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Octave for Data Scientists
Rating: 3.4 out of 5(24 ratings)
181 students

Octave for Data Scientists

To understand the basics of Octave Neural Network such as running octave and getting started with basic commands, statem
Created byeduCode Forum
Last updated 3/2019
English
English [Auto],

What you'll learn

  • With this course you shall be learning Octave in a very simple yet effective manner wherein we actually code using examples and programmed in Linux ( Fedora 16) operating system. Below we have outlined all that you will learn through this course.
  • Learn about the basic commands, various data types, variables (storing variables) and operators.
  • Learn about if statement, switch statement, while statement, do while statement, do until statement, for statement and break/continue statement.
  • Understand defining a function, multiple return values and returning from a function.

Course content

2 sections57 lectures6h 25m total length
  • Introduction3:03

    Learn how GNU Octave enables numerical computing across platforms, featuring open-source, GPL licensed interactive syntax similar to MATLAB for solving linear and nonlinear equations, differential equations, and neural networks.

  • Installation2:24

    Learn to install GNU Octave on Windows and Linux from GPL-licensed packages, download the 4.0.0 installer, and run numerical computations across platforms.

  • Basic Operations5:25

    Discover basic Octave operations for data science, including declaring variables, creating and printing strings and matrices (such as a three-by-three matrix), generating random matrices, and performing matrix multiplication and transpose.

  • Variables6:53

    Learn octave data types, including strings and numeric objects, and how to declare data structures, matrices, and structures, plus variable naming rules and global variables in functions.

  • Variables Continued2:35

    Explore global variables in Octave by declaring a global x and using it inside a function without parameters to see how x propagates across calls.

  • Operators5:09

    Octave for data scientists introduces arithmetic, comparison, and boolean operators, covering addition, subtraction, multiplication, division, the power operator, element-wise dot multiplication, right division, exponentiation, and identity-matrix examples.

  • Comparison Operators6:39

    Explore comparison operators in Octave, including less than, less than or equal, equal to, greater than or equal, greater than, and not equal, with true or false outputs.

  • Boolean Operators7:56

    Explore boolean operators such as and, or, and not, and learn how true and false values affect expressions; master assignment operators, and increment and decrement operators, and operator precedence.

  • If and switch statement4:36

    Explore how octave uses if and switch statements to evaluate conditions, check whether a number is even using the remainder, print results, and structure multiple branches with case labels.

  • Looping7:08

    Explore looping concepts in octave, including while, do-until, and for loops, and learn to generate output such as the fibonacci sequence.

  • For Loop6:29

    Explore for loops in octave with simple syntax, condition checks, and real examples like Fibonacci sequences, prime checks, and breaking or continuing loops, plus vector printing and random numbers.

  • Usage of Continue Statement2:01

    Explore using a for loop in octave with the continue statement to skip odd numbers and print only even values from a vector, while rand generates random values.

  • Introduction-Functions1:40

    Explore how Octave uses functions to simplify numerical and complex calculations, define functions with arguments, and return multiple values using a matrix creation example.

  • Functions-Example5:19

    Define and call functions in Octave to print messages and return values with optional arguments. The lecture uses an example to print good morning and compute a vector average.

  • Calculations with Functions9:07

    Explore defining and calling functions in Octave, compute a vector average (sum divided by length), and implement input validation with error messages to handle non-vector inputs, missing arguments, and margins.

  • Returning From a Function11:47

    Explore returning from functions in Octave, including multi-value returns via a return list, using return and written statements, with examples of max value computation and vector traversal.

  • Example with Trignometric Function6:22

    Learn how to use trig functions in Octave, convert between radians and degrees, and compute sine values for scalars and vectors with clear examples.

  • Matrix Calculation with Functions11:20

    Master octave’s matrix functions to create and manipulate matrices, using identity, zeros, ones, diag, and size, and perform transpose, inverse, determinant, and rank computations.

  • Arrays and Vectors6:54

    Explore arrays and vectors in Octave, where a vector is a simple one-column matrix. Define vectors with square brackets or comma separated values, use semicolons for columns, and generate sequences with colon notation like 2:6 or 2:3:6.

  • Calculations with Functions Using Vectors10:12

    Learn how to create and manipulate vectors in octave, use 1-based indexing, range generation to build sequences, perform scalar and element-wise operations, and apply functions like sine to vectors.

Requirements

  • Basic Computer Knowledge
  • Passion to learn
  • Basic terminologies in coding
  • Internet and PC

Description

Basics of Octave Neural Network:

Working with neural networks can seem to be a scary task, even if you have some programming experience. There are many trainings and a lot of examples of what the neural network is and what it does. Many a times it is not explained the way it should be and makes it a little difficult to understand what’s going on, not to mention how to implement it in actual code.

With this course you shall be learning Octave in a very simple yet effective manner wherein we actually code using examples and programmed in Linux ( Fedora 16) operating system.
Below we have outlined all that you will learn through this course.

Section 1: Introduction- In this sections we are getting started with Octave wherein we would understand the basics, environment setup, running octave and getting started with basic commands.

Section 2: Basics- Here we start with the first step where we will learn about the basic commands, various data types, variables (storing variables) and operators.

Section 3: Statements- In this section we will cover if statement, switch statement, while statement, do while statement, do until statement, for statement and break/continue statement.

Section 4: Functions- here we are going to understand defining a function, multiple return values and returning from a function.


Advanced Concepts of Octave Neural Network:

Working with neural networks can seem to be a scary task, even if you have some programming experience. There are many trainings and a lot of examples of what the neural network is and what it does. Many a times it is not explained the way it should be and makes it a little difficult to understand what’s going on, not to mention how to implement it in actual code.

With this course you shall be learning Octave in a very simple yet effective manner wherein we actually code using examples and programmed in Linux ( Fedora 16) operating system.
Below we have outlined all that you will learn through this course.

1. Plotting
2. Matrix Manipulation
3. Arithmetic Operations like Trignometry
4. Set Operations
5. Image Processing
6. Audio Processing
7. Data Containers

Who this course is for:

  • Students
  • Professionals
  • People wanting to use Octave
  • System Administrators
  • School I.T. Professors