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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 …
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 …
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 …
Billions of Rows, Milliseconds of Time- PySpark Starter Guide
Author(s): Ravi Shankar Originally published on Towards AI. Programming Intended Audience: Data Scientists with a working knowledge of Python, SQL, and Linux How often we see the below error followed by a terminal shutdown followed by despair over lost work: Memory Error- …
GRAPH SLAM: A Beginner’s Guide to this Groundbreaking Mapping Technology
Author(s): Garima Nishad Originally published on Towards AI. Introduction ‘SLAM’ refers to the method of simultaneous localisation (i.e. position/orientation) of some sensor with respect to its surroundings while at the same time mapping the environment. This is an active area of research …
Making A.I. Work for Advertising
Author(s): Dan Lovy Originally published on Towards AI. Implementing AI in the Advertising Industry U+007C Towards AI Take A Walk On The Wild Side You are a digital advertising professional. You either own or have access to vast amounts of information to …
Application of Synthetic Minority Over-sampling Technique (SMOTe) for Imbalanced Datasets
Author(s): Navoneel Chakrabarty Originally published on Towards AI. In Data Science, imbalanced datasets are no surprises. If the datasets intended for classification problems like Sentiment Analysis, Medical Imaging or other problems related to Discrete Predictive Analytics (for example-Flight Delay Prediction) have an …
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