Octave for Data Scientists

Name: Octave for Data Scientists
Rating: 3.4 (23 reviews)

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

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 sections • 57 lectures • 6h 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
Basic Operations5:25
Variables6:53
Variables Continued2:35
Operators5:09
Comparison Operators6:39
Boolean Operators7:56
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
Usage of Continue Statement2:01
Introduction-Functions1:40
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
Returning From a Function11:47
Example with Trignometric Function6:22
Matrix Calculation with Functions11:20
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

Introduction to Octave Advanced Options5:56
Introduction for Matrices7:03
Various Matries Manipulation10:34
Operations on Complex Variables2:11
Mathematical Functions9:19
Concept of Helper Functions9:55
Understanding Floor Function5:46
This lecture explains how Octave's floor, ceil, round, and fix functions transform numbers, including negative inputs, and demonstrates sums, products, and absolute values, with brief notes on complex numbers.
Plotting a Graph in Octave5:39
High Level Plotting5:14
Plot YY Function7:52
Functions of Bar Graph4:45
Parameter of Stem Graph9:16
Matrix Manipulation8:03
Contour Graph with Example7:19
Creating Error Graph7:38
Create an error graph in Octave for data scientists by plotting sine x with error bars, configuring axes, and exploring semi log, log, log-log, and polar plots.
Creating Polar Function10:12
Concept of Feather Graph5:11
Explore the feather graph that plots the components of a vector field from equidistant x-axis points, using z = u + iv to show real and imaginary parts.
Two Dimensional Functional11:07
Explore two-dimensional function plotting in Octave using function handles or strings, set x and y limits with the F block, and visualize trig, polar coordinates, and geometric shapes.
Dimensional Geometric Shapes5:02
Three Dimensional Plots7:59
Making a Surface Plot11:24
Functions of Ez Plot311:00
Understanding Geometric Shapes6:10
Displaying Multiple Plots4:23
Multiple Plot Windows6:01
Open multiple figure windows, plot sine and cosine waves across ranges, use figure(n) to manage windows, and use hold on/hold off to overlay plots.
Concept of Plot Annotations9:45
Using Print Command7:49
Octave Scripts5:50
Input and Displaying Input7:32
Interacting with User7:39
Write Octave scripts that interact with the user, obtain matrix dimensions, create a random matrix, and display its minimum value.
Plotting Graph Using Script3:08
Implementation of Statements5:15
Explore how to implement statements in Octave for data scientists, including if, for, and switch constructs, and how to use prime number checks and display logic.
For a Looping Structure7:39
Creating Looping Structure6:02
Understanding Exception Handling7:30
Creating Octave Function4:28
Implementing with Octave Function4:32

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:

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

Octave for Data Scientists

What you'll learn

Explore related topics

Course content

Octave Neural Network for Beginners20 lectures • 2hr 3min

Octave Neural Network - Advanced37 lectures • 4hr 22min

Requirements

Description

Who this course is for: