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Machine Learning Using Python Training for UWA Computer Science Students

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What is Python?

Python is a widely used, object-oriented, high-level programming language for general-purpose programming. Popular for its clear syntax and easy readability, it allows users to work more quickly than other programming languages.

Python is popular among programmers of all expertise, as experienced programmers pick up the Python language very quickly, and beginners find the clean syntax and indentation structure easy to learn.

Python can be used on any modern computer operating system and can complete a wide range of tasks, such as processing text, numbers, images, scientific data and just about anything else that can be saved on a computer.

Python is an interpreted language, meaning that it is not changed to computer-readable code before the program is run, but instead at runtime. Python, and scripting programming languages alike, have initiated a change in the industry and increasingly, large applications are written almost completely in Python. Some ways Python can be applied include:

·      Programming CGI for Web Applications

·      Working With Files

·      Building an RSS Reader

·      Reading from and Writing to MySQL and PostgreSQL

·      Creating Calendars in HTML

What is machine learning?

Machine learning is the science of getting computers to act without being explicitly programmed. It is a method of data analysis that uses algorithms to iteratively learn from data. Understanding machine learning has never been so important, with the increasing amount of big data and the importance placed on analyzing it. Machine learning aims to find patterns in big data, and then uses this knowledge to predict future patterns, without the need for human intervention and supervision.

Why should I study machine learning using Python training?

Machine learning is a must-have skill for all aspiring data analysts and data scientists, or anyone with an interest in using raw data to examine trends and make predictions. Big data, and the need to understand it, has never been as important in the business world as it is today, and thanks to its clarity, syntax and easy readability, Python has emerged as a strong contender for carrying out predictive analysis on big data.

With the increasing demand to extract meaning from large data sets using a wide variety of machine learning, data mining, and data science techniques, knowing the Python programming language is fundamental to business success.

Undertaking machine learning using Python training will give attendants the ability to carry out data processing and analysis, and the know-how to build analytical applications using Python.

What will I gain from machine learning using Python training?

Machine learning using Python training gives a comprehensive, hands on introduction on how to use the Python language and software to analyse data. 

Upon completion of machine learning using Python training, students will not only understand the importance of data analysis and why it so important in this age and time, but be able to:

·      Predict future outcomes and make sound business decisions by using Python language and machine learning.

·      Apply predictive algorithms to data.

·      Create accurate data science models and use Python libraries.

·      To use Python packages in data analysis applications.

1 Comment

  1. This article has been really helpful for my machine learning endeavours. Thanks for sharing.

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