What is SVM?
Author(s): Dhilip Subramanian Originally published on Towards AI. Top highlight Machine Learning Support Vector Machine (SVM): A Simple Visual Explanation — Part 1 SVM is a supervised classification method that separates data using hyperplanes. SVM is a supervised machine learning algorithm is …
Bias-Variance Tradeoff Illustration Using Pylab
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. In statistics and machine learning, the bias-variance tradeoff is the property of a set of predictive models whereby models with a lower bias in parameter estimation have a higher variance of the …
Calculating the Backpropagation of a Network
Author(s): Javed Ashraf Originally published on Towards AI. A beginner’s guide to the math behind backpropagation Machine learning has become a trending topic for many programmers and companies to investigate & utilize. Though there are various frameworks and tools which help to …
Gradient Descent: In Layman Language
Author(s): Saikat Biswas Originally published on Towards AI. Introducing the most popular and most used optimization technique in 5 minutes Source: Unsplash Whenever we talk of Machine Learning, the word we hear a lot, need to know and reason about is the …
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90% of stories will be written by artificial intelligence by 2034 — Automation and storytelling – did a robot write this?
Author(s): Paul Wilshaw Originally published on Towards AI. Automation and storytelling — 90% of stories will be written by a bot by 2034: Automated and personalized news Gif (Wilshaw, 2019) How do you know what’s real, what’s fake and what’s a bot …
Surviving the Titanic disaster with the help of AI
Author(s): Riccardo Di Sipio Originally published on Towards AI. I’ve always been fond of the songs by Francesco De Gregori, one of the most famous Italian songwriters, who can be considered a local Bob Dylan’s epigone. In June 1982, when I was …
Importance of Choosing the Correct Hyper-parameters While Defining a Model
Author(s): Saikat Biswas Originally published on Towards AI. Source: Unsplash Hyper-parameter Optimization U+007C Towards AI Often considered the trickiest part of optimizing a machine learning algorithm. Correct hyperparameter tuning can save a lot of time and help deploy the ML model faster …
Best PhD Programs in Machine Learning (ML) for 2020
Top Universities to Pursue a Ph.D. with a Focus Area in Machine Learning Careers, Machine Learning, Education Best Ph.D. Programs in Machine Learning (ML) for 2020 These are the best universities to pursue a Ph.D. in machine learning Last updated on August 14, 2020 …