The Math behind Gradient Descent and the Normal Equation for Linear Regression
Author(s): Moeedlodhi When i started my machine learning journey, the math was something that always intrigued me and still does. I for one believe that… Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
How I Build Machine Learning Apps in Hours
Author(s): Arunn Thevapalan In hours, not days. Do we even have a choice? Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Bias Matters! Whatβs Fairlearn, and why should I care?
Author(s): Bruno Cordeiro Improving the fairness of machine learning models. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
MLOps Demystifiedβ¦
Author(s): Shubham Saboo Machine Learning Efficiency is about doing better whatβs already being doneβββPeterΒ Drucker MLOps is modeled on the existing discipline of DevOps, the modern practice of efficiently building, deploying, and running enterprise-grade applications to shorten the systems development life cycle and …
Analysis of the Learning Rate in Gradient Descent Algorithm Using Python
Author(s): Jalal Mansoori In this tutorial, you’ll learn, implement, visualize the Performance of Gradient descent by trying different sets of learning rate values. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Implementing FaceID Technology with a Siamese Neural Network
Author(s): Vasile PΔpΔluΘΔ Machine Learning Understanding more weird networks. Icon from flaticon by NikitaΒ Golubev Face ID is a technology, that allows devices to give access tho themselves only to allowed identities. It uses this looking at the personβs face and if it …
Multi-Armed Bandit with Thompson Sampling
Author(s): George Pipis A practical example of how to run Thompson Sampling in R Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
The Beginnersβ Guide to the ROC Curve and AUC
Author(s): Chetan Ambi Understand what is ROC Curve and AUC, how to works, and how to use it for classification problems Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Simple Linear Regression Tutorial for Machine Learning (ML)
Author(s): Pratik Shukla, Roberto Iriondo Source: Image by the Author. Diving into calculating a simple linear regression and linear best fit with code examples in Python and math in detail This tutorialβs code is available on Github and its full implementation as …
Linear Regression: Why it Matters and How to Write the Code
Author(s): Mahbubul Alam Simple steps to build linear regression models Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Classification Evaluation Metrics Explained Clearly
Author(s): Chetan Ambi Understand Confusion Matrix, Precision, Recall, F1-score, etc. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Credit Card Fraud Prediction using Machine Learning
Author(s): Sharon Lim Exploring the use of Logistic Regression and Naïve Bayes Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Dimensional Analysis in Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. You can’t add apples and oranges. Dimensional analysis is essential in machine learning Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Ace Your Machine learning Interview with How and Why questions.
Author(s): Chandrasekhar Gundluru It’s all about How and Why? Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …