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Machine Learning: Black Magic to Science : A gentle introduction to Machine Learning

What is it all about? Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look. Essentially, it is a method of teaching computers to make and improve predictions based on some data. Artificial intelligence is a state of machine when it can take decisions just like a human. The hypothesis is basic, machines take information and ‘learn’ for themselves. Machine learning is a subset of AI. In the previous decade, machine learning has given us self-driving automobiles, common-sense discourse acknowledgment, and an enhanced comprehension of the human genome. Machine learning is so unavoidable today that you most likely utilize it many times each day without knowing it. This blog has been divided into three parts written by me, Shivansh Beohar and Shashwat Srivastava respectively: The Road Mo...

Machine Learning Series ( Part 1 )

Machine Learning is Fun! The world’s easiest introduction to Machine Learning Update: This article is part of a series. Check out the full series: Part 1 , Part 2 , Part 3 , Part 4 , Part 5 , Part 6 , Part 7 and Part 8 !  Bigger update: The content of this article is now available as a full-length video course that walks you through every step of the code . You can take the course for free (and access everything else on Lynda: Online Courses, Classes, Training, Tutorials free for 30 days) if you sign up with this link . Have you heard people talking about machine learning but only have a fuzzy idea of what that means? Are you tired of nodding your way through conversations with co-workers? Let’s change that! This guide is for anyone who is curious about machine learning but has no idea where to start. I imagine there are a lot of people who tried reading the wikipedia article , got frustrated and gave up wishing someone would just give them a high-level explanation. Th...