The Blueprint for Developers to Get Started with Machine Learning - The New Stack

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Many developers (including myself) have included learning machine learning in their new year resolutions for 2018. Even after blocking an hour everyday in the calendar, I am hardly able to make progress. The key reason for this is the confusion on where to start and how to get started. It is overwhelming for an average developer to get started with machine learning.



10 Reasons to Learn Python in 2019 - DZone Big Data

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If you follow my blog regularly then you may be wondering why am I writing an article to tell people to learn Python? Didn't I ask you to prefer Java over Python a couple of years ago? Well, things have changed a lot since then. In 2016, Python replaced Java as the most popular language in colleges and universities and has never looked back. Python is growing big time.


Get started with machine learning using Python

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As with learning any new skills, the more you practice, the better you become. Practice different algorithms and work with different data sets to have a better understanding of machine learning, and to improve your overall problem-solving skills. Machine learning with Python is a great addition to your technical skillset, and there are lots of free and low-cost online resources available to help. How have you picked up machine learning skills? Leave a comment below, or submit an article proposal to share your story.


Best Programming Language for Machine Learning

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Machine learning is a growing area of computer science and several programming languages support ML framework and libraries. Among all of the programming languages, Python is the most popular choice followed by C, Java, JavaScript, and C#.