - Language: English - Duration: 9 hours and 55 minutes - Number of Videos: 100.

What you will learn in the course:  Variables: Everything you need to know about variables in MATLAB, their types or lack of types, conversion between different types, naming conventions, semicolon operator and more.

Basic computational operations in MATLAB: The most important thing in this part of the course are the brackets and the order of operations. Many beginners get confused when dealing with complex expressions and you will become a master.

Vectors: Immediately after that, starting with vectors, we move on to deeper topics. You will learn how to think vectorially and perform a variety of operations on and with vectors. Connecting vectors, extracting or selecting subvectors, and more.

Matrices: Matrices are the next section, but you don’t need any pills because I cover everything for you. You will learn everything you need to work with matrices in MATLAB, and in this section you will learn a trick that will help you optimize your code and make it run up to 100 times faster.

Data Visualization: Because, well, what’s the point of working with data if you can’t understand it or share it with others, so data visualization is key in any field of work.

And finally we get to real MATLAB programming using conditional statements, loops, and functions to control code flow, write less code, and make your code modular.

Peter I. Kattan - 290 pages - Language: ‎English - Publisher: PetraBooks; (December, 2013).

This book is written for beginners and students who wish to learn MATLAB. One of the objectives of writing this book is to introduce MATLAB to students in high schools. The material presented is very easy and simple to understand -- written in a gentle manner. 

Kamal I. M. Al-Malah - 592 pages - Language: ‎English - Publisher: ‎Wiley; (October, 2023).

Machine and Deep Learning Using MATLAB introduces early career professionals to the power of MATLAB to explore machine and deep learning applications by explaining the relevant MATLAB tool or app and how it is used for a given method or a collection of methods. Its properties, in terms of input and output arguments, are explained, the limitations or applicability is indicated via an accompanied text or a table, and a complete running example is shown with all needed MATLAB command prompt code. The text also presents the results, in the form of figures or tables, in parallel with the given MATLAB code, and the MATLAB written code can be later used as a template for trying to solve new cases or datasets. Throughout, the text features worked examples in each chapter for self-study with an accompanying website providing solutions and coding samples. Highlighted notes draw the attention of the user to critical points or issues.

Readers will also find information on: Numeric data acquisition and analysis in the form of applying computational algorithms to predict the numeric data patterns (clustering or unsupervised learning) + Relationships between predictors and response variable (supervised), categorically sub-divided into classification (discrete response) and regression (continuous response) + Image acquisition and analysis in the form of applying one of neural networks, and estimating net accuracy, net loss, and/or RMSE for the successive training, validation, and testing steps + Retraining and creation for image labeling, object identification, regression classification, and text recognition. Machine and Deep Learning Using MATLAB is a useful and highly comprehensive resource on the subject for professionals, advanced students, and researchers who have some familiarity with MATLAB and are situated in engineering and scientific fields, who wish to gain mastery over the software and its numerous applications.