Mathematics For Programming | How Much Math Is Needed For Programming For Beginners | Simplicode
This video on mathematics for programming will give you an idea of how mathematics in programming is helping the invention of new and creative technologies. ...
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About this video
This video on mathematics for programming will give you an idea of how mathematics in programming is helping the invention of new and creative technologies. The video will also give you an idea about how much math is needed for programming for beginners and make you understand the role of mathematics in programming.
The topics covered in this video on mathematics for programming are:
00:00 Mathematics required for various types of programming
02:02 Role of mathematics in programming
05:09 Developments using mathematics in programming
7:00 Benefits of using mathematics in programming
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#MathematicsForProgramming #HowMuchMathIsNeededForProgramming #ProgrammingForBeginners #WhyYouNeedMathForProgramming #ProgrammingBasics #LearnProgramming #Simplilearn
In programming, mathematics is one of the essential tools to develop applications, and it holds a vital role in the development of applications efficiency. It is tough to create the application without taking the help of Mathematics; every application and development involves some part of mathematics. Mathematics in programming involves some major topics like Linear Algebra, Probability and Statistics, and many others.
Linear Algebra
Linear Algebra is one of the most critical domains of mathematics that often comes in programming. It is especially important for Data Scientists because matrices are widely used to represent data in any Machine Learning problem. Programmers should be thorough with various terms like matrix, vector, identity matrix, transpose, the inverse of a matrix, linear equations, linear transformation, etc.
Mathematical Induction
Mathematical Induction is extremely useful in programming. Almost any recursion-based problem can be modeled as an underlying mathematical induction problem. It refers to a data analysis process that the researcher reads and interprets raw textual data to develop concepts, themes, or a process.
Probability & Statistics
Probability is used for the domain of Machine Learning in programming. Probability and statistics show up all the time. The entire domain of machine learning is based on probability and statistics. Each Machine Learning algorithm is modeled by an underlying probability distribution that generates the observed data.
What is Programming?
Programming is an act of designing, developing, deploying an executable software solution to a given user-defined problem.
Programming involves the following stages.
- Problem Statement
- Algorithms and Flowcharts
- Coding the program
- Debug the program.
- Documentation
- Maintenance
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Duration
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Published
Feb 8, 2022
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