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 …
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 …
What is Machine Learning (ML)?
Learn what machine learning is, how it works and its importance in 5 minutes. Introduction to machine learning in simple terms… Intro to machine learning in simple terms, part I …
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 …
An Introduction to Time-series Analysis Using Python and Pandas
Author(s): Oscar Arzamendia Originally published on Towards AI. Assumptions Very recently I had the opportunity to work on building a sales forecaster as a POC. It was a challenging project with a cool MVP as an outcome, and through this post, I …
Real-time Vehicle Detection with 50 HD Frames/sec on an AMD GPU
Author(s): Rohit Sharma Originally published on Towards AI. Real-time Vehicle Detection U+007C Towards AI Real-time Vehicle Detection with 50 frames/sec of HD resolution What is Vehicle detection? Vehicle detection is a part of traffic surveillance methods in a live traffic feed that …
The Covariance and Correlation Clutter…
Author(s): Astha Puri Originally published on Towards AI. For the longest time, I remember being confused between these two devils — covariance and correlation. And the resemblance DID NOT help! 🙁 So here I am, writing my first post and making an …
A Gaussian Approach to the Detection of Anomalous Behavior in Server Computers
Author(s): Navoneel Chakrabarty Originally published on Towards AI. Let’s detect the anomaly… Anomaly Detection is a different variant of Machine Learning Problems that falls under Semi-Supervised Learning. It is Semi-Supervised because, in Anomaly Detection (also popularly known as Outlier Detection), models often …
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