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 …
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 …
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 …
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 …
Limitations of Deep Learning
Author(s): Roberto Iriondo Originally published on Towards AI. Artificial intelligence has achieved incredible feats thanks to deep learning, however, it still falls short of human capabilities. Top highlight February 12, 2019, by Roberto Iriondo — last updated: April 7, 2019 This article …
Bad and Good Regression Analysis
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Regression models are the most popular machine learning models. Regression models are used for predicting target variables on a continuous scale. Regression models find applications in almost every field of study, and …
Essential Math Skills for Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Top highlight Before discussing the 4 math skills needed in machine learning, let’s first of all describe the machine learning process. The machine learning process includes 4 main stages: 1. Problem Framing: …
3 Best Data Science MOOC Specializations
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Bringing you 3 ideal MOOC Data Science specializations to choose from This article discusses 3 important data science MOOC (Massive Open Online Course) specializations. Every beginner trying to learn the fundamentals of …
5 Steps to Become a Data Scientist
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Essential Skills That Every Data Scientist Should Have in His Skills Set Toolbox Data Scientist image. Source: www.quora.com Data Science is such a broad field that includes several subdivisions like data preparation …
Machine Learning: Python Linear Regression Estimator Using Gradient Descent
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Implementation Using Python Estimator In this article, we describe how a simple python estimator can be built to perform linear regression using the gradient descent method. Let’s assume we have a one-dimensional …
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Author(s): Roberto Iriondo Originally published on Towards AI. References: Top highlight December 19, 2018, by Roberto Iriondo — Updated May 5, 2020 Everyone despises CAPTCHAs (humans, since bots do not have emotions) — Those annoying images containing hard to read the text, …
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