Machine Learning Course Malaysia

Artificial Intelligence Complete Course: Machine Learning Course Malaysia

Machine learning is a subset of artificial intelligence, which uses computer algorithms from the main learning data and input information. In the machine learning models, we doesn’t need detailed programming, but we can change and improve their own algorithms to ensure it can self learning and improve!

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machine-learning-course-malaysia

Career opportunities for data science, large data and analysis are growing rapidly. This is one of the most sought after jobs in the technology sector today. If you are interested in changing your career path, determine the right way to study, or decide whether the certification is worth your time, this course will serve you – Artificial Intelligence – Machine Learning Course.

  • Understanding Machine Learning using Python 
  • Study deep intuition of Machine Learning models
  • Make accurate business predictions related to your field
  • Make complete powerful big data analysis
  • Create robust Machine Learning models with simple steps
  • Create strong added value to your business
  • Apply Machine Learning for daily purpose
  • Understand contents like Reinforcement Learning, Deep Learning & Artificial Intelligence Learning
  • Apply which Machine Learning model to choose for your problem in business purpose
  • Build an complete web of powerful Machine Learning models and know how to combine them to solve any problem

Started to Learn Machines Learning with simple steps today

Interested in creating Machine Learning models? Then this machine learning course is for you!

This  machine learning course contents has been written by two professional Data Scientists so that we can share our knowledge and help you learn Artificial Intelligence – Machines Learning theory, business algorithms and coding libraries in a just few simple way.

We will gradually to learn introduce machines to your world. With every tutorial you will develop new skills and improve your understanding of this challenging of these sub-field of Machine Learning -Data Science.

Learning machine-learning based learning or self improvement algorithms … In machine learning, computers start from the model and constantly tested by itself with trials and errors … and then it gives a meaningful vision in the form of classification, Forecast and grouping … There are two machine learning type: one ( supervised ) and the other ( unsupervised ) can not be controlled. Hereby, this process is a cumulative classification, … mining areas and data analysis used in the concept … in the unsustainable learning environment and we called it as Artificial neural networks (ANNs).

How real businesses are using machine learning

Big companies are investing in Artificial Intelligence – Machine learning Models… because they’ve seen positive Future for Marketing, management and problem solving.

Everyone wants to minimize losses and maximize profits for their business and related field. Artificial Intelligence – Machine learning Models and Learning Deep change the way we understand the software, making the computer more intelligent than ten years ago. As a result ofArtificial Intelligence – Machine learning Models and improvement methods for data analysis, data analysts and data scientists are increasingly using data to make informed decisions.

However, the Machine Learning course is come with practical exercises which are based on realistics live examples. So not only you going to learn the theory, but you will also get all the hands-on practice building your own useful models for your business machine learning models or personal machine learning models. As full bonus, this machine learning course includes Python complete code templates which you can download and use on your multiple projects. This Machine learning course is a must and exciting, at the same time we will fall deep into Machine Learning.

What is the target audience?

  • Web developers
  • Entrepreneurs
  • Hard-working individuals
  • People who want to build a business
  • Anyone interested in Machine Learning
  • Students who have at least high school knowledge in math and who want to start learning Machine Learning
  • Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
  • Anyone who are not with coding but who are interested in Machine Learning and want to apply it easily on datasets.
  • Any students in college who want to start a career in Data Science.
  • Any data analysts who want to level up in Machine Learning.
  • Someone line to become a Data Scientist.
  • Businessman who want to create added value to their business by using powerful Machine Learning tools

This is structured the Machine Learning following way:

Machine Learning Course Content:

  1. Applications of Machine Learning
  2. Why Machine Learning is the Future
  3. Recommended Anaconda Version
  4. Installing Python and Anaconda (MAC & Windows)
  5. Get the dataset
  6. Importing the Libraries for references
  7. Importing the Dataset / Big Data
  8. Python learners- summary classes & objects
  9. Missing Data
  10. Grouping Categorical Data
  11. Splitting the Dataset/Big Data into the Training sample
  12. Working Directory
  13. Data Preprocessing
  14. Logistic Regression
  15. Decision Tree Classification
  16. Random Classification
  17. Evaluating Classification Models Performance
  18. Artificial Neural Networks
  19. Convolutional Neural Networks

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