Wednesday, January 30, 2019

Mastering Machine Learning (ML) with Python

Machine Learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Evolution of Machine Learning
Because of advances in technology, machine learning of the past is not what it is today. Machine Learning was born from pattern recognition and the theory that computers can learn without being programmed to perform specific tasks; researchers interested in artificial intelligence wanted to see if computers could learn from data. The iterative aspect of machine learning is important because as models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results. It’s a science that’s not new – but one that has gained fresh momentum.
While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development.
Some of the widely publicized examples of machine learning applications you may be familiar with:
  • The very familiar, self-driving Google car, which includes the essence of machine learning.
  • Online recommendation offers such as those from Amazon and Netflix, which makes use of Machine learning applications for everyday life.
  • Knowing what customers are saying about you on Twitter. This involves Machine learning combined with linguistic rule creation.
  • Fraud detection, which is one of the more obvious, important uses in our world today.
Mastering Machine Learning 
So how does a newcomer with limited knowledge of Machine Learning and Python go about to becoming a knowledgeable practitioner quickly, while using freely available materials and resources along the way.  Here is an excellent article for doing just that in 7 Steps to Mastering Machine Learning with Python. Thanks to  Matthew Mayo, Machine Learning Researcher & Editor at KDnuggets.
If you enjoy this article and the resources highlighted, feel free to share your experiences and resources you have found useful for Machine Learning in the comments below.
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