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Divya R

Student’s Rating 4.97/5

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Knowledge 94%
Speed 100%
Accuracy 99%
  • BioStatistics, Statistics & Probability (Matlab, MINITAB, EXCEL, R, JMP etc)

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Neeraj K

Student’s Rating 4.93/5

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Knowledge 97%
Speed 95%
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  • BioStatistics, Statistics & Probability (Matlab, MINITAB, EXCEL, R, JMP etc)

Shubhendu M

Student’s Rating 4.96/5

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Knowledge 99%
Speed 96%
Accuracy 94%
  • BioStatistics, Statistics & Probability (Matlab, MINITAB, EXCEL, R, JMP etc)


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In my business stat class, I had to use MATLAB and to be frank I had no clue about it. I tried hard to learn it but it was something I would never use in my life, so I decided to get help from a tutor and I do not want to see MATLAB again :(

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I had a hard time learning advanced calculus and it became worse due to use of softwares like MATLAB. I acknowledge that it is very useful but I really see no point to learn it only for few marks. My tutor helped me do all my HW & I learned 60-70% of it just by seeing his steps. Time saver ✌🏻

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Best MATLAB Tutor

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At MEB, we have dependable and experienced MATLAB tutors helping students learn and master the MATLAB programming language. You can book the online MATLAB tutorials by our expert online tutors session-by-session or as a package. The online MATLAB tutoring sessions are affordable, value-for-money, and easy to book.

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  • MATLAB algorithms
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What is MATLAB?

MATLAB is a popular computational and programming platform used to analyze data, create forecast models, and develop algorithms. It is a proprietary programming language owned by MathWorks. On its own, it mainly supports numeric computing, and however, we can add more capabilities by bringing in additional external packages.

Simulink, an additional package, comes in handy for modeling, analyzing, and simulating multidomain dynamic systems with a graphical programming environment. Simulink offers a customizable set of block libraries and a graphical block diagramming tool in its primary interface. It has tight integration with the MATLAB environment. The MuPAD symbolic engine adds optional symbolic computing abilities.

MATLAB generates production-ready code that can integrate with business systems and data sources. This code can deploy directly to enterprise and cloud, and enterprise systems. Automatically convert MATLAB algorithms to HDL, C/C++, and CUDA code to run on embedded devices.

Statistics with MATLAB

MATLAB is an advanced statistical analysis with a numerical computing environment. The user shall use MATLAB programming language to use it. The MATLAB programming language is an easy coding and debugging programming language. It is beneficial and productive for engineers and scientists, focusing on mathematical and technical computing.

MATLAB is a powerful statistical tool used by statisticians and data analysts.

It is helpful for clustering for exploratory data analysis, descriptive statistics, and visualizations. MATLAB supports generating random numbers for Monte Carlo simulations, fitting probability distributions based on data, and performing hypothesis tests.

You may want to learn the basics of statistics or brush up on the advanced topics you already know. Please visit our online statistics tutoring page to get help with learning statistics from top tutors.

Applications of MATLAB

  • Designing, testing, and simulation of automated driving systems
  • Simulating transport systems, power systems, and electric grids
  • Algorithm development by acquiring, processing, and analyzing photos and videos
  • Analyze, model, and visualize biological data and systems for computational biology
  • Predictive maintenance by developing and deploying condition monitoring
  • Machine Learning by parameter tuning and model training
  • Gain insights from the Internet of Things by connecting embedded devices

Where is MATLAB used?

The following industries and applications extensively use MATLAB:

  • Physics – Acquiring and analyzing data, running controlled experiments, and comparisons with simulations
  • Biological Sciences – Analyzing, simulating, and modeling biological systems
  • Atmospheric, Earth, and Ocean Sciences – Understanding and analyzing complex geological trends
  • Neuroscience – Processing and analyzing data, conducting experiments, and simulating models of brain circuits
  • Semiconductors – for designing digital, analog, and mixed-signal devices
  • Medical Devices – biomedical data analysis, patient monitoring, and medical device development
  • Automotive – electric vehicles and automated driving
  • Software and Internet – develop algorithms, explore and analyze data, and deploy applications
  • Biotech and Pharmaceutical – drug discovery and development by performing modeling and simulation
  • Electronics and communications – design, develop, simulate and test systems and devices
  • Quantitative Finance and Risk Management – machine learning and modeling risk management
  • Energy Production – big data analysis and process automation
  • Industrial Automation and Machinery – develop embedded signal processing and control applications for energy sector equipment and industrial machines

MATLAB capabilities

  • Cloud computing
  • Embedded code generation
  • Discrete-event simulation
  • GPU computing
  • Model-based design
  • Hardware support
  • Parallel computing
  • Model deployment
  • Physical modeling
  • Report generation
  • Real-time testing and simulation
  • Systems engineering
  • Validation, verification, and test
  • Desktop and web deployment

MATLAB textbooks

  1. MATLAB for Engineers by Holly Moore. Publisher – Pearson
  2. MATLAB – A Practical Introduction to Programming and Problem Solving by Stormy Attaway Ph.D. Boston University. Publisher – Butterworth-Heinemann
  3. MATLAB – An Introduction with Applications, An Introduction with Applications by Amos Gilat. Publisher – Wiley
  4. MATLAB for Engineering Applications by William Palm. Publisher – McGraw-Hill Higher Education
  5. Applied Numerical Methods with MATLAB for Engineers and Scientists by Steven Chapra. Publisher – McGraw-Hill
  6. Beginning MATLAB and Simulink – From Novice to Professional by Sulaymon Eshkabilov. Publisher – Apress
  7. MATLAB Programming for Engineers by Stephen Chapman. Publisher – Cengage Learning
  8. Fundamentals of data science with MATLAB – Introduction to scientific computing, data analysis, and data visualization by Arash Karimpour
  9. MATLAB Deep Learning – With Machine Learning, Neural Networks and Artificial Intelligence by Phil Kim. Publisher – Apress

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