Data Science: Machine Learning algorithms in Matlab

Data Science: Machine Learning algorithms in Matlab, available at $49.99, has an average rating of 3.7, with 29 lectures, 3 quizzes, based on 61 reviews, and has 555 subscribers.

You will learn about Pogramming in Matlab Classifier learner tool of MATLAB Use Machine Learning for personal purpose Make powerful analysis Know which Machine Learning model to choose for each type of problem Build an army of powerful Machine Learning models and know how to combine them to solve any problem Understand and implement latest researches by your own. This course is ideal for individuals who are Data Scientists or Machine Learning Algorithm Programmers or Neural network Researchers or Teachers or College Students or Entrepreneurs It is particularly useful for Data Scientists or Machine Learning Algorithm Programmers or Neural network Researchers or Teachers or College Students or Entrepreneurs.

Enroll now: Data Science: Machine Learning algorithms in Matlab

Summary

Title: Data Science: Machine Learning algorithms in Matlab

Price: $49.99

Average Rating: 3.7

Number of Lectures: 29

Number of Quizzes: 3

Number of Published Lectures: 26

Number of Published Quizzes: 3

Number of Curriculum Items: 32

Number of Published Curriculum Objects: 29

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will Learn

Pogramming in Matlab
Classifier learner tool of MATLAB
Use Machine Learning for personal purpose
Make powerful analysis
Know which Machine Learning model to choose for each type of problem
Build an army of powerful Machine Learning models and know how to combine them to solve any problem
Understand and implement latest researches by your own.

Who Should Attend

Data Scientists
Machine Learning Algorithm Programmers
Neural network Researchers
Teachers
College Students
Entrepreneurs

Target Audiences

Data Scientists
Machine Learning Algorithm Programmers
Neural network Researchers
Teachers
College Students
Entrepreneurs

In recent years, we’ve seen a resurgence in AI, or artificial intelligence, and machine learning.

Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts.

Google’s AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning.

Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.

Google famously announced that they are now “machine learning first”, and companies like NVIDIA and Amazon have followed suit, and this is what’s going to drive innovation in the coming years.

Machine learning is embedded into all sorts of different products, and it’s used in many industries, like finance, online advertising, medicine, and robotics.

It is a widely applicable tool that will benefit you no matter what industry you’re in, and it will also open up a ton of career opportunities once you get good.

Machine learning also raises some philosophical questions. Are we building a machine that can think? What does it mean to be conscious? Will computers one day take over the world?

This course will go from basics to advance. Step by step approach will make its easy to understand Machine Learning.

TIPS (for getting through the course):

Watch it at 2x.
Take handwritten notes. This will drastically increase your ability to retain the information.
Write down the equations. If you don’t, I guarantee it will just look like gibberish.
Ask lots of questions on the discussion board. The more the better!
Realize that most exercises will take you days or weeks to complete.
Write code yourself, don’t just sit there and look at my code.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Introduction

Chapter 2: Introduction of MATLAB

Lecture 1: Introduction of MATLAB

Lecture 2: Installing MATLAB / Octave.

Lecture 3: The MATLAB Environment.

Chapter 3: MATLAB basic Functions

Lecture 1: MATLAB Variables : Arithmetical & Logical Operations.

Lecture 2: MATLAB Calculations and Functions.

Chapter 4: Visualization

Lecture 1: Line Plots

Lecture 2: Annotating Graphs

Lecture 3: Vectors and Matrices

Chapter 5: Conditional statements : MATLAB programming

Lecture 1: For Loop, while loop and If-else statement.

Chapter 6: Overview of Linear Algebra.

Lecture 1: Introduction to section.

Lecture 2: Linear Algebra Theory – 1

Lecture 3: Linear Algebra Theory – 2

Lecture 4: Linear Algebra Theory – 3

Lecture 5: Moving Data Around

Lecture 6: Manipulation of DATA

Lecture 7: Computations on DATA

Chapter 7: Introduction to Machine Learning

Lecture 1: A brief Introduction to machine learning.

Lecture 2: Various types of Learning Algorithms.

Chapter 8: …………………………..SUPERVISED LEARNING………………………

Lecture 1: Introduction to section.

Chapter 9: Linear Regression Algorithm With Single Variable : Theory

Lecture 1: LR : Representation.

Lecture 2: LR : Evaluation

Lecture 3: LR : Optimization

Chapter 10: Linear Regression with single variable : Programming

Lecture 1: About Exercise

Lecture 2: Representation : plotting of data

Lecture 3: Evaluation and Optimization : Application out from first Learning Algorithm

Instructors

Geek Cafe
Right source of Knowledge.

Rating Distribution

1 stars: 7 votes
2 stars: 3 votes
3 stars: 15 votes
4 stars: 20 votes
5 stars: 16 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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